The Design Of Physiological Signal Detection Node For Health Internet Of Things

The technology of the Internet of the Things(IoT) is the result of the continuousdevelopment of the information technology. With the rapid development of the IoT, itsapplication in the fields of healthcare and medical become increasingly wide, whichdereived the concept of the Health Internet of the Things (HIoT). With theimprovement of the living standard, people care more and more about their physicalconditions. They expect that the HIoT could contribute more to improving our health.The physiological signal detection node which can detect and transfer thephysiological signals is the far frontend of the HIoT. It is one of the essential part ofthe HIoT system.The presented study aims to achieve the realization of the design of aphysiological signals detection node for the HIoT, which can measure the two basicphysiological signs: electrocardiogram (ECG) and respiration signals. The node canalso transfer those signals by using wireless communication technology. The wholesystem needs to meet the demand of low power consumption, inexpensive andminiaturization.In this study, we first investigate the basic principle of the ECG and respirationmeasurement and the Bluetooth technology. In terms of the method which used insignal detection, we introduced a series of advanced technology of methods, whichare the oversampling technology, the algorithm of adaptive coherent model forremoval of power-line interference and basic principle of digital lock-in amplifier. Wedeveloped a narrow band-stop digital signal filter from the adaptive coherent modelalgorithm, which is used in the removal of the narrow band interference. We improvedthe digital lock-in algorithm. Those improved technology are used in the detection ofphysiological signals, which result in the simplified circuit design and high efficiencyof the software, which it can also meet the basic demand of accuracy. We alsoproposed a novel design of exciting current source, which is extremely stability.Finally, we realized the signal detection of ECG and respiration by using thePSoC series chip CY8C3665as the main controller chip. In terms of the wirelesscommunication, we take Bluetooth as an example and realized the data transmission.In the entire hardware system, the signal acquisition functions are realized in the chip of CY8C3665, which result in small device size and low cost. We develop a PCprogram to collect and test the acquired data, which suggest the signal acquisitioncircuit can be able to collect and transfer wireless the ECG and respiration signal, thusthe design of physiology signal detection node are realized.