PARAMETERS

TECHNICAL FIELD

[1] The present disclosure generally relates to monitoring and correlating health parameters. More particularly, the present disclosure relates generally to system and method for monitoring one or more health parameters related to health status of one or more individuals having a diseased state and correlating the health parameters to suggest a personalized therapy.

BACKGROUND

[2] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.

[3] Various diseases affect different individuals depending on stage and severity of the disease as well as the personal characteristics, immunity and medical history of the individuals. The presence of diseased state not only affects the digestive system, but also performance status and nutrition intake of the individuals differently that may further severely affect the recovery of the individual from the diseased state. All these factors further may negatively influence the treatment and the pharmacotherapy.

[4] Further, it may be very important to study the different physical and medical characteristics of the individual in the diseased state, as it may severely reduce the sole dependency on medicines and lead to faster recovery while minimizing side effects of medicines.

[5] Hence, there is a need in the art, for an effective system and method for monitoring health parameter. More particularly, a need therefore exists to provide systems, method, devices and apparatuses to study and correlate health parameters for faster recovery of individuals in diseased state.

OBJECTS OF THE PRESENT DISCLOSURE

[6] Some of the objects of the present disclosure, which are aimed to enhance one or more problems of the prior art or at least provide an effective alternative system method are listed herein below. [7] An object of the present disclosure is to provide for a system that facilitates monitoring of health status of a user of any age and of any gender.

[8] An object of the present disclosure is to provide for a system that facilitates monitoring of activity status (sedentary/bedridden/active) and physical exertion/exercise performance status.

[9] An object of the present disclosure is to provide for a system that facilitates monitoring of biochemical parameters specific to health status of a user.

[10] An object of the present disclosure is to provide for a system that facilitates monitoring of any or a combination of basal metabolic rate, catabolic and non catabolic status.

[11] An object of the present disclosure is to provide for a system that facilitates monitoring of physical parameters such as BMI, weight, height, grip, strength, mid upper arm circumference and the like.

[12] An object of the present disclosure is to provide for a system and method that correlates the above mentioned parameters to generate a report.

[13] An object of the present disclosure is to provide for a system that analyses each food item consumed in each meal by a user.

[14] An object of the present disclosure is to provide for a method that predicts the development of a disease, complications and health issues, recovery and prognosis of the user based on the food consumed.

[15] An object of the present disclosure is to provide for a method that recommends corrective measures the user has to follow to prevent the complications and improve the health and recovery rate of the individual

[16] An object of the present disclosure is to provide for a system and a method to facilitate support to a therapist health care staff /doctors to monitor the effectiveness of therapy and suitably alter the treatment modules to improve the health and recovery rates of the user.

SUMMARY [17] The present disclosure generally relates to monitoring and correlating health parameters. More particularly, the present disclosure relates generally to system and method for monitoring one or more health parameters related to health status of one or more individuals having a diseased state and correlating the health parameters to suggest a personalized therapy. [18] In an aspect, the present disclosure provides for a system for monitoring and correlating health parameters. The system may include a user device having an input device associated with a user, one or more sensors configured to detect physical conditions and medical parameters associated with the user and a processor of a centralized server operatively coupled with the user device, to the one or more sensors and to a memory. The memory may store instructions executable by the processor to: receive, from the user device a first set of data packets pertaining to one or more health parameters of the user for a plurality of time interval and receive a second set of data packets pertaining to physical conditions and medical parameters from the one or more sensors. The processor may also extract a first and a second set of attributes from the received first and second set of data packets respectively and then generate an output data pertaining to health condition of the user based on the extracted first and second set of attributes. The generated output data may facilitate improvement of health of the user.

[19] In an embodiment, the one or more health parameters of the user may include presence of diseased state or disease status, nutritional profile of the user, and performance parameters of the user.

[20] In an embodiment, the user device may display the generated output data. The user device can be any or a combination of mobile computing device coupled to the processor having any or a combination of fixed and detachable display panel, a smart phone, a smart wearable device, a laptop and a smart tablet.

[21] In an embodiment, the health parameters may be monitored and updated at regular intervals of time. The system may be configured to train itself to obtain the one or more health parameters to predict and generate the output data over the plurality of time interval. In another embodiment the trained system may be further configured to provide information to a therapist health care staff /doctors on effectiveness of therapy to suitably alter the treatment modules as per system generated output data to improve the health and recovery rates of the user.

