使用无线设备远程监测身体热量消耗

C. Rotariu, A. Pasarica, H. Costin, D. Arotaritei, Malina Mancas
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引用次数: 1

摘要

本文的目的是设计和开发一个可靠的远程监测系统,使医疗保健专业人员能够监测肥胖受试者的每日卡路里消耗。该系统采用Z430-Chronos无线开发套件和BM-CS5无线胸带实现。这些装置用于获取被监测对象的测量热量消耗并无线传输到PC。卡路里消耗是根据心率计算的,由胸带提供,加速度计数据由eZ430-Chronos手表的CMA3000-D01三轴加速度计传感器获取。利用LabWindows/CVI环境设计并实现了一个图形用户界面,以显示所选受试者每日热量平衡的时间波形。在为期90天的研究中,该系统在7名肥胖受试者身上进行了测试。他们被要求每天进行体育锻炼,由所描述的系统监测,然后估计卡路里消耗,用于确定他们的每日卡路里平衡,计算热量摄入与卡路里消耗总和和基础代谢率之间的差异。通过在研究开始和结束时确定的生化参数,对受试者的进化进行量化。每个受试者的生化结果的差异显示,通过降低高风险参数:高密度脂蛋白胆固醇,葡萄糖,胰岛素,改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote monitoring of body caloric expenditure using wireless devices
The purpose of this paper was to design and develop a reliable remote monitoring system that allows health care professionals to monitor the daily calories expenditure of obese subjects. The system was implemented by using the Z430-Chronos wireless development kit and BM-CS5 wireless chest strap. These devices were used to acquire and wirelessly transfer to a PC the measured caloric expenditure for the monitored subject. The calories expenditure are computed based on heart rate, provided by the chest strap, and accelerometer data acquired with CMA3000-D01 tri-axial accelerometer sensor from eZ430-Chronos watch. A graphic user interface was designed and implemented by using the LabWindows/CVI environment in order to display the temporal waveform of the daily caloric balance for the selected subject. The implemented system was tested on a group of seven obese subjects during a 90 days study. They were required to do daily physical exercises, being monitored by the described system, followed by the estimation of calories expenditure used in determining their daily caloric balance computed as difference between calories intake and the sum of calories expenditure and basal metabolic rate. The evolution of the subjects was quantified by using the biochemical parameters determined at the beginning and at the end of the days study. The difference of the biochemical results for each subject showed improvements by the lowering of high risk parameters: HDL-cholesterol, glucose, insulin.
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