WO2022101366A4 - System and method for human motion monitoring - Google Patents

System and method for human motion monitoring Download PDF

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Publication number
WO2022101366A4
WO2022101366A4 PCT/EP2021/081435 EP2021081435W WO2022101366A4 WO 2022101366 A4 WO2022101366 A4 WO 2022101366A4 EP 2021081435 W EP2021081435 W EP 2021081435W WO 2022101366 A4 WO2022101366 A4 WO 2022101366A4
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WO
WIPO (PCT)
Prior art keywords
data
measurement sensor
motion monitoring
human motion
sensor units
Prior art date
Application number
PCT/EP2021/081435
Other languages
French (fr)
Other versions
WO2022101366A1 (en
Inventor
Kailash MANOHARA SELVAN
Thomas LABAT-CAMY
Original Assignee
Spatialcortex technology Limited
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Publication date
Application filed by Spatialcortex technology Limited filed Critical Spatialcortex technology Limited
Publication of WO2022101366A1 publication Critical patent/WO2022101366A1/en
Publication of WO2022101366A4 publication Critical patent/WO2022101366A4/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0024Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1124Determining motor skills
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/112Gait analysis

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

A human motion monitoring system for tracking a physical activity of interest of a human subject, comprises: a plurality of body posture measurement sensor units; at least one weight measurement sensor unit; a data hub; and a wireless communication link between the sensor units and the data hub. A method for human motion monitoring, comprises: capturing data from a plurality of body posture measurement sensor units and at least one weight measurement sensor unit, wherein the sensor units are worn by a subject being monitored; analysing the captured data; and designing an intervention for the subject based on the analysis of the captured data.

Claims

AMENDED CLAIMS received by the International Bureau on 16 June 2022 (16.06.2022) A human motion monitoring system for tracking a physical activity of interest of a human subject, comprising: a plurality of body posture measurement sensor units, each body posture measurement sensor unit configured to be attached to a different body part of the human subject and configured to measure an orientation and/or an inclination of a corresponding body part relative to a reference plane; a first weight measurement sensor unit to be attached to a sole of an article of footwear to be worn on a first foot of the human subject and configured to measure weight data corresponding to the first foot; a second weight measurement sensor unit to be attached to a sole of an article of footwear to be worn on a second foot of the human subject and configured to measure weight data corresponding to the second foot; a data hub comprising a processing unit; and a wireless communication link between the sensor units and the data hub; wherein the processing unit is configured to:. receive orientation data and/or inclination data from the plurality of body posture measurement sensor units and weight data from the first and second weight measurement sensor units; apply the received orientation data and/or inclination data and the weight data to a biomechanical model of a human body to determine a set of biomechanical parameters; comparing the biomechanical parameters with reference data; and responsive to determining, based on the comparison, that one of the biomechanical parameters exceeds a defined threshold, generating feedback for presentation to a recipient. A human motion monitoring system as claimed in Claim 1 , wherein the sensing unit of each of the body posture measurement sensor units comprises: an Inertial Measurement Unit (IMU) that comprises, in one unit, an accelerometer and a gyroscope, optionally a magnetometer and optionally a barometer; or a flex sensor comprising a piezo-resistive element.
AMENDED SHEET (ARTICLE 19) A human motion monitoring system as claimed in any preceding claim, wherein each body posture measurement sensor unit is attachable onto or is an integral part of an article of clothing or garment to be worn by the subject. A human motion monitoring system as claimed in any preceding claim, wherein each of the first and second weight measurement sensor units are configured to measure the absolute weight, an additional weight, or a Ground Reaction Force (GRF) of the subject. A human motion monitoring system as claimed in any preceding claim, wherein each of the body posture measurement sensor units and the first and second weight measurement sensor units comprises: a sensing unit, a microcontroller unit (MCU) based measurement circuitry, a radio-frequency (RF) unit for wireless communication, a battery, and optionally a feedback unit. A human motion monitoring system as claimed in any preceding claim, wherein the first and second weight measurement sensor units comprise one or more strain gauges, and/or one or more force resistive sensors, and/or one or more pressure sensors. A human motion monitoring system as claimed in any preceding claim, wherein each of the first and second weight measurement sensor unit is embedded onto a sole that is insertable or attachable to an article of a footwear. A human motion monitoring system as claimed in any preceding claim, wherein the data hub is a wearable unit, a personal computer, or a mobile device. A human motion monitoring system as claimed in any preceding claim, wherein the data hub comprises: a microprocessor or microcontroller for data-processing,
AMENDED SHEET (ARTICLE 19) a RF unit, a battery, a data storage unit, and optionally a feedback unit.
10. A human motion monitoring system as claimed in Claim 9, wherein the RF unit of the data hub has functionality to transfer data to a remote server or a cloud-based server.
11. A human motion monitoring system as claimed in any preceding claims, comprising a two-way wireless communication link between the body posture measurement sensor units, the first and second weight measurement sensor units, and the data hub.
12. A human motion monitoring system as claimed in claim 9, wherein the feedback unit comprises a haptic vibration transducer, and/or a sound source, and/or a light source.
13. A human motion monitoring system as claimed in claim 9 or claim 12, wherein the feedback unit is activatable on receipt of a request for activation from the data hub.
14. A method for human motion monitoring, comprising: capturing data from a plurality of body posture measurement sensor units, each body posture measurement sensor unit configured to be attached to a different body part of a subject, wherein the data comprises an orientation and/or an inclination of a corresponding body part relative to a reference plane; capturing weight data from a first weight measurement sensor unit attached to a sole of an article of footwear worn on a first foot of the subject; capturing weight data from a second weight measurement sensor unit attached to a sole of an article of footwear worn on a second foot of the subject; analysing the captured data by: applying the received orientation data and/or inclination data and the weight data to a biomechanical model of a human body to determine a set of biomechanical parameters; and
AMENDED SHEET (ARTICLE 19) comparing the biomechanical parameters with reference data; and designing an intervention for the subject based on the analysis of the captured data, if it is determined that one of the biomechanical parameters exceeds a defined threshold.
15. A method for human motion monitoring as claimed in Claim 14, wherein the data from plurality of body posture measurement sensor units and the first and second weight measurement sensor units is captured in a series of data capture frames and data is captured simultaneously in every frame.
16. A method for human motion monitoring as claimed in Claim 15, wherein the data captured in every frame is combined into a data packet for every frame, wherein, the data packet has a structure comprising: optional start identifier bytes at the beginning of the packet, bytes corresponding to the orientation data from individual body posture measurement sensor units and bytes corresponding to weight data of the first foot and the second foot from the first and second weight measurement sensor units; and optional end identifier bytes.
17. A method for human motion monitoring as claimed in Claim 15 or 16, wherein, the data packets are used for subsequent data handling including wireless data transfer, data analysis, and/or data storage.
18. A method for human motion monitoring as claimed in any of Claims 14 to 17, further comprising: concurrently calibrating the plurality of body posture measurement sensor units and the first and second weight measurement sensor units, through a set of pre-defined static poses and/or dynamic movements of the subject while wearing the sensors.
19. A method for human motion monitoring as claimed in any of Claims 14 to 18, further comprising: using the data from the plurality of body posture measurement sensor units and the first and second weight measurement sensor units to create the bio-mechanical model of the human body, wherein the biomechanical model is solvable in a static or dynamic fashion.
AMENDED SHEET (ARTICLE 19) A method for human motion monitoring as claimed in Claim 19, wherein said comparing the biomechanical parameters with reference data comprises a comparison to assess Musculo-skeletal health, performance, infer risk of injury, and detect abnormality, wherein the reference data set includes findings from scientific experiments, empirical correlations published in scientific literature, guidelines from regulatory bodies, correlations developed from historic data, machine learnt models, and/or any pre-defined limits or thresholds. A method for human motion monitoring as claimed in Claim 19 or 20, wherein said comparing the biomechanical parameters with reference data is performed in realtime as the data is being collected and/or at a later time on recorded data. A method for human motion monitoring as claimed in any of Claims 19 to 21 , wherein, responsive to detecting an abnormality, a feedback is triggered to the subject or another person, and/or an alert is notified to other relevant parties. A method for human motion monitoring as claimed in any of Claims 19 to 22, wherein an output of said comparing the biomechanical parameters with reference data is presented through a data visualization terminal comprising a mobile application, or a web portal, or suitable software running on a computer, and optionally wherein the data visualization terminal allows a user to log any symptoms experienced by the subject during or after performing the motion activity of interest. A method for human motion monitoring as claimed in Claim 23, wherein symptom data along with data from the plurality of body posture measurement sensor units and the first and second weight measurement sensor units, from one or more subjects over any duration of time is used to derive empirical correlations or train machine learning models which are used as reference data to detect abnormalities. A method for human motion monitoring as claimed any of claims 14 to 24, further comprising:
AMENDED SHEET (ARTICLE 19) using data from additional sensors units such as hand grip sensors, emg sensors, muscle activity sensors, and heart rate monitors to improve the accuracy of the biomechanical model.
AMENDED SHEET (ARTICLE 19)
PCT/EP2021/081435 2020-11-11 2021-11-11 System and method for human motion monitoring WO2022101366A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB2017785.3A GB2600936A (en) 2020-11-11 2020-11-11 System and method for human motion monitoring
GB2017785.3 2020-11-11