[22] In an embodiment, the output data generated can include recommendation/advice for administration of nutrition therapy formula, individualized/dynamic nutrition therapy specific for each diseased state and user characteristics, physical rehabilitation, performance improvement therapies and physical training modules to improve recovery rates from the diseased states.

[23] In an aspect, the present disclosure provides a method for monitoring and correlating health parameters. The method may include the steps of receiving, using a user device, a first set of data packets pertaining to one or more health parameters of the user for a plurality of time interval; receiving, from the one or more sensors, a second set of data packets, pertaining to one or more physical conditions and medical parameters; extracting, at a processor of a centralized server, a first set of attributes from the received first set of data packets; extracting at the processor of the centralized server, a second set of attributes from the received second set of data packets; and based on the extracted first and second set of attributes, generating at the processor of the centralized server, an output data pertaining to health condition of the user. The generated output data may facilitate improvement of health of the user.

[24] In an embodiment, based on the extracted first and second set of attributes, each food item consumed in each meal by the user may be analysed.

[25] In an embodiment, the output data may include prediction of any or a combination of development of one or more diseases, one or more complications, one or more health issues, recovery and prognosis based on the food consumed by the user.

[26] In an embodiment, the output data can include recommendation of corrective measures to improve the health and recovery rate of the user. The corrective measures may be based on dynamic nutrition therapy pertaining to any or a combination of increase in a first one or more food items, decrease in a second one or more food items, avoid a third one or more food items and use of tailor made formula feeds of specific quantity at specific frequency and modes of preparation.

[27] In an embodiment, the method may be configured to obtain registration data comprising name, age, gender, contact details, basic information such as duration of diseased state, medical history and food related allergies through the user device to create a user account, and login credentials may be generated based on acknowledgement of the request and verification of the registration data. The user may enter the generated login credentials to access the system to check health related information which may display graphically any improvement or deterioration in health of the user after monitoring the health parameters over a period of time.

BRIEF DESCRIPTION OF DRAWINGS

[28] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure. [29] The diagrams are for illustration only, which thus is not a limitation of the present disclosure, and wherein:

[30] FIG. 1 illustrates exemplary network architecture in which or with which proposed system may be implemented, in accordance with an embodiment of the present disclosure.

[31] FIG. 2 illustrates an exemplary representation (200) of a centralized server (112) to monitor health parameters, in accordance with an embodiment of the present disclosure.

[32] FIG. 3 is a flow diagram illustrating steps of a method (300) for monitoring health parameters, in accordance with an embodiment of the present disclosure.

[33] FIG. 4 illustrates an exemplary representation (400) depicting different aspects related to health parameters of a user, in accordance with an embodiment of the present disclosure.

[34] FIG. 5 illustrates an exemplary system in which or with which embodiments of the present invention may be utilized in accordance with embodiments of the present disclosure.

DETAILED DESCRIPTION

[35] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to clearly communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure as defined by the appended claims.

[36] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details. Embodiments of the present invention include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, and firmware and/or by human operators. [37] Embodiments of the present invention may be provided as a computer program product, which may include a machine-readable storage medium tangibly embodying thereon instructions, which may be used to program the computer (or other electronic devices) to perform a process. The term “machine-readable storage medium” or “computer-readable storage medium” includes, but is not limited to, fixed (hard) drives, magnetic tape, floppy diskettes, optical disks, compact disc read-only memories (CD-ROMs), and magneto-optical disks, semiconductor memories, such as ROMs, PROMs, random access memories (RAMs), programmable read-only memories (PROMs), erasable PROMs (EPROMs), electrically erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other type of media/machine-readable medium suitable for storing electronic instructions (e.g., computer programming code, such as software or firmware). A machine-readable medium may include a non-transitory medium in which data may be stored and that does not include carrier waves and/or transitory electronic signals propagating wirelessly or over wired connections. Examples of a non-transitory medium may include but are not limited to, a magnetic disk or tape, optical storage media such as compact disk (CD) or digital versatile disk (DVD), flash memory, memory or memory devices. A computer program product may include code and/or machine-executable instructions that may represent a procedure, a function, a subprogram, a program, a routine, a subroutine, a module, a software package, a class, or any combination of instructions, data structures, or program statements. A code segment may be coupled to another code segment or a hardware circuit by passing and/or receiving information, data, arguments, parameters, or memory contents. Information, arguments, parameters, data, etc. may be passed, forwarded, or transmitted via any suitable means including memory sharing, message passing, token passing, network transmission, etc.

