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公开(公告)号:US12178579B1
公开(公告)日:2024-12-31
申请号:US17141208
申请日:2021-01-04
Applicant: MYOMONITOR LLC
Inventor: William P. Silver , Stephen Clay Trotter , Richard K. Woodard , Benjamin Gatti , Emily Caldwell
Abstract: Wearable sensors and uses thereof are disclosed. Preferred sensors include surface EMG electrodes for measuring electrical muscle activity, by which muscle contraction is measured. Such muscle contraction can be used to determine a person's posture, especially when the contraction being measured is that of core muscles. An alert preferably is provided to a person in real time when an incorrect posture is detected. By providing such biofeedback, a person is trained in maintaining a good posture. Such posture training is believed to heal alleviate or even present lower back pain. Wearable sensors of the invention also can be used to measure contraction in muscles during exercise, including running and strength training, to gain information for use in improving such activities.
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52.
公开(公告)号:US20240379233A1
公开(公告)日:2024-11-14
申请号:US18658127
申请日:2024-05-08
Applicant: Cadwell Laboratories, Inc.
Inventor: Michal Holub , Abram Gardner , Stefan Stalberg
Abstract: In systems and methods for dynamically generating reference limits for use in a neuromonitoring system, a first set of neuromonitoring data from separate patient tests conducted by the neuromonitoring system is received. Each of the separate patient tests is associated with variables. Each of the variables is associated with a corresponding one of the first neuromonitoring data as metadata. The first set of neuromonitoring data is compiled with associated metadata into one or more reference limits. When neuromonitoring data is received from a second patient test, at least one analysis is applied to the second patient test using the one or more reference limits.
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公开(公告)号:US12102453B1
公开(公告)日:2024-10-01
申请号:US17179840
申请日:2021-02-19
Applicant: Von M Homer
Inventor: Von M Homer
CPC classification number: A61B5/7275 , A61B5/11 , A61B5/224 , A61B5/397 , A61B5/4528 , A61B5/486 , A61B5/7267 , G16H10/60 , G16H40/67 , G16H50/30 , G16H50/70
Abstract: The utilization of sensors towards the study of internal and external work at the distal lower extremity during movement is presented. Inertial Measurement Units (IMUs) and Electromyography (EMG) sensors are paired together to calculate the neuromuscular effort and torque at the ankle and are compared with plantar pressure and torque measurements using the pressure mat. Subsequently image tracking data is also to inform machine learning models that predict real-world distance movement from video recorded movement. Finally, a mobile application is developed allowing users to see a simulation of their movements, among other information.
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54.
公开(公告)号:US12048556B2
公开(公告)日:2024-07-30
申请号:US17482028
申请日:2021-09-22
Applicant: InBOS GmbH
Inventor: Thomas Paszicsnyek
CPC classification number: A61B5/4528 , A61B5/1107 , A61B5/256 , A61B5/296 , A61B5/397 , A61B5/4848 , A61B5/6804 , G16H20/30 , A61B2505/09
Abstract: A method and system for determining rehabilitation treatment of a joint, the method comprising communicatively connecting to a plurality of sensors attached to an individual at muscles in a joint area, wherein the plurality of sensors transmit electrical signals generated by the muscle to the computing device. The method further comprising receiving the electrical signals from the plurality of sensors, generating initial measurement data by evaluating strength and activity level of the muscles based on the electrical signals, and comparing the initial measurement data with reference data, wherein the reference data includes measurements of healthy people with normal muscle function. The method further comprising generating a training plan based on the comparison.
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公开(公告)号:US11941176B1
公开(公告)日:2024-03-26
申请号:US18069248
申请日:2022-12-21
Applicant: Meta Platforms Technologies, LLC
Inventor: Alexandre Barachant
CPC classification number: G06F3/015 , A61B5/067 , A61B5/397 , A61B5/6824 , A61B5/7221 , G06F3/017 , G06F3/0346 , G06N3/04 , A61B2560/0223
Abstract: Methods and systems used in calibrating the position and/or orientation of a wearable device configured to be worn on a wrist or forearm of a user, the method comprises sensing a plurality of neuromuscular signals from the user using a plurality of sensors arranged on the wearable device, and providing the plurality of neuromuscular signals and/or signals derived from the plurality of neuromuscular signals as inputs to one or more trained autocalibration models, determining based, at least in part, on the output of the one or more trained autocalibration models, a current position and/or orientation of the wearable device on the user, and generating a control signal based, at least in part, on the current position and/or orientation of the wearable device on the user and the plurality of neuromuscular signals.
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公开(公告)号:US20230337975A1
公开(公告)日:2023-10-26
申请号:US18304722
申请日:2023-04-21
Applicant: Somos Inc.
Inventor: Peter Lund , Julius Jockusch , Albert Chi
CPC classification number: A61B5/486 , A61B5/397 , A61B5/745 , A61B5/7267 , A61B2505/09 , G06F3/015
Abstract: A method can include: acquiring via one or more electromyography (EMG) sensors in electrical contact with a patient, one or more electrical signals; mapping the one or more electrical signals to one or more intended movements via an EMG signal classifier; applying the one or more intended movements to a simulated body region; and rendering a movement of the simulated body region using a virtual reality (VR) display device.
