Abstract
According to the development needs of wireless sensor networks, this paper uses the combination of embedded system and wireless sensor network technology to design a network node platform. This platform is equipped with a sports training sensor module to measure the physiological indicators of the ward in real time. The network node sends the collected physiological parameters to a remote monitoring center in real time. First, according to the generation mechanism of the physiological index signal and the characteristics of the physiological index signal, the wireless sensor network analysis and processing method are used to denoise the physiological index signal, and the wireless sensor network package is used to extract the characteristics of the physiological index, indicating different types of respiration. The energy characteristics of the sound physiological index signals are different, which verifies the feasibility of the independent component analysis method for separating the physiological index and the physiological index signal of the heart sound. Secondly, the hardware system of physiological index signal acquisition is designed, and the selection principle of the hardware unit is introduced. At the same time, the system structure of the monitor is designed, and then, the wireless sensor network sensor node is researched, the hardware of the wearable monitor system is designed, and the hardware architecture and working mode based on the single‐chip MSP430F149 are given. Finally, the wireless hardware platform includes the following main modules: sensor part, preprocessing circuit module, microprocessing module based on MSP430 low power consumption, wireless transceiver module based on RF chip CC2420, and power supply unit used to provide energy.
Highlights
The wireless sensor network (WSN) is composed of microsensor nodes deployed in the monitoring area
With the continuous development of science and technology in recent years, there has been a situation of multidisciplinary cross integration, and the detection of vital signs parameters based on wireless sensor network nodes has become a new auxiliary and support method in the clinical diagnosis and treatment process
This paper presents a research on the detection of wireless sensor network nodes that integrates collection, processing, and transmission of physiological indicators
Summary
The wireless sensor network (WSN) is composed of microsensor nodes deployed in the monitoring area. This paper presents a research on the detection of wireless sensor network nodes that integrates collection, processing, and transmission of physiological indicators. The collected and processed physiological indicator signals are transmitted to the node or central station through short-distance wireless communication transmission technology, so as to provide diagnosis and treatment services for clinical sports training. Wearable wireless sensor networks can quickly network but can accurately collect various physiological indicators of the human body and surrounding environment information in real time. Sports personnel can collect information and data sensed by other sensor nodes on their bodies through the wearable node and conduct information interaction between each sports personnel and the command center in a single/multihop manner for accuracy This saves lives and monitors the real-time health status of rescue team members and victims and helps combat commanders make the best decisions in sports operations. In a distributed structure, each human body wearing a wearable device is responsible for its own OnBody network communication and communicates with the surrounding On-Body network in a self-organizing form
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