[38] Systems depicted in some of the figures may be provided in various configurations. In some embodiments, the systems may be configured as a distributed system where one or more components of the system are distributed across one or more networks in a cloud computing system.

[39] All methods described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., “such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention. [40] Various objects, features, aspects and advantages of the present disclosure will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like features.

[41] FIG. 1 illustrates exemplary network architecture in which or with which a proposed system (100) for monitoring and correlating health parameters may be implemented in accordance with an embodiment of the present disclosure. As illustrated in FIG. 1, in a network implementation, a user (102) may be associated with a user device (104) comprising an input device (106), an interface (108) and one or more sensors (110). The user device (104) may accumulate or obtain one or m22r4ore health parameters of the user (102) including, but not limited to, presence of diseased state or disease status, nutritional profile of the user (102), performance parameters of the user (102) and miscellaneous parameters such as physical condition based parameters and medical parameters. The user device (104) may obtain the presence of diseased state or disease status of the user (102), the nutritional profile of the user (102), the performance parameters of the user (102) and the physical condition based parameters from the user (102) by using the input device (106). The user device (104) may obtain the medical parameters associated with the user (102) by using the sensors (110). The user device (104) may be communicably coupled to a centralized server (112) through a network (120).

[42] In an embodiment, the one or more health parameters may be monitored on a periodic basis at a predefined time interval, wherein, based on the one or more health parameters of the user (102), one or more processors of the centralized server (112) may compute an output associated with health information of the user (102) to facilitate improvement in health of the user (102). In an exemplary embodiment, the predefined time interval may be on a daily, weekly or monthly basis.

[43] In an embodiment, the system (100) may comprise plurality of user devices (104) associated with plurality of users (102). The user (102) may be an individual in a diseased state including, but not limited to, cancer, renal failure, diabetes, pregnancy, geriatrics, major surgeries, tuberculosis, chronic obstructive pulmonary disease (COPD), catabolic states and hepatic disorders. Various other diseased states may also be covered within the scope of the present disclosure.

[44] In an aspect, the one or more health parameters may be monitored by using the input devices (106) or the sensors (110) connected to the user device (104) or through applications residing on the user device (104). The user (102) may be asked for inputs in form of answers for one or more questions related to the one or more health parameters such as the presence of diseased state, the nutritional profile of the user (102), the performance parameters of the user (102) and the physical condition based parameters. In an embodiment, the questions may be related to presence of diseased state including, but not limited to, an existence of co existing disease states, or co morbidities, bodyweight, Ideal body weight, catabolic /non catabolic state, symptoms related to the diseased state, microstomia and gastrointestinal (GI) symptoms like nausea, vomiting, diarrhoea, pain abdomen, discomfort, anorexia, dysphagia, malabsorption syndrome, mucous ulceration. Various other questions related to other presence of any medical condition may also be included.

[45] In another embodiment, the inputs from the user (102) may be any question or measurement related to the nutritional profile of the user (102) including, but not limited to, daily nutritional intake information, type of diet followed, timing of diet intake, frequency of diet intake and fluid intake. Various other questions may also be included in the nutritional profile.

[46] In another embodiment, the inputs from the user (102) may be any question or measurement related to the performance parameters including, but not limited to, grip strength and performance status corresponding to known one or more performance scales. In an embodiment, the performance scales may be conventionally known scales including, but not limited to, Eastern Cooperative Oncology Group (ECOG) performance scale and Karnofsky performance scale. Various other performance parameters may also be included.

[47] In an embodiment, the sensors (110) may be integrated with the user device (104). In another embodiment, the user device (104) may obtain the medical parameters by wired or wireless connection to external sensing devices including, but not limited to, thermometer, blood oximeter, heart rate monitor, blood pressure monitor, weigh scale, and glucose monitor. In another embodiment, the user device (104) may be connected by wired or wireless connection to external sensing devices that can sense at least one body fluid sample originating from the user (102) to detect at least one of haemoglobin (Hb), Serum albumin, total lymphocyte count, Serum potassium, sodium, phosphorus, Serum creatinine, blood urea, fasting blood sugar (FBS), Postprandial glucose test (PPBS) and haemoglobin Ale (HbAlC). Various other sensors or sensing devices may also be used to enable sensing of various other aspects related to medical parameters of the user.

