A motion analyzing device includes a myogenic potential measuring unit (20) and a myogenic potential measurement processor (101) to measure the muscle activity of a person who performs a motion and a motion measuring unit (30) and a position measurement processor (102) to measure the body motion. The motion analyzing device also includes an AA muscle co-activation ratio calculating unit (103), a muscle synergy calculating unit (104) and an equilibrium point calculating unit (105) to calculate an equilibrium point of the person and a muscle synergy that is a set of base vectors describing the equilibrium point based on a musculoskeletal model of the person and a constraint condition that the position of the endpoint of the limb matches the position of the equilibrium point in a static situation to keep a posture still under gravity compensation.

A motion analyzing device includes a myogenic potential measuring unit (20) and a myogenic potential measurement processor (101) to measure the muscle activity of a person who performs a motion and a motion measuring unit (30) and a position measurement processor (102) to measure the body motion. The motion analyzing device also includes an AA muscle co-activation ratio calculating unit (103), a muscle synergy calculating unit (104) and an equilibrium point calculating unit (105) to calculate an equilibrium point of the person and a muscle synergy that is a set of base vectors describing the equilibrium point based on a musculoskeletal model of the person and a constraint condition that the position of the endpoint of the limb matches the position of the equilibrium point in a static situation to keep a posture still under gravity compensation.

The invention provides a closed-loop spinal cord electrical stimulation system, including a spinal epidural electrical stimulation electrode, a low limb electrical stimulation electrode, a closed-loop electrical stimulator and a controller. The spinal epidural electrical stimulation electrode, the low limb electrical stimulation electrode and the controller are electrically connected to the closed-loop electrical stimulator respectively. The spinal epidural electrical stimulation electrode is used for applying a first electrical stimulation to the spinal epidural site, and the low limb electrical stimulation electrode is used for applying a second electrical stimulation to a low limb. The voltage of the first electric stimulation is 400-600 mV, the voltage of the second electric stimulation is 1 V-1.5 V, and the stimulation frequency of the both is 10-20 Hz. The stimulation system can send electrophysiological signals similar to sensorimotor neural circuitry to the subject with spinal cord injury, and can activate and remodel the neural circuit.

The invention provides a closed-loop spinal cord electrical stimulation system, including a spinal epidural electrical stimulation electrode, a low limb electrical stimulation electrode, a closed-loop electrical stimulator and a controller. The spinal epidural electrical stimulation electrode, the low limb electrical stimulation electrode and the controller are electrically connected to the closed-loop electrical stimulator respectively. The spinal epidural electrical stimulation electrode is used for applying a first electrical stimulation to the spinal epidural site, and the low limb electrical stimulation electrode is used for applying a second electrical stimulation to a low limb. The voltage of the first electric stimulation is 400-600 mV, the voltage of the second electric stimulation is 1 V-1.5 V, and the stimulation frequency of the both is 10-20 Hz. The stimulation system can send electrophysiological signals similar to sensorimotor neural circuitry to the subject with spinal cord injury, and can activate and remodel the neural circuit.

A respiration sensor is described of a respiration implant system for an implanted patient with impaired breathing. A sensor body is made of electrically insulating material and is configured to fit between two adjacent ribs and between the pectoralis muscle and the parasternal muscle of the implanted patient, with the bottom surface adjacent to an superficial surface of the parasternal muscle and the top surface adjacent to a profound surface of the pectoralis muscle. At least one parasternal sensor electrode is located on the bottom surface of the sensor body and is configured to cooperate with the electrically insulating material of the sensor body to sense a parasternal electromyography (EMG) signal representing electrical activity of the adjacent parasternal muscle with minimal influence by electrical activity of the nearby pectoralis muscle.

A respiration sensor is described of a respiration implant system for an implanted patient with impaired breathing. A sensor body is made of electrically insulating material and is configured to fit between two adjacent ribs and between the pectoralis muscle and the parasternal muscle of the implanted patient, with the bottom surface adjacent to an superficial surface of the parasternal muscle and the top surface adjacent to a profound surface of the pectoralis muscle. At least one parasternal sensor electrode is located on the bottom surface of the sensor body and is configured to cooperate with the electrically insulating material of the sensor body to sense a parasternal electromyography (EMG) signal representing electrical activity of the adjacent parasternal muscle with minimal influence by electrical activity of the nearby pectoralis muscle.

A method operates a hearing system which has a hearing instrument worn in an ear. The method includes capturing a sound signal from an environment, processing the captured sound signal in dependence of a set of signal processing parameters, and outputting a processed sound signal to the user. The method further includes analyzing the captured sound signal to recognize own-voice intervals, in which the user speaks, analyzing the captured sound signal for an acoustic feature of the own voice of the user and/or analyzing a signal of a bio sensor. The bio sensor measures at least one non-acoustic vital function of the user and determines, from the acoustic feature and/or the non-acoustic vital function of the user, a measure of an emotional state of the user. A value of a signal processing parameter is adapted, within the own-voice intervals, to change the emotional state if a criterion is fulfilled.

A method operates a hearing system which has a hearing instrument worn in an ear. The method includes capturing a sound signal from an environment, processing the captured sound signal in dependence of a set of signal processing parameters, and outputting a processed sound signal to the user. The method further includes analyzing the captured sound signal to recognize own-voice intervals, in which the user speaks, analyzing the captured sound signal for an acoustic feature of the own voice of the user and/or analyzing a signal of a bio sensor. The bio sensor measures at least one non-acoustic vital function of the user and determines, from the acoustic feature and/or the non-acoustic vital function of the user, a measure of an emotional state of the user. A value of a signal processing parameter is adapted, within the own-voice intervals, to change the emotional state if a criterion is fulfilled.

A measurement method and an apparatus for period information of a biological signal, an electronic device and a computer-readable storage medium are provided. The measurement method includes: acquiring a feature tensor of a biological signal, classifying the feature tensor by using each of a plurality of binary classifiers to obtain a plurality of classification results, classification parameters of each of the plurality of binary classifiers being different, and determining a first measurement value of the period information of the biological signal based on the plurality of classification results.

A measurement method and an apparatus for period information of a biological signal, an electronic device and a computer-readable storage medium are provided. The measurement method includes: acquiring a feature tensor of a biological signal, classifying the feature tensor by using each of a plurality of binary classifiers to obtain a plurality of classification results, classification parameters of each of the plurality of binary classifiers being different, and determining a first measurement value of the period information of the biological signal based on the plurality of classification results.