Title:
SIMULATION OF ACCELEROMETER DATA
Document Type and Number:
WIPO Patent Application WO/2022/179989
Kind Code:
A3
Abstract:
A computer-implemented method of simulating the effect of noise on an artificial accelerometer signal, the artificial accelerometer signal indicative of a body movement of an organism, includes the steps of: obtaining artificial acceleration data indicative of the body movement of the organism; obtaining noise characteristics of the accelerometer; and generating a simulated accelerometer signal based on the obtained artificial simulated acceleration data and obtained noise characteristics.
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Inventors:
BOGAARTS JAN GUY (CH)
DERUNGS ADRIAN (CH)
ZANON MATTIA (CH)
DERUNGS ADRIAN (CH)
ZANON MATTIA (CH)
Application Number:
PCT/EP2022/054287
Publication Date:
October 13, 2022
Filing Date:
February 21, 2022
Export Citation:
Assignee:
HOFFMANN LA ROCHE (US)
HOFFMANN LA ROCHE (US)
HOFFMANN LA ROCHE (US)
International Classes:
G16H20/30; G01P15/18
Domestic Patent References:
| WO2019081640A2 | 2019-05-02 |
Foreign References:
| CN107764257A | 2018-03-06 |
Other References:
PARES M E ET AL: "On the generation of realistic simulated inertial measurements", 2015 DGON INERTIAL SENSORS AND SYSTEMS SYMPOSIUM (ISS), IEEE, 22 September 2015 (2015-09-22), pages 1 - 15, XP032803681, DOI: 10.1109/INERTIALSENSORS.2015.7314268
JERATH KSHITIJ ET AL: "Bridging the gap between sensor noise modeling and sensor characterization", MEASUREMENT, INSTITUTE OF MEASUREMENT AND CONTROL. LONDON, GB, vol. 116, 19 September 2017 (2017-09-19), pages 350 - 366, XP085378466, ISSN: 0263-2241, DOI: 10.1016/J.MEASUREMENT.2017.09.012
BOGAARTS GUY ET AL: "Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders", 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), IEEE, 1 November 2021 (2021-11-01), pages 6905 - 6910, XP034043144, DOI: 10.1109/EMBC46164.2021.9630594
CREAGH ANDREW P. ET AL: "Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones", SCIENTIFIC REPORTS, vol. 11, no. 1, 12 July 2021 (2021-07-12), pages 14301, XP055955319, Retrieved from the Internet DOI: 10.1038/s41598-021-92776-x
GARCÍA-VILLAMIL GUILLERMO ET AL: "Influence of IMU's Measurement Noise on the Accuracy of Stride-Length Estimation for Gait Analysis", IPIN-WIP 2021, vol. 3097, 29 November 2021 (2021-11-29), pages Paper 12, XP055955542, Retrieved from the Internet
JERATH KSHITIJ ET AL: "Bridging the gap between sensor noise modeling and sensor characterization", MEASUREMENT, INSTITUTE OF MEASUREMENT AND CONTROL. LONDON, GB, vol. 116, 19 September 2017 (2017-09-19), pages 350 - 366, XP085378466, ISSN: 0263-2241, DOI: 10.1016/J.MEASUREMENT.2017.09.012
BOGAARTS GUY ET AL: "Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders", 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), IEEE, 1 November 2021 (2021-11-01), pages 6905 - 6910, XP034043144, DOI: 10.1109/EMBC46164.2021.9630594
CREAGH ANDREW P. ET AL: "Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones", SCIENTIFIC REPORTS, vol. 11, no. 1, 12 July 2021 (2021-07-12), pages 14301, XP055955319, Retrieved from the Internet
GARCÍA-VILLAMIL GUILLERMO ET AL: "Influence of IMU's Measurement Noise on the Accuracy of Stride-Length Estimation for Gait Analysis", IPIN-WIP 2021, vol. 3097, 29 November 2021 (2021-11-29), pages Paper 12, XP055955542, Retrieved from the Internet
Attorney, Agent or Firm:
MEWBURN ELLIS LLP (GB)
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