Suppr超能文献

一种基于微型计算机的日常生活活动记录系统。

A microcomputer-based daily living activity recording system.

作者信息

Matsuoka Shingo, Yonezawa Yoshiharu, Maki Hiromichi, Ogawa Hidekuni, Hahn Allen W, Thayer Julian F, Caldwell W Morton

机构信息

Department of Electronics, Hiroshima Institute of Technology, Hiroshima 731-5193, Japan.

出版信息

Biomed Sci Instrum. 2003;39:220-3.

Abstract

A new daily living activity recording system has been developed for monitoring health conditions and living patterns, such as respiration, posture, activity/rest ratios and general activity level. The system employs a piezoelectric sensor, a dual axis accelerometer, two low-power active filters, a low-power 8-bit single chip microcomputer and a 128 MB compact flash memory. The piezoelectric sensor, whose electrical polarization voltage is produced by mechanical strain, detects body movements. Its high-frequency output components reflect body movements produced by walking and running activities, while the low frequency components are mainly respiratory. The dual axis accelerometer detects, from body X and Y tilt angles, whether the patient is standing, sitting or lying down (prone, supine, left side or right side). The detected respiratory, behavior and posture signals are stored by the compact flash memory. After recording, these data are downloaded to a desktop computer and analyzed.

摘要

一种新的日常生活活动记录系统已被开发出来,用于监测健康状况和生活模式,如呼吸、姿势、活动/休息比率和总体活动水平。该系统采用了一个压电传感器、一个双轴加速度计、两个低功耗有源滤波器、一个低功耗8位单片机和一个128MB的紧凑型闪存。压电传感器通过机械应变产生电极化电压,检测身体运动。其高频输出分量反映行走和跑步活动产生的身体运动,而低频分量主要是呼吸运动。双轴加速度计从身体的X和Y倾斜角度检测患者是站立、坐着还是躺着(俯卧、仰卧、左侧或右侧)。检测到的呼吸、行为和姿势信号由紧凑型闪存存储。记录完成后,这些数据被下载到台式计算机进行分析。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验