[48] In an implementation, the user device (104) can be accessed by applications residing on any operating system, including but not limited to, AndroidTM, iOSTM, and the like. Examples of the user device (104) can include but are not limited to, a mobile device, a tablet device, a portable computer, a laptop, a personal digital assistant, a handheld device, and a workstation. In an embodiment, the user device (104) may be connected to one or more peripheral devices for providing the inputs related to the one or more health parameters, wherein the peripheral devices may include, but not limited to, a keyboard, a mouse, a touch pad, an image scanner, a touch screen and the like. Various other peripheral devices may also be used.

[49] In an embodiment, the interface (108) of the user device (108) may display the at least one health information computed by the centralized server (112). The interface (108) may be a display screen or any medium for communicating the one or more inputs related to the health parameters of the user and for viewing the output or the computed health information.

[50] In an embodiment, the inputs related to the health parameters of the user (102) can also be provided by a caretaker or guardian of the user (102). This may be applicable of the user (102) is a patient in a diseased state who may be too weak and unable to provide the inputs by themselves. In another example, this may be applicable if the user (102) may be an infant, a young kid or an old person who may not be able to provide the inputs and may need help of a guardian for the same.

[51] FIG. 2 illustrates an exemplary representation for a centralized server (112) to monitor one or more health parameters, in accordance with an embodiment of the present disclosure. The centralized server (112) may comprise one or more processors (202) that may be configured to receive at least one of the health parameters associated with the user (102) from the user device (104), to compute an output including health information associated with the user (102) to facilitate improvement of heath of the user (102). The health information may be computed by correlating different health parameters by using an algorithm that may be able to compute more accurate health information with time by self learning. The health information may be displayed on the interface (108) of the user device (104) for the reference of the user (102) or any caretaker/guardian of the user (102), wherein the health information may include, but not limited to, recommendation/advice for administration of nutrition therapy formulas including individualized/dynamic nutrition therapy specific for each diseased state and user characteristics, physical rehabilitation, performance improvement therapies and physical training modules to improve recovery rates from the diseased states.

[52] The one or more processors (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the centralized server (112). The memory (204) may store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network. The memory (204) may comprise any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.

[53] The centralized server (112) may also comprise an interface(s) (206). The interface(s) (206) may comprise a variety of interfaces, for example, interfaces for data input and output devices, referred to as EO devices, storage devices, SCADA, Sensors and the like. The interface(s) (206) may facilitate communication of the centralized server (112) with various devices coupled to it. The interface(s) (206) may also provide a communication pathway for one or more components of the centralized server (112). Examples of such components include, but are not limited to, processing engine(s) (202) and database (230).

[54] The one or more processors (202) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the one or more processors (202). In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the one or more processors (202) may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the one or more processors (202) may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the one or more processors (202). In such examples, the centralized server (112) may comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the centralized server (112) and the processing resource. In other examples, the one or more processors (202) may be implemented by electronic circuitry.

[55] In an aspect, the database (230) may be configured to store any data including, but not limited to, at least one of the health parameters or the output including health condition associated with the user (102). In another aspect, the database (230) may comprise data that may be either stored or generated as a result of functionalities implemented by any of the components of the processor (202) or the processing engines (208).

[56] In an exemplary embodiment, the processing engine(s) (208) may include a data receiving engine (210), a computing engine (212) and other engines (214), wherein the other engines (220) may further include, without limitation, input reminder engine, storage engine, or signal generation engine.

[57] The data receiving engine (210) may receive, from the user device, a first set of data packets pertaining to one or more health parameters of the user for a plurality of time intervals. The data receiving engine (210) may also receive, from the one or more sensors, a second set of data packets, pertaining to physical conditions and medical parameters.

[58] The computing engine (212) may then extract a first set of attributes from the received first set of data packets and extract a second set of attributes from the received second set of data packets and then the computing engine (212) may be configured to compute and generate output data pertaining to health condition of the user (102) based on the extracted first and second set of attributes.

[59] FIG. 3 is a flow diagram illustrating steps of a method (300) for monitoring health parameters of a user (102), in accordance with an embodiment of the present disclosure. At 302, the method (300) may include receiving, using a user device (104), a first set of data packets pertaining to one or more health parameters of the user for a plurality of time interval and at 304, the method (300) may also include receiving, from the one or more sensors, a second set of data packets, pertaining to one or more physical conditions and medical parameters.

