Matsuoka Shingo, Yonezawa Yoshiharu, Maki Hiromichi, Ogawa Hidekuni, Hahn Allen W, Caldwell W Morton
Department of Electronics, Hiroshima Institute of Technology, Hiroshima 731-5193, Japan.
Biomed Sci Instrum. 2002;38:119-22.
A respiratory and activity recording system has been developed for monitoring health conditions and living patterns, such as activity/rest time periods and general activity level. The system employs a piezoelectric sensor, a low-power operational amplifier, a low-power 8-bit microcomputer and a 512 KB EEPROM. The piezoelectric sensor, whose electrical polarization voltage is produced by mechanical strain, records body movements produced by respiration, heart pulse, walking and running. The high and low frequency components from the recorded body movements are discriminated by high and low pass filters. The high frequency components reflect the body movements produced by cardiac vibrations, walking and running activities. The low frequency components are mainly generated by respiration. The degree of activity is obtained by summing the high frequency components for 1 second. The microcomputer stores the obtained low frequency components and activity to the EEPROM at 0.2 second and 1 second intervals, respectively. After recording, these stored data are downloaded to a desktop computer. The computer then detects behavior patterns from the activity data and respiration from the low frequency components.
一种用于监测健康状况和生活模式(如活动/休息时间段和总体活动水平)的呼吸与活动记录系统已被开发出来。该系统采用了一个压电传感器、一个低功耗运算放大器、一个低功耗8位微型计算机和一个512 KB的电可擦可编程只读存储器(EEPROM)。压电传感器通过机械应变产生电极化电压,记录由呼吸、心跳、行走和跑步产生的身体运动。记录的身体运动中的高频和低频成分由高通和低通滤波器进行区分。高频成分反映由心脏振动、行走和跑步活动产生的身体运动。低频成分主要由呼吸产生。活动程度通过对1秒内的高频成分求和得到。微型计算机分别以0.2秒和1秒的间隔将获取的低频成分和活动情况存储到EEPROM中。记录完成后,这些存储的数据被下载到台式计算机上。然后计算机从活动数据中检测行为模式,并从低频成分中检测呼吸情况。