TECHNICAL FIELD

The present invention relates to a next-generation artificial intelligence-based PAP (Positive Airway Pressure) device that collects physiological data from the patient for use by patients with occlusive sleep apnea and transmits oxygen-enriched air to the airway of the patient by synchronizing with the oxygen source if necessary, and can perform a personal therapy specific to the patient.

PRIOR ART

The obstructive sleep apnea is when the breath path closes completely or partially during sleep and the amount of oxygen in the blood drops rapidly. To prevent this, the patients use PAP devices (CPAP, APAP, BiPAP, etc.) while sleeping at their homes at night. These devices send compressed air to the patient's airway to prevent narrowing or obstruction of the airway of the patient. There are different types of PAP devices in the medical products market. These devices are called APAP (Automatic PAP), which adjust the pressure value of the air it sends according to the obstruction in the airway. The number of parameters of the algorithms already produced and used by the APAP devices used by the patients is limited. These devices usually adjust the air pressure with airflow and pressure sensors. Thus, when a narrowing or obstruction occurs in the airway of the patient during sleep, the pressure of the air required to be given to the patient is calculated according to the data obtained from the pressure and airflow sensors and the appropriate air value is transmitted to the airway of the patient. In this way, the patient is able to breathe comfortably again by eliminating the obstruction or narrowing of the airway. As mentioned above, old-fashioned APAP devices work to eliminate the problem after the airway narrowing or obstruction of the patient occurs. None of the currently manufactured APAP devices operates according to the principle of preventing obstructive apnea problem before it occurs. This is a technical problem that needs to be addressed for the treatment of obstructive sleep apnea. In patients with obstructive sleep apnea, obstruction of the airway causes the problem of inability to reach enough oxygen to the lungs and as a result of this, the oxygen ratio in the blood drops rapidly. This is the most basic problem for all sleep apnea patients. This problem is particularly at risk of having more hazardous consequences for sleep apnea patients with pulmonary disease, such as asthma and COPD (Chronic Obstructive Lung disease). Because of this type of patient, the oxygen content in the blood drops faster due to insufficient utilization of oxygen and insufficient oxygenation in the ambient air due to lung disease (especially COPD), and patients need additional oxygen therapy. Because old type PAP devices do not have this feature, patients are supplied with additional oxygen from the oxygen tube. Patients are also at risk of oxygen poisoning due to excessive oxygen during therapy, as there are no control mechanisms that adjust this delivered oxygen gas to the immediate need of the patient. This issue is also a problem that needs to be addressed in light of new technological developments.

BRIEF DESCRIPTION OF THE INVENTION

The invention is a computer system embedded to process the data read from these sensors and calculate the appropriate outputs to instantly monitor the condition of the patient, a blower motor used to generate positive air pressure wherein it consists of an algorithm encoded according to an algorithm prepared by artificial intelligence, machine learning, and automated control techniques to ensure adequate oxygenation, and to ensure that all of these units operate in a harmonious and purposeful manner.

LIST OF THE FIGURES

Figure 1. General View of the Device

Figure 2. Algorithm Flow Chart

Naming the part numbers indicated in the figures with the part number

1. Embedded Computer System

2. Sensors

3. Blower Engine

4. Oxygen Source

5. Mask and Hose

6. Software

6.1. Artificial Intelligence Module

6.2. Automatic Control Module 6.3. Interface Module

DETAILED DESCRIPTION OF THE INVENTION

The present invention comprises a software (6) containing an embedded computer system (1 ) a sensor (2) a blower motor (3), an oxygen supply (4), a mask and a hose (5) and an artificial intelligence module (6.1 ), an automatic control module (6.2) and an interface module (6.3) sections.

The obstructive apnea disease occurs as a narrowing (hypopnea) or obstruction (apnea) in the breathing path of the patient during sleep. This obstruction, which occurs beyond the will of the individual, results in the person not being able to adequately breathe and not receive sufficient oxygen. This causes the blood to drop in oxygen. As a result of apnea or hypopnea, the patient usually wakes up and the re-opening of the airway occurs as a result of the patient waking up. This causes frequent interruptions of the sleep of the patient and patient insomnia. This discomfort can trigger many diseases, especially heart diseases, as well as the patient's inability to remain awake. According to recent research, the frequency of the obstructive sleep apnea in adult men is up to 17%, and for women, it is up to 9% (Mendonga et al. , 2018). As these rates can be seen, the obstructive sleep apnea is a very important public health problem.

The invention allows the physiological values (O2 density in the blood, CO2 density in the breathing, abdominal muscle movements, snoring status, body position, airway pressure, airflow, etc.) that are generated in the patient's body during sleep to be transferred to the embedded computer system by means of various sensors (2). The embedded computer system (1 ) recognizes the patient's body and learns the values that will be generated through software (6), which is built with artificial intelligence and machine learning algorithms (6.1 ). This allows the system to cut apnea that may occur later based on the physiological values that occurred during the previous time period. This allows the system to pre-intervene before the patient enters the apnea, delivering the required positive air to the patient's airway to prevent the patient from entering the apnea. The present invention works differently from older type PAP devices, as this intervention is not to solve a resulting apnea problem but to prevent apnea from occurring. Therefore, the present invention can be called the next generation PAP device based on artificial intelligence (6.1 ). Legacy PAP devices (CPAP, APAP, BIPAP, ETC.) only receive data from the patient with pressure and fluidity sensors. With this invention, the next generation PAP device based on artificial intelligence (6.1 ) is available with these sensors, as well as the carbon dioxide sensor, oxygen sensor, snoring sensor, abdominal and thorax motion sensor, body position sensor, jaw-neck electrode and pulse oximeter, etc., it collects data via various sensors (2). These features provide immediate physiological data collection from the patient, which is the unique aspect of the invention. Older types of devices do not have a system that learns the patient's sleep state. The next-generation PAP device is a device that learns and responds to a patient's sleep state overnight through artificial intelligence (6.1 ) and machine learning techniques to develop. The new generation of PAP equipment based on artificial intelligence (6.1 ), the invention will work in synchronization with the pulse oximeter device to determine the oxygen ratio in the blood of the patient. In the case of apnea and hypopnea, the oxygen content of the patient in the blood drops. In order to maintain the blood oxygen level of the patient at the normal level, additional oxygen therapy may be required for the patient if the amount of oxygen in the ambient air is not sufficient or if the patient does not have sufficient lung disease to use oxygen in the environment. Another unique aspect of the present invention is the synchronization of the oxygen supply (4) with the next generation PAP device based on artificial intelligence (6.1 ). PAP devices on the market do not have the ability to synchronize with the oxygen source (4). With the next-generation PAP device based on artificial intelligence (6.1 ), the oxygen source (4) can be synchronized, allowing the patient to receive oxygen-enriched air that is needed.

The invention can solve the apnea problem, which can pose dangerous consequences for patients with lung disease, especially for asthma and COPD (Chronic Obstructive Lung Disease), while at the same time enriching the air to be delivered to the airway of the patients with oxygen when needed, thus transmitting it to the patient. To do this, the present invention synchronizes with the next generation PAP device based on artificial intelligence and an oxygen source (4). The system also allows ambient air to be delivered to the patient along with oxygen gas from the oxygen source (4) to achieve the desired level of oxygen density in the blood of the patient. This process is instantaneously evaluated based on the physiological data received from the patient and is provided by software (6), which is encoded with artificial intelligence algorithms (6.1 ), to enable the supply of oxygen when needed.