[60] Further, the method (300) may include at 306 extracting, at a processor of a centralized server, a first set of attributes from the received first set of data packets and at 308 extracting at the processor of the centralized server, a second set of attributes from the received second set of data packet.

[61] Furthermore, at 310, the method (300) may include based on the extracted first and second set of attributes, generating at the processor of the centralized server, an output data pertaining to health condition of the user (102) which can facilitate improvement of health of the user (102).

[62] The health information can be displayed on an interface (108) of the user device (104) and may be used as reference by the user (102) or any caretaker/guardian of the user (102), wherein the health information may include, but not limited to, recommendation/advice for administration of nutrition therapy formulas including individualized/personalized and dynamic nutrition therapy specific for each diseased state and user characteristics, physical rehabilitation, performance improvement therapies and physical training modules to improve recovery rates from the diseased states. The dynamic nutrition therapy may keep changing based on improvement or deterioration of health of the user (102) as suggested by frequent monitoring. The output or the health information may be unique for each user (102) depending on their diseased state and may enable meeting the deficiencies of the nutrition profile at individual level on a periodic basis. The inputs related to the health parameters may be provided after regular intervals of time for getting constant updates on the health information for faster recovery. In an exemplary embodiment, the health parameters may be monitored on daily basis, weekly basis or monthly basis. The frequency of monitoring may not be limited to the mentioned period.

[63] In an embodiment, the method (300) may include creating a user account associated with the user (102) by using the user device (104). The user account may be generated by creating a user profile that may require providing details associated with the user (102) including, but not limited to, name, age, gender, contact details, basic information such as duration of diseased state, medical history and any food related allergies. Various other aspects can also be included in the user profile. Once a user profile and a user account may be generated, the user (102) can access their user accounts anytime by following a set of instructions on the user device (104) and by providing specific login credentials. All the information related to the user (102) such as the health parameters, the computed output and other health related information may be stored in the database (230) of the server (112) and can be accessed by the user at any time such as during emergencies or in other events such as doctor visits. The user account may also display graphically any improvement or deterioration in health of the user (102) after monitoring the health parameters over a period of time.

[64] FIG. 4 illustrates an exemplary representation (400) depicting different aspects related to monitoring of health parameters of the user (102), in accordance with an embodiment of the present disclosure. As illustrated in FIG. 4, the user (102) may be associated with the one or more health parameters including, but not limited to, presence of diseased state or disease status (402), nutritional profile (404), performance parameters (406) and miscellaneous parameters (408) such as physical condition based parameters and medical parameters.

[65] In an embodiment, the presence of diseased state or disease status (402) of the user (102) may include, but not limited to, cancer, renal failure, diabetes, pregnancy, geriatrics, major surgeries, tuberculosis, chronic obstructive pulmonary disease (COPD), catabolic states and hepatic disorders. Various other diseased states may also be covered within the scope of the present disclosure.

[66] In an embodiment, the nutritional profile (404) of the user (102) may include, but not limited to, daily nutritional intake information, type of diet followed, timing of diet intake, frequency of diet intake and fluid intake. Various other nutrition related information may also be included in the nutritional profile.

[67] In an embodiment, the performance parameters (406) of the user (102) may include, but not limited to, grip strength and performance status corresponding to known one or more performance scales. In an embodiment, the performance scales may be conventionally known scales including, but not limited to, Eastern Cooperative Oncology Group (ECOG) performance scale and Karnofsky performance scale. Various other performance parameters may also be included.

[68] In an embodiment, the miscellaneous parameters (408) of the user (102) such as physical condition based parameters may include, but not limited to, an existence of co existing disease states, or comorbidities, bodyweight, ideal body weight, catabolic/ noncatabolic state, symptoms related to the diseased state, microstomia and gastrointestinal (GI) symptoms like nausea, vomiting, diarrhoea, pain abdomen, discomfort, anorexia, dysphagia, malabsorption syndrome, mucous ulceration. Various other physical condition based parameters may also be included.