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57.
公开(公告)号:US20230277109A1
公开(公告)日:2023-09-07
申请号:US18017899
申请日:2021-07-30
Applicant: Battelle Memorial Institute
Inventor: Timothy M. Blum , Joshua R. Branch , Samuel Colachis , Amanda I. Noonan , John E. Bartholomew , Nicholas Annetta , Yelena Davis
CPC classification number: A61B5/256 , A61B5/296 , A61B5/397 , A61B5/4836 , A61B5/6824 , A61B5/301 , A61B5/313 , A61N1/0452 , A61N1/0476 , A61N1/0484 , A61N1/36003 , A61N1/36031 , A61B5/725 , A61B2562/0209 , A61B2562/046 , A61B2562/182
Abstract: A device for functional electrical stimulation (FES), neuromuscular electrical stimulation (NMES), and/or in receiving electromyography (EMG) signals includes a sleeve and electrodes. The sleeve is sized and shaped to be worn on a human arm, and comprises a stretchable fabric The electrodes are secured with the sleeve and positioned to contact skin of the human arm when the sleeve is worn on the human arm. An electronic circuit is configured to operate the electrodes. The electronic circuit includes relays connecting the electrodes with a stimulator for performing FES or NMES, and EMG readout circuitry connecting the electrodes with an EMG amplifier. The relays are closed during FES or NMES to connect the stimulator with the electrodes. The relays are open during EMG readout to isolate the stimulator from the EMG amplifier.
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58.
公开(公告)号:US20230260619A1
公开(公告)日:2023-08-17
申请号:US17796034
申请日:2022-02-17
Applicant: Strive Tech Inc.
Inventor: Nikola Mrvaljevic , Michael Mikhaylov
CPC classification number: G16H20/30 , A63B24/0075 , A63B24/0062 , A61B5/397 , A61B5/1118 , A61B5/6804 , A63B2220/836 , A63B2225/50 , A63B2230/08 , A63B2230/60 , A61B2503/10
Abstract: Systems and methods for providing algorithmic training and service recommendations are disclosed herein. In one embodiment, a method for treating a fatigue or an injury of an athlete includes: monitoring a first amplitude of a first muscle of the athlete by a first wearable muscle response sensor carried by the athlete; monitoring a second amplitude of a second muscle of the athlete by a second wearable muscle response sensor carried by the athlete; determining a difference between the first amplitude and the second amplitude; comparing the difference to a predetermined amplitude threshold; and based on the comparing, providing a treatment recommendation to the athlete.
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公开(公告)号:US20230157621A1
公开(公告)日:2023-05-25
申请号:US17919056
申请日:2021-04-12
Applicant: POLITECNICO DI BARI
Inventor: DANIELA DE VENUTO , GIOVANNI MEZZINA , MICHELE RUTA , EUGENIO DISCIASCIO
CPC classification number: A61B5/4023 , A61B5/397 , A61B5/369 , A61B5/1117 , A61B5/6801 , A61B5/7282
Abstract: A method for processing physiological signals (SEMG; SEEG) acquired from a subject (S) allows the detection of an imminent loss of balance of the subject and the generation of a signal (Aout) indicating the imminent loss of balance. The method comprises: the reception of a plurality of electromyographic signals (SEMG) representative of a detected muscle activity of a plurality of selected muscles of the subject, as well as a plurality of brain signals (SEEG) acquired by means of an electroencephalogram and representative of a cortical activity of the subject during said muscle activity; the analysis and processing of the electromyographic signals (SEMG) in order to extract a muscle activity pattern, MAP, and generate an indicator of normality/abnormality of the detected muscle activity pattern; the analysis and processing of the brain signals (SEEG) in order to generate one or more cortical response indicators of the subject upon occurrence of said detected muscle activity (IEGg; LF(k)); and a classification step, wherein at least one indicator (MA(k)) of normality/abnormality of the MAP and one or more of said cortical response indicators are correlated to generate a signal (Aout) indicating an imminent loss of balance.
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公开(公告)号:US20230157605A1
公开(公告)日:2023-05-25
申请号:US17801170
申请日:2021-02-18
Applicant: Strive Tech Inc.
Inventor: Nikola Mrvaljevic
CPC classification number: A61B5/224 , A61B5/397 , A61B5/1112 , A61B5/6802 , A61B2503/10
Abstract: Measuring muscle load in athletic activities, and associated systems and methods are described herein. In an embodiment, a method for monitoring muscle load of an athlete includes: determining a muscle effort (ME) of the athlete by a wearable electromyography (EMG) sensor, and determining at least one inertial measurement unit (IMU) output of the athlete. The method further includes comparing the ME and the IMU output of the athlete, and, based on comparing, determining a performance of the athlete.
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