Multi-channel sleep monitoring wireless network cap device and monitoring method
A technology of polysomnography and wireless network, which is applied in the field of polysomnography wireless mesh cap device, can solve problems such as difficulty in system construction, interference between signals, and complex communication channel settings for different signal transmissions. Reduce the difficulty of signal transmission, precise anomaly detection, and realize the effect of intelligent display
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Embodiment 1
[0058] Embodiment 1: a kind of polysomnography wireless mesh cap device, such as figure 1 As shown, it includes a wearable body, a signal processing module, a first memory, a data integration module, a multi-channel signal transmitter, a multi-channel signal receiver, a second memory, a data fusion module, a display module, and multiple acquisition devices. The devices are all mounted on the wearable body. The collection device is connected with the signal processing module, and is used to collect the sleep index signal of the target object in the sleep state in real time, and transmit the sleep index signal to the signal processing module. The signal processing module is connected with the data integration module, and is used to extract the index feature sets within the preset time range in different sleep index signals, and establish corresponding time feature sequences according to the preset time range, and transmit the time feature sequences to Data Integration Module. ...
Embodiment 2
[0070] Embodiment 2: a kind of polysomnography method, such as figure 1 shown, including the following steps:
[0071] S101: Collect the sleep index signal of the target object in the sleep state in real time, and transmit the sleep index signal to the signal processing module;
[0072] S102: respectively extracting index feature sets within a preset time range from different sleep index signals, establishing corresponding time feature sequences according to the preset time range, and transmitting the time feature sequences to the data integration module;
[0073] S103: Store the signatures representing different index features in the sleep index signal, and classify and store the signatures according to the index signal category;
[0074] S104: According to the time feature sequence, match and call the corresponding signature in the first memory to form a symbol identification string corresponding to the sleep index signal one-to-one, and according to the integrated signal, ...
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