PSEUDOMONOPOLAR ELECTRODE CONFIGURATIONS FOR EMG SENSING

    公开(公告)号:US20240398311A1

    公开(公告)日:2024-12-05

    申请号:US18803241

    申请日:2024-08-13

    Abstract: According to some embodiments, a device for sensing neuromuscular signals is provided. The device may comprise a plurality of signal electrodes aligned along an interior portion of a wearable structure, each signal electrode being configured to detect neuromuscular signals. The device may comprise a plurality of amplifiers, wherein each amplifier includes (i) a first input operatively coupled to a corresponding signal electrode, (ii) an inverting input, and (iii) an output corresponding to a neuromuscular signal channel. The device may comprise one or more buffers configured to tap a voltage at the inverting input of a respective amplifier of the plurality of amplifiers. The device may comprise circuitry configured to operatively couple a plurality of outputs of the plurality of amplifiers to generate a common mode reference signal, wherein the common mode reference signal is provided to the inverting input of one or more amplifiers of the plurality of amplifiers.

    ELECTRICAL STIMULATION DEVICE AND ELECTRICAL STIMULATION METHOD

    公开(公告)号:US20240149060A1

    公开(公告)日:2024-05-09

    申请号:US18280209

    申请日:2022-02-08

    Inventor: Kazuhiro MATSUI

    CPC classification number: A61N1/36031 A61B5/313 A61B5/316 A61N1/0452

    Abstract: The electrical stimulation device includes: positive and negative electrodes to be attached to epidermis of agonist-antagonist muscles acting on a target joint; a display unit; an EMG rehabilitation unit that detects an electromyogram of the agonist-antagonist muscles via the electrodes and outputs variation information corresponding to the detected electromyogram to the display unit; a FES rehabilitation unit that instructs motion of the agonist-antagonist muscles via the display unit and outputs a stimulation current signal corresponding to the instructed motion of the agonist-antagonist muscles to the electrodes; a model (inverse model) storage unit that stores models obtained beforehand and relating to target muscle characteristics, the models including: a model for converting the detected electromyogram into the variation information; and a model for converting information on the motion of the agonist-antagonist muscles into the stimulation current signal; and a rehabilitation processing unit that selectively executes the EMG rehabilitation unit and the FES rehabilitation unit.

    PSEUDOMONOPOLAR ELECTRODE CONFIGURATIONS FOR EMG SENSING

    公开(公告)号:US20240090819A1

    公开(公告)日:2024-03-21

    申请号:US17818511

    申请日:2022-08-09

    CPC classification number: A61B5/389 A61B5/296 A61B5/313 A61B5/681 A61B5/7225

    Abstract: Disclosed herein are methods, systems, apparatuses, and media for sensing neuromuscular signals. In one example, a device for sensing neuromuscular signals comprises a wearable structure. The device includes a plurality of signal electrodes aligned along an interior portion of the wearable structure, each signal electrode configured to detect neuromuscular signals. The device further includes a plurality of amplifiers corresponding to the plurality of signal electrodes, wherein an amplifier has: a first input operatively coupled to a corresponding signal electrode; a second input; and an output corresponding to a neuromuscular signal channel. The device further includes circuitry configured to generate a common mode reference signal directly or indirectly based on signals from one or more electrodes, wherein the second input of each amplifier of the plurality of amplifiers is configured to receive the common mode reference signal or a signal based on the common mode reference signal.

    ADAPTIVE STIMULATION ARRAY CALIBRATION

    公开(公告)号:US20230045403A1

    公开(公告)日:2023-02-09

    申请号:US17397674

    申请日:2021-08-09

    Applicant: Cionic, Inc.

    Abstract: A mobility augmentation system assists a user's movement by determining a corresponding electrical stimulation for the movement. A wearable stimulation array includes sensors, electrodes, an electrode multiplexer, and a controller that executes the mobility augmentation system. The sensors measure movement data, and the mobility augmentation system applies a movement model to the measured movement data. The model can determine different electrical actuation instructions depending on the movement stimulated. For example, to stimulate a knee flexion, the movement model output enables a first set of the electrodes to operate as cathodes and a second set of electrodes to operate as anodes. To stimulate a knee extension, the first set of electrodes can be enabled to operate as anodes and a third set of electrodes as cathodes. The user can provide feedback of the applied stimulation, which the system can use to retrain the model and optimize the stimulation to the user.

    Floating biopotential samplings
    5.
    发明授权

    公开(公告)号:US11571159B1

    公开(公告)日:2023-02-07

    申请号:US17130894

    申请日:2020-12-22

    Abstract: The disclosed biopotential measurement device may include a front end comprising a biopotential measurement sensor and a back end comprising a processor programmed to process biopotential signals detected by the biopotential measurement sensor. The biopotential measurement device may also include an isolation circuit that, during at least a sampling phase of the biopotential measurement sensor, electrically isolates the front end from the back end. Various other methods, systems, and computer-readable media are also disclosed.

    WEARABLE DEVICE, SIGNAL PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20210106257A1

    公开(公告)日:2021-04-15

    申请号:US16770789

    申请日:2020-03-18

    Abstract: The present disclosure provides a wearable device, a signal processing method and a signal processing apparatus, the signal processing method is applied to the wearable device, the wearable device is provided with a biosensor and a motion detector group, and the signal processing method includes the following steps. The human physiological signal collected by the biosensor is acquired, the human physiological signal is divided into multiple signal frames, each of the multiple signal frames corresponds to the time range; for each signal frame, it is determined whether the user wearing the wearable device is in the body motion state according to the body motion signal collected by the motion detector group within the time range corresponding to the signal frame, and when the user wearing the wearable device is not in the body motion state, the signal frame is stored into the preset buffer.

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