Ambulatory monitoring system in bed for aged people

为了评估睡眠期间的身体运动，开发了一种监测床上温度和压力的系统。在温度测量方面，该系统由16个温度传感器和一个带有存储卡的数据记录器组成。15个温度传感器在一根扁平电缆上排成一行，间隔6厘米。床上这15个点的温度，以及由附加传感器测量的室温，以预定的间隔存储在存储卡上。这些数据被传送到一台微型计算机上进行分析。姿势和身体运动的变化可以从温度曲线的变化中识别出来，并且通过床上连续温度曲线的三维显示可以很好地可视化。由温度曲线的导数估计出身体运动的时间。将该估计与视频记录进行比较，结果吻合较好。传感器的线性排列提供了高分辨率的温度曲线。在压力测量方面，系统由光学压力传感器和带a /D转换器的笔记本电脑组成。检测压力变化引起的光密度变化，并将其转换为计算机。初步研究表明，头部、肩部、臀部和背部的压力分布相对较高。因此，三个纤维传感器被安置在头部、臀部和背部。姿势和身体运动的变化可以从压力的变化中识别出来。由压力信号的导数估计出身体运动的时间。当三个信号中的两个改变时，确定身体运动的时间。与视频记录相比较，该估计具有较好的一致性。床上的压力测量提供了睡眠时高分辨率的姿势变化。最后，研制了新型固态记录仪。这系统是全自动的。操作员只需打开设备，系统就会记录几个生理参数。少

For assessment of body movements during sleep, a system for monitoring temperature and pressure in bed was developed.In temperature measurement, the system consists of 16 temperature sensors and a data logger with a memory card. Fifteen of the temperature sensors were arranged in line 6 cm apart on a flat cable. The temperatures at these 15 points in the bed, and the room temperature measured by the additional sensor, were stored on the memory card at predetermined intervals. The data were transferred into a microcomputer and analyzed. Changes in posture and body movement were recognizable from the changes in the temperature profile, and well visualized using a three-dimensional display of the successive temperature profiles in the bed. The time of body movement was estimated from the derivative of the temperature profile. Comparison between this estimation and the video recording showed good agreement. The linear arrangement of the sensors provides a high-resolution temperature profil … More e during sleep.In pressure measurement, the system consists of optical pressure sensor and a notebook personal computer with A/D converter. The changes in optical density due to changes in pressure was detected and converted and transferred to computer. Preliminary study shows the pressure distributions of head, shoulder, hip, and back were relatively high. Thus three fiber sensors were arranged head, hip and back. The changes in posture and body movement were recognizable from the changes in pressure. The time of body movement was estimated from the derivative of pressure signal. The time of body movement was determined when two of three signals were changed. In comparison with the video recording, this estimation showed good agreement. The pressure measurement in bed provides a high resolution posture change during sleep.Finally, new solid-state recorder was developed. The system operated full automatic. The operator simply switched on the device and the system was recorded several physiological parameters. Less