Abstract: A coupled physiological signal measuring device is provided. The coupled physiological signal measuring device includes at least two measuring electrodes, a signal processing unit and a multiplex feedback circuit unit. The measuring electrodes are used to obtain a real-time physiological signal through measurement. The signal processing unit includes a discharge control element. If an electrostatic surge of the real-time physiological signal meets a condition, a discharge control signal is outputted. The multiplex feedback circuit unit is used to discharge the measuring electrodes according to the discharge control signal.

Abstract: A physiological signal measurement system, a physiological signal measurement method, and a mobile device protective case are provided. The physiological signal measurement system includes a first electrode, a second electrode, a reference electrode, an impedance front-end circuit module and a dynamic signal matching module. The first electrode, the second electrode and the reference electrode are used to obtain a first sensing signal and a second sensing signal. The impedance front-end circuit module is used to detect a first impedance of the first electrode and a second impedance of the second electrode, and obtain an original differential signal according to the first sensing signal and the second sensing signal. The dynamic signal matching module is used to obtain a calibration sequence according to the first impedance, the second impedance and the original differential signal, and obtain a compensated calibration sequence according to the calibration sequence and the original differential signal.

Abstract: An electrophysiological signal measurement system, an electrophysiological signal adjustment method and an electrode assembly are provided. The electrophysiological signal measurement system includes an electrode assembly, a variation adjustment device and a signal processing device. The electrode assembly receives an electrophysiological signal, a first electrical characteristic value and a second electrical characteristic value. The variation adjustment device includes a comparison unit and a searching unit. The comparison unit receives the first electrical characteristic value and the second electrical characteristic value, and determines whether a difference between the first electrical characteristic value and the second electrical characteristic value is greater than a threshold.

Abstract: A coupled physiological signal measurement method, a coupled physiological signal measurement system and a graphic user interface are provided. The coupled physiological signal measurement method includes the following steps. An original myoelectric signal is captured. A capacitance value of a skin is obtained. The original myoelectric signal is compensated according to the capacitance value of the skin. The step of compensating the original myoelectric signal according to the capacitance value includes the following steps. The original myoelectric signal is decomposed to obtain several myoelectric sub-signals corresponding to several frequencies, wherein each myoelectric sub-signal has an amplitude variation. The amplitude variations of the myoelectric sub-signals are respectively adjusted according to the capacitance value of the skin. The adjusted myoelectric sub-signals are merged to obtain a compensated myoelectric signal.

Abstract: An exercise sensing method, an exercise sensing apparatus and an exercise sensing system are provided. The exercise sensing system includes a computing device, a storage device and at least one biophysical quantity sensor disposed on at least one muscle portion of a user. In the method, a current muscle strength of the muscle portion when the user performs an exercise is monitored by the biophysical quantity sensor. An exercise history of the user is accessed to obtain a muscle strength reference value of the muscle portion when the user previously performed the exercise. The current muscle strength is compared with the muscle strength reference value so as to adjust an exercise intensity of the exercise.

Abstract: A physiological signal recognition apparatus and a physiological signal recognition method are provided. A root mean square algorithm is executed on a physiological signal to obtain a noise threshold, and the physiological signal is adjusted based on the noise threshold to obtain an adjusted signal. Then, a muscle strength starting point in the adjusted signal is detected.

Abstract: A weight training method, a weight training apparatus and a weight training system are provided. In the method, a weight of a load of a user operating the weight training apparatus is detected by a load sensor, a motion of the load is detected by an activity sensor, and thereby an operation power of the weight training apparatus is calculated. A force applied by the muscle portion when the user operates the weight training apparatus is detected by at least one biophysical quantity sensor disposed on at least one muscle portion of the user and used to calculate an energy power consumed by the user. An exercise efficiency value of the user is calculated by using the energy power and the operation power, and the user is prompted to adjust an operation performed on the weight training apparatus when the exercise efficiency value drops beyond a preset ratio.

Abstract: Provided are a physiological signal sensing system and a physiological signal sensing method. The physiological signal sensing system includes a physiological signal sensing apparatus, a variation sensing apparatus, and a signal processing apparatus. The physiological signal sensing apparatus is disposed on a fabric to sense and provide physiological signals of an organism. The physiological signal sensing apparatus includes capacitive coupling devices. The variation sensing apparatus is disposed on the fabric and includes a distance sensing device to sense a distance between the physiological signal sensing apparatus and the organism, and provide a first capacitance variation signal according to the distance.

Abstract: An exercise sensing method, an exercise sensing apparatus and an exercise sensing system are provided. The exercise sensing system includes a computing device, a storage device and at least one biophysical quantity sensor disposed on at least one muscle portion of a user. In the method, a current muscle strength of the muscle portion when the user performs an exercise is monitored by the biophysical quantity sensor. An exercise history of the user is accessed to obtain a muscle strength reference value of the muscle portion when the user previously performed the exercise. The current muscle strength is compared with the muscle strength reference value so as to adjust an exercise intensity of the exercise.

Abstract: A weight training method, a weight training apparatus and a weight training system are provided. In the method, a weight of a load of a user operating the weight training apparatus is detected by a load sensor, a motion of the load is detected by an activity sensor, and thereby an operation power of the weight training apparatus is calculated. A force applied by the muscle portion when the user operates the weight training apparatus is detected by at least one biophysical quantity sensor disposed on at least one muscle portion of the user and used to calculate an energy power consumed by the user. An exercise efficiency value of the user is calculated by using the energy power and the operation power, and the user is prompted to adjust an operation performed on the weight training apparatus when the exercise efficiency value drops beyond a preset ratio.

Abstract: A method and a system for action monitoring of reciprocating sport are provided. The monitoring method is adapted for a monitoring system including a calculation apparatus, at least one gravity sensor disposed on at least one motion part of a human body and at least one electromyography sensor disposed on at least one muscle part of the human body. The method includes: in a process of a reciprocating sport involving multiple actions performed by the human body, sensing a relative angle of each motion part with respect to a reference position of the human body by the gravity sensor and sensing a startup sequence of the muscle part by the electromyography sensor; determining the action performed by the human body according to the relative angle; and determining whether a force applied by the human body is correct according to the action and the startup sequence of the muscle part.

Abstract: A physiological detection device includes a main body, a sensor pair, a signal processor, and a calculation module. The sensor pair is disposed in the main body and adapted to detect a detected portion of a human body, so as to obtain a sensing signal. The signal processor is disposed in the main body and receives and processes the sensing signal, so as to output a digital physiological signal. The calculation module receives the digital physiological signal and calculates to obtain first information and second information of a plurality of feature points of the digital physiological signal. The calculation module calculates a ratio of the second information to the first information, so as to obtain a physiological state index. The digital physiological signal includes a plurality of pulse waves generated according to a time sequence.