Abstract: A wearable device for reflecting a fatigue level of a human body is disclosed. The device comprises a physiological signal acquisition module, a signal conditioning module, a parameter extraction module and a decision module. The physiological signal acquisition module is configured to acquire physiological signals of a testee. An output end of the physiological signal acquisition module is connected to an input end of the signal conditioning module. The signal conditioning module is configured to perform signal conditioning on the physiological signals. An output end of the signal conditioning module is connected to an input end of the parameter extraction module. The parameter extraction module is configured to extract time-domain and frequency-domain parameters in a specific time window. An output end of the parameter extraction module is connected to an input end of the decision module. The decision module is configured to decide a fatigue level of the testee.

Abstract: A method for dynamically adjusting a Bluetooth connection interval applied to an ECG measuring instrument includes: S1. initializing a Bluetooth module in a slave machine of the ECG measuring instrument, which enters an executable working status after self-inspection; S2. setting a Bluetooth system connection status based on a system status marking event sent from the slave machine to a master machine; S3. according to the connection status determined in step S2, the master machine and the slave machine entering a low-speed connection status after they complete data transmission in a high-speed connection status; S4. implementing interrupt processing between the master machine and the slave machine if no data transmission occurs between the master machine and the slave machine over 2 ms; and S5. going back to step S2 if the connection needs to be restored.

Abstract: The present disclosure relates to a wearable device with improved sleep monitoring accuracy. The device comprises a signal acquisition module, a signal conditioning module, a parameter extraction module, a decision module and a sleep quality evaluation module. The signal acquisition module is configured to acquire physiological signals through a sensor. The signal conditioning module is configured to receive the physiological signals and obtains a plurality of data signals by signal conditioning. The parameter extraction module is configured to receive the data signals and extract feature parameter signals. The decision module is configured to combine a plurality of feature parameter signals. The sleep quality evaluation module is configured to perform sleep quality evaluation according to the fused plurality of feature parameter signals.

Abstract: The disclosure relates to a method for improving the accuracy of capacity measurement, including: determining an optimal state of capacity detection of a device; determining a current state of the device when a capacity detection cycle arrives; directly performing battery capacity detection if the current state is an optimal state, and finishing the capacity detection cycle upon completion of the detection; and if the current state is not an optimal state, executing the subsequent step; and storing related information about the current state of the device, switching the device to the optimal state, performing battery capacity detection on the device in the optimal state, and switching the device to a state prior to the detection upon completion of the detection.

Abstract: A wearable device for reflecting a fatigue level of a human body is disclosed. The device comprises a physiological signal acquisition module, a signal conditioning module, a parameter extraction module and a decision module. The physiological signal acquisition module is configured to acquire physiological signals of a testee. An output end of the physiological signal acquisition module is connected to an input end of the signal conditioning module. The signal conditioning module is configured to perform signal conditioning on the physiological signals. An output end of the signal conditioning module is connected to an input end of the parameter extraction module. The parameter extraction module is configured to extract time-domain and frequency-domain parameters in a specific time window. An output end of the parameter extraction module is connected to an input end of the decision module. The decision module is configured to decide a fatigue level of the testee.

Abstract: A method for dynamically adjusting a Bluetooth connection interval applied to an ECG measuring instrument includes: S1. initializing a Bluetooth module in a slave machine of the ECG measuring instrument, which enters an executable working status after self-inspection; S2. setting a Bluetooth system connection status based on a system status marking event sent from the slave machine to a master machine; S3. according to the connection status determined in step S2, the master machine and the slave machine entering a low-speed connection status after they complete data transmission in a high-speed connection status; S4. implementing interrupt processing between the master machine and the slave machine if no data transmission occurs between the master machine and the slave machine over 2 ms; and S5. going back to step S2 if the connection needs to be restored.