As the socio-economic environment has changed, the number of single and elderly households has increased, and the demand for maintaining a long and healthy life has been increased by continuously monitoring and managing physical conditions against unexpected accidents that may occur when living alone at home. In response to these demands, it is necessary to develop services that provide personalized healthcare services by recording and analyzing living patterns and biometric information in an unconscious way. In this paper, we propose an accuracy improvement method using similarity and Signal-to-noise ratio analysis for BCG measurement method using piezo sensors and a system for continuous personal health monitoring in home without user awareness. Heart rate and respiration rate were derived using the acquired BCG data, and the biometric information is stored symmetrically for personal information security.

随着社会经济环境的变化，单身家庭和老年家庭的数量增加了，并且通过持续监控和管理身体状况以应对独自在家中可能发生的意外事故，维持长寿和健康生活的需求也增加了。响应于这些需求，有必要开发一种通过以无意识的方式记录和分析生活模式和生物特征信息来提供个性化医疗服务的服务。在本文中，我们为使用压电传感器的BCG测量方法提出了一种使用相似度和信噪比分析的准确性提高方法，以及一种无需用户意识即可连续在家中进行个人健康监测的系统。使用采集的BCG数据得出心率和呼吸率，