[69] In an embodiment, the miscellaneous parameters (408) of the user (102) such as the medical parameters may involve measurement or quantification of any one including, but not limited to, including, body temperature, heart rate, blood pressure, blood oxygen level, blood sugar level, haemoglobin (Hb), Serum albumin, total lymphocyte count, Serum potassium, sodium, phosphorus, Serum creatinine, blood urea, fasting blood sugar (FBS), Postprandial glucose test (PPBS) and haemoglobin Ale (HbAlC). Various other medical parameters may also be used.

[70] In an embodiment, at least two of the health parameters selected from the presence of diseased state or disease status (402), the nutritional profile (404), the performance parameters (406) the physical condition based parameters and the medical parameters may be correlated to obtain the output associated with the health information of the user (102) to facilitate improvement in health of the user (102). Thus, the present disclosure provides system and method for monitoring health parameters to obtain health information by correlating the different health parameters to improve recovery rates from the diseased states.

[71] FIG. 5 illustrates an exemplary computer system in which or with which embodiments of the present invention can be utilized in accordance with embodiments of the present disclosure. As shown in FIG. 5, computer system 500 can include an external storage device 510, a bus 520, a main memory 530, a read only memory 540, a mass storage device 550, communication port 560, and a processor 570. A person skilled in the art will appreciate that the computer system may include more than one processor and communication ports. Examples of processor 570 include, but are not limited to, an Intel® Itanium® or Itanium 2 processor(s), or AMD® Opteron® or Athlon MP® processor(s), Motorola® lines of processors, FortiSOC™ system on chip processors or other future processors. Processor 570 may include various modules associated with embodiments of the present invention. Communication port 560 can be any of an RS-232 port for use with a modem based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. Communication port 560 may be chosen depending on a network, such a Local Area Network (LAN), Wide Area Network (WAN), or any network to which computer system connects. Memory 530 can be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. Read only memory 540 can be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chips for storing static information e.g., start-up or BIOS instructions for processor 570. Mass storage 550 may be any current or future mass storage solution, which can be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces), e.g. those available from Seagate (e.g., the Seagate Barracuda 7102 family) or Hitachi (e.g., the Hitachi Deskstar 7K1000), one or more optical discs, Redundant Array of Independent Disks (RAID) storage, e.g. an array of disks (e.g., SATA arrays), available from various vendors including Dot Hill Systems Corp., LaCie, Nexsan Technologies, Inc. and Enhance Technology, Inc.

[72] Bus 520 communicatively couples processor(s) 570 with the other memory, storage and communication blocks. Bus 520 can be, e.g. a Peripheral Component Interconnect (PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB or the like, for connecting expansion cards, drives and other subsystems as well as other buses, such a front side bus (FSB), which connects processor 570 to software system.

[73] Optionally, operator and administrative interfaces, e.g. a display, keyboard, joystick and a cursor control device, may also be coupled to bus 520 to support direct operator interaction with a computer system. Other operator and administrative interfaces can be provided through network connections connected through communication port 560. The external storage device 510 can be any kind of external hard-drives, floppy drives, IOMEGA® Zip Drives, Compact Disc - Read Only Memory (CD-ROM), Compact Disc-Re- Writable (CD-RW), Digital Video Disk-Read Only Memory (DVD-ROM). Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system limit the scope of the present disclosure.

[74] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE

[75] The present disclosure provides for a system that facilitates monitoring of health status of a user of any age and of any gender.

[76] The present disclosure provides for a system that facilitates monitoring of activity status (sedentary/bedridden/active) and physical exertion/exercise performance status.

[77] The present disclosure provides for a system that facilitates monitoring of biochemical parameters specific to health status of a user.

[78] The present disclosure provides for a system that facilitates monitoring of any or a combination of basal metabolic rate, catabolic and non catabolic status.

[79] The present disclosure provides for a system that facilitates monitoring of physical parameters such as BMI, weight, height, grip, strength, mid upper arm circumference and the like.

[80] The present disclosure provides for a system and method that correlates the above mentioned parameters to generate a report. [81] The present disclosure provides for a system that analyses each food item consumed in each meal by a user.

[82] The present disclosure provides for a method that predicts the development of a disease, complications and health issues, recovery and prognosis of the user based on the food consumed.

[83] The present disclosure provides for a method that recommends corrective measures the user has to follow to prevent the complications and improve the health and recovery rate of the individual.

[84] The present disclosure provides for a system and a method to facilitate support to a therapist health care staff /doctors to monitor the effectiveness of therapy and suitably alter the treatment modules to improve the health and recovery rates of the user.