Abstract: Provided is a WCD system, including a collection module, a master control module and a defibrillation module; the collection module collects a signal, and has human body motion detection and vibration prompting functions; the master control module has a VF/VT analysis algorithm to analyze the collected signal, and can control a power supply of the defibrillation module; the defibrillation module has the VF/VT analysis algorithm and a defibrillation control function. Through the independent defibrillation module and the independent collection module, the reliability of the system can be improved.

Abstract: The present invention provides a selective data transmission method and a system based on a central monitoring system. The selective data transmission method includes a wireless sensor, wherein the wireless sensor executes the following steps of: A. collecting data; B. sending the data to a designated receiving end; C. selecting a receiving end according to an instruction, and taking the receiving end as the designated receiving end; and D. establishing a wireless connection with the designated receiving end. The present invention has the advantageous effects that the method and the system realize selective data transmission through transmitting the data to a selected receiving end, which not only can be applied to the field of medical monitoring, but also can be applied to such fields as security prevention, data backup and the like; working nodes can be switched.

Abstract: The present invention relates to the field of biomedical signal processing, specifically, a device and method of implementation for enhancing the accuracy of fetal heart rate acceleration data recognition.

Abstract: The present invention relates to the field of biomedical signal processing, specifically, a device and method of implementation for enhancing the accuracy of fetal heart rate acceleration data recognition.

Abstract: A device and method for improving the identification accuracy of fetal heart rate deceleration. The method includes: collecting fetal heart rate data (101); performing baseline identification on the collected fetal heart rate data (102); preprocessing the collected fetal heart rate data (103); performing deceleration identification on the preprocessed fetal heart rate data according to preset deceleration judgment standards and a fetal heart rate data baseline to obtain a decelerated data segment (104); and calculating a deceleration attribute value of each decelerated data segment (105), and outputting the decelerated data segment and calculation result (106).

Abstract: An apparatus and method for automatically identifying FHR baseline includes collecting FHR data within a preset duration to obtain an FHR data sequence h?(n); preprocessing the collected FHR data sequence h?(n) to obtain a corresponding FHR data sequence during the preprocessing; selecting a primary dominant peak value according to the frequency distribution of the corresponding FHR data sequence during the preprocessing; and identifying a dynamic baseline according to the corresponding FHR data sequence and the primary dominant peak value during the preprocessing to obtain the dynamic baseline, and display and print the dynamic baseline. The apparatus and method effectively prevents the impact caused by regular change of the FHR to the baseline solution, and accurately reflects the FHR baseline and changes thereof of a fetus under different conditions.

Abstract: A device and method for improving the identification accuracy of fetal heart rate deceleration. The method includes: collecting fetal heart rate data (101); performing baseline identification on the collected fetal heart rate data (102); preprocessing the collected fetal heart rate data (103); performing deceleration identification on the preprocessed fetal heart rate data according to preset deceleration judgment standards and a fetal heart rate data baseline to obtain a decelerated data segment (104); and calculating a deceleration attribute value of each decelerated data segment (105), and outputting the decelerated data segment and calculation result (106).

Abstract: An apparatus and method for automatically identifying FHR baseline includes collecting FHR data within a preset duration to obtain an FHR data sequence h?(n); preprocessing the collected FHR data sequence h?(n) to obtain a corresponding FHR data sequence during the preprocessing; selecting a primary dominant peak value according to the frequency distribution of the corresponding FHR data sequence during the preprocessing; and identifying a dynamic baseline according to the corresponding FHR data sequence and the primary dominant peak value during the preprocessing to obtain the dynamic baseline, and display and print the dynamic baseline. The apparatus and method effectively prevents the impact caused by regular change of the FHR to the baseline solution, and accurately reflects the FHR baseline and changes thereof of a fetus under different conditions.