首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Smart Pillow for Health Sensing System Based on Temperature and Humidity Sensors
【2h】

A Smart Pillow for Health Sensing System Based on Temperature and Humidity Sensors

机译:基于温湿度传感器的智能卫生保健枕

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The quality of sleep affects the patient’s health, along with the observation of vital life signs such as body temperature and sweat in sleep, is essential in the monitoring of sleep as well as clinical diagnosis. However, traditional methods in recording physiological change amidst sleep is difficult without being intrusive. The smart pillow is developed to provide a relatively easy way to observe one’s sleep condition, employing temperature and humidity sensors by implanting them inside the pillow in strategic positions. With the patient’s head on the pillow, the roles of sensors are identified as main, auxiliary or environmental temperature, based on the differences of value from three temperature sensors, thus the pattern of sleep can be extracted by statistical analysis, and the body temperature is inferred by a specially designed Fuzzy Logic System if the head-on position is stable for more than 15 min. Night sweat is reported on data from the humidity sensor. Therefore, a cloud-based health-sensing system is built in the smart pillow to collect and analyze data. Experiments from various individuals prove that statistical and inferred results reflect normal and abnormal conditions of sleep accurately. The daily sleeping information of patients from the pillow is helpful in the decision-making of diagnoses and treatment, and users can change their habits of sleep gradually by observing the data with their health professional.
机译:睡眠质量会影响患者的健康,并观察生命的生命体征,例如体温和睡眠中的汗水,对于监测睡眠和临床诊断至关重要。但是,记录睡眠中生理变化的传统方法很难做到不打扰。这款智能枕头的开发提供了一种相对容易的方式来观察人的睡眠状况,它通过将温度和湿度传感器植入到处于重要位置的枕头中来使用它们。将患者的头放在枕头上,根据三个温度传感器的值差异,将传感器的作用识别为主要温度,辅助温度或环境温度,从而可以通过统计分析提取睡眠方式,并且人体温度为如果正面位置稳定超过15分钟,则由经过特殊设计的模糊逻辑系统推断。根据湿度传感器的数据报告盗汗。因此,在智能枕头中内置了基于云的健康感测系统,以收集和分析数据。来自各个人的实验证明,统计和推断的结果可以准确反映正常和异常的睡眠状况。枕头上患者的每日睡眠信息有助于做出诊断和治疗的决策,并且用户可以通过与健康专业人员一起观察数据来逐渐改变他们的睡眠习惯。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号