基于睡眠监测报警系统的脉搏信号处理研究

Kaisheng Zhang, Jiaan Zhang
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引用次数: 1

摘要

在嵌入式睡眠监测报警系统的研究中,脉冲信号处理的研究是必不可少的。通过对薄膜脉冲传感器的改进,解决了传感器定位的相关问题。同时,采用嵌入式微处理器进行低频滤波、二级放大和多重分析。将正常情况下人体睡眠时的脉搏参数与实际测量的脉搏参数进行比较,可以判断睡眠状况是否正常。刺激器在不影响使用者睡眠的情况下,通过扰乱其失眠机制,进而改善睡眠质量。突发心脑血管疾病的征兆是通过在异常情况下立即发出的警报信号来通知的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the meter's pulse signal processing based on sleep-monitoring alarm system
It is essential to study pulse signal processing while researching the embedded sleep-monitoring alarm system. Through the improvement of thin-film pulse sensor, the sensor location-related issues are solved. At the same time, low frequency filtering, second-level enlargement, and multiple analysis by using an embedded microprocessor are involved. Comparing the pulse parameters during human sleep under normal circumstances and the actual measurement of the pulse parameters can determine whether the sleep condition is normal. Under the condition of not influencing the users' sleep, the stimulator disturbs their insomnia mechanism and then improves the sleep quality. Signs of sudden cardiovascular and cerebrovascular diseases are notified by the alarm signal that is sent out immediately under unusual circumstances.
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