A motion monitoring method (500) is provided, which includes: obtaining a movement signal of a user during motion, wherein the movement signal includes at least an electromyographic signal or an attitude signal (510); and monitoring a movement of the user during motion based at least on feature information corresponding to the electromyographic signal or the feature information corresponding to the attitude signal (520).

Provided are chewing information storage means that stores information about chewing quality, muscle activity obtaining means that obtains a muscle activity signal of masticatory muscle of a person, analysis means that frequency-analyzes the muscle activity signal obtained by the muscle activity obtaining means, and analyzes chewing behavior based on the frequency-analyzed muscle activity signal, quality determination means determines quality of the chewing behavior based on information of the chewing behavior analyzed by the analysis means, and extraction means that extracts assistance information corresponding to the chewing quality determined by the quality determination means, from chewing information storage means.

Provided are chewing information storage means that stores information about chewing quality, muscle activity obtaining means that obtains a muscle activity signal of masticatory muscle of a person, analysis means that frequency-analyzes the muscle activity signal obtained by the muscle activity obtaining means, and analyzes chewing behavior based on the frequency-analyzed muscle activity signal, quality determination means determines quality of the chewing behavior based on information of the chewing behavior analyzed by the analysis means, and extraction means that extracts assistance information corresponding to the chewing quality determined by the quality determination means, from chewing information storage means.

The disclosure relates to a computer-implemented method for monitoring diaphragmatic response to phrenic nerve stimulation. The method comprises receiving in real-time a diaphragmatic CMAP signal. The method comprises computing a baseline value of a characteristic of the CMAP signal. The characteristic represents a diaphragmatic response intensity to a phrenic nerve stimulation. The method comprises determining a threshold value of the characteristic, representing a boundary of values of the characteristic indicative of upcoming diaphragmatic palsy. The determining of the threshold value includes shifting the baseline value. The method comprises receiving in real-time a ECG signal. The method comprises repeating in real-time: detecting a QRS complex in the ECG signal, monitoring the CMAP signal, computing a real-time value of the characteristic, comparing the real-time value to the threshold value, and outputting an alert when the threshold is passed. The real-time value of the characteristic is asynchronous to the QRS complex.

A method for configuring a myoelectrically controlled prosthetic system with a prosthesis socket and several lead electrodes for recording electric muscle activities, featuring the steps: placement of a surface electrode arrangement comprising several surface electrodes around the circumference of a residual limb, recording of electric muscle activity in muscles of the residual limb as electromyograhic signals, the activity being recorded by the surface electrodes, evaluation of the myoelectric signals with regards to the distinctness of the signals, selection of the control procedure that is to be used to control the prosthesis system, based on the evaluation of the distinctness of the signals, and fixing of the lead electrodes to the prosthesis socket.

A method for configuring a myoelectrically controlled prosthetic system with a prosthesis socket and several lead electrodes for recording electric muscle activities, featuring the steps: placement of a surface electrode arrangement comprising several surface electrodes around the circumference of a residual limb, recording of electric muscle activity in muscles of the residual limb as electromyograhic signals, the activity being recorded by the surface electrodes, evaluation of the myoelectric signals with regards to the distinctness of the signals, selection of the control procedure that is to be used to control the prosthesis system, based on the evaluation of the distinctness of the signals, and fixing of the lead electrodes to the prosthesis socket.

According to a first aspect of the present invention, there is provided a method for objectively determining a frailty score for a subject, the method comprising: deriving an attribute from sensor data including at least one of EMG data and motion data of the subject and obtained from at least one limb of the subject; quantitatively processing the attribute to determine how the subject is responding to the rehabilitation or exercises program; and objectively determining the frailty score based on the quantitative processing.

According to a first aspect of the present invention, there is provided a method for objectively determining a frailty score for a subject, the method comprising: deriving an attribute from sensor data including at least one of EMG data and motion data of the subject and obtained from at least one limb of the subject; quantitatively processing the attribute to determine how the subject is responding to the rehabilitation or exercises program; and objectively determining the frailty score based on the quantitative processing.

A wearable device according to the present disclosure includes: a communication portion; a body fluid sensor configured to measure conductivity in body fluid; and a controller configured to control the communication portion to transmit conductivity data to an external device in response to the frequency of rapid change in the conductivity.

A wearable device according to the present disclosure includes: a communication portion; a body fluid sensor configured to measure conductivity in body fluid; and a controller configured to control the communication portion to transmit conductivity data to an external device in response to the frequency of rapid change in the conductivity.