Publications (2)

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WO2022101366A1 WO2022101366A1 (en) 2022-05-19
WO2022101366A4 true WO2022101366A4 (en) 2022-08-04

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WO (1) WO2022101366A1 (en)

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WO2024054676A2 (en) * 2022-09-09 2024-03-14 Rxfunction, Inc. Sensory modulation systems for improving gait function and/or balance control and related methods

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US9526420B2 (en) * 2012-10-26 2016-12-27 Nortek Security & Control Llc Management, control and communication with sensors
US10034622B1 (en) * 2014-10-15 2018-07-31 Fadi A. Mahmoud In-shoe foot monitoring utilizing an insert
US10362813B2 (en) * 2014-11-19 2019-07-30 Nike, Inc. Athletic band with removable module
FR3030218B1 (en) * 2014-12-18 2016-12-09 Univ Joseph Fourier - Grenoble 1 SYSTEM AND METHOD FOR CONTROLLING THE MOVEMENT OF A BODY SEGMENT OF AN INDIVIDUAL
US20170225033A1 (en) * 2015-06-23 2017-08-10 Ipcomm Llc Method and Apparatus for Analysis of Gait and to Provide Haptic and Visual Corrective Feedback
US20170038243A1 (en) * 2015-08-06 2017-02-09 Sheng Yu Peng Weight calculating intellingent wearable device and method thereof
US20170188980A1 (en) * 2016-01-06 2017-07-06 Empire Technology Development Llc Wearable sensor based body modeling
WO2019035844A1 (en) * 2017-08-18 2019-02-21 Al Ani Maan Nassar Raja Shoe with body function measurement system
CA3099010A1 (en) * 2018-04-30 2019-11-07 Vanderbilt University Wearable device to monitor musculoskeletal loading, estimate tissue microdamage and provide injury risk biofeedback

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Publication number Publication date
GB2600936A8 (en) 2022-07-06
GB202017785D0 (en) 2020-12-23
GB2600936A (en) 2022-05-18
WO2022101366A1 (en) 2022-05-19

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