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WO2024238482A3 - Systems and methods for personal training - Google Patents

Systems and methods for personal training Download PDF

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Publication number
WO2024238482A3
WO2024238482A3 PCT/US2024/029120 US2024029120W WO2024238482A3 WO 2024238482 A3 WO2024238482 A3 WO 2024238482A3 US 2024029120 W US2024029120 W US 2024029120W WO 2024238482 A3 WO2024238482 A3 WO 2024238482A3
Authority
WO
WIPO (PCT)
Prior art keywords
user
dataset
data
processor
emg
Prior art date
Application number
PCT/US2024/029120
Other languages
French (fr)
Other versions
WO2024238482A2 (en
Inventor
Yingchun Zhang
Nicholas Dias
Original Assignee
HillMed, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HillMed, Inc. filed Critical HillMed, Inc.
Publication of WO2024238482A2 publication Critical patent/WO2024238482A2/en
Publication of WO2024238482A3 publication Critical patent/WO2024238482A3/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/389—Electromyography [EMG]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/09—Rehabilitation or training
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082—Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Physiology (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

A system for a personal training includes an electromyography (EMG) sensor, a processor, and a memory coupled to the processor. The memory has instructions stored thereon, which when executed by the processor, cause the system to: receive a first dataset including EMG data and/or accelerometer data from a first user; train a machine learning network using the first dataset to generate a preferred training condition; detect, by the sensor, EMG data and/or accelerometer data from a second user; determine, based on the detected EMG data and/or accelerometer data from the second user, a second dataset corresponding to a training action by the second user; and determine, based on a comparison of the preferred training condition with the second dataset, a recommended training condition for the second user.
PCT/US2024/029120 2023-05-12 2024-05-13 Systems and methods for personal training WO2024238482A2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US202363465950P 2023-05-12 2023-05-12
US63/465,950 2023-05-12
US202363543744P 2023-10-12 2023-10-12
US63/543,744 2023-10-12

Publications (2)

Publication Number Publication Date
WO2024238482A2 WO2024238482A2 (en) 2024-11-21
WO2024238482A3 true WO2024238482A3 (en) 2025-02-13

Family

ID=93520206

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2024/029120 WO2024238482A2 (en) 2023-05-12 2024-05-13 Systems and methods for personal training

Country Status (1)

Country Link
WO (1) WO2024238482A2 (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070219059A1 (en) * 2006-03-17 2007-09-20 Schwartz Mark H Method and system for continuous monitoring and training of exercise
US8951165B2 (en) * 2013-03-05 2015-02-10 Microsoft Corporation Personal training with physical activity monitoring device
US20160027325A1 (en) * 2013-03-15 2016-01-28 Nike Innovate C.V. Feedback Signals From Image Data of Athletic Performance
US20170368413A1 (en) * 2016-03-12 2017-12-28 Arie Shavit Training system and methods for designing, monitoring and providing feedback of training
US20210346761A1 (en) * 2020-05-06 2021-11-11 Agile Human Performance, Inc. Automated gait evaluation for retraining of running form using machine learning and digital video data
US11364418B2 (en) * 2018-10-08 2022-06-21 John Piazza Device, system and method for automated global athletic assessment and / or human performance testing

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070219059A1 (en) * 2006-03-17 2007-09-20 Schwartz Mark H Method and system for continuous monitoring and training of exercise
US8951165B2 (en) * 2013-03-05 2015-02-10 Microsoft Corporation Personal training with physical activity monitoring device
US20160027325A1 (en) * 2013-03-15 2016-01-28 Nike Innovate C.V. Feedback Signals From Image Data of Athletic Performance
US20170368413A1 (en) * 2016-03-12 2017-12-28 Arie Shavit Training system and methods for designing, monitoring and providing feedback of training
US11364418B2 (en) * 2018-10-08 2022-06-21 John Piazza Device, system and method for automated global athletic assessment and / or human performance testing
US20210346761A1 (en) * 2020-05-06 2021-11-11 Agile Human Performance, Inc. Automated gait evaluation for retraining of running form using machine learning and digital video data

Also Published As

Publication number Publication date
WO2024238482A2 (en) 2024-11-21

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