基于ARM的人眼疲劳监测系统

根据监测系统车载、实时、非接触、小型化等要求,设计并实现了一种基于ARM+Linux的嵌入式实时疲劳监测系统.将图像数据预处理、算法参数优化、汇编优化和编译器优化等优化方法相结合,实现了快速的人脸检测,并通过移植OpenCV实现了基于PERCLOS的人眼疲劳检测算法.与基于PC和DSP的疲劳监测系统相比,该实时疲劳监测系统具有强大的网络功能以及更优越的扩展性.在室内环境下的实验结果表明,系统检测准确率达到95%.     

基于无线传感器网络的水资源实时自动监测系统设计

根据无线传感器网络的基本理论和水资源监测的实际需求,提出了基于无线传感器网络的水资源实时自动监测方法,设计了一个能够在线实时测量温度、PH值、电导率、浊度等参数的水资源监测系统。     

儿童情绪监测与情感电生理参数采集系统的研究

针对儿童情绪监测与情感识别的需要,设计了一套便携式儿童情感电生理参数采集系统,主要包括人体心电和体温信息的获取与处理.采集的数据通过蓝牙模块传输到计算机,计算机实时地处理数据并把信息展现给分析者.介绍了便携式儿童情感电生理参数采集系统的设计方案以及利用情感电生理参数监测与判别儿童情感的方法.     

基于物联网的水质监测系统设计

针对传统水质监测方式中存在的测试周期长、数据反馈速度慢等弊端,本文提出一种智慧型水质实时监测系统。本系统以无线传感器网络、网络摄像机以及各类水质污染监测传感器以及后台数据库为核心,开发具有自愈能力的自组网小型水质监测系统,实现对水产养殖用水的水位、溶解氧、PH值、温度、图像等多参数的采集,并通过无线网络实现传感器检测节点和协调器节点之间数据快速、准确的传输,进而对多参数进行实时远程监测,解决水产养殖业水质实时监测和管理问题。     

一种基于物联网的生理健康监测系统

针对生理健康参数的全天候实时监测与管理问题,提出了一种基于物联网的生理健康监测系统构架。系统借助蓝牙技术方便地将腕式采集终端上的生理数据传输至Android智能手机中,智能手机终端可通过多种方式与远程监控平台进行通信,实现了对被测者生理参数的实时监控。同时,为了进一步完善监测系统,重点对时间同步算法进行了改进。实验结果表明：将改进后算法应用到无线生理健康监控系统后,同步时间精度高,能耗低。     

采矿工人生理状况监测系统设计

采矿工人生理状况监测系统是工人矿井下作业时,进行实时、连续、长时间地采集、监测心电、呼吸、体温、血氧饱和度和体动等参数,并实现数据无线传输的系统。针对传统监控设备对工人状态掌控缺乏、矿难频发等重大问题,设计了一款无线、可穿戴、无创、低心理负荷的多参数采矿工人生理状况监测系统,以便准确地了解井下工人生理状况,及时预防危险状况发生,安全顺利地完成采矿工作。     

农作物实验数据查询系统的开发设计

得到农作物茎秆、果实直径、植物茎流和叶绿素含量等生理信息指导农业施肥和灌溉等具有重要意义。对于农业中植物生理参数实时监测方法不足的问题,设计基于B/S架构的农作物实验数据查询系统,对植物各项生理参数进行发送,检测中心编写上位机软件能够实时显示数据与查询历史数据,并且分析判断各项指标数据。实验结果显示,此系统精准度比较高,数据传输稳定,可以满足实际需求。     

基于私有云家庭远程医疗监护系统设计

提出了一种基于私有云的远程医疗监护系统的方案,融合了穿戴式生理参数检测技术、私有云存储技术和ZigBee技术。首先对该系统的总体结构进行了分析和阐述,然后对多生理参数测量终端和私有云主控制中心的硬件结构进行设计,开发各个硬件模块的软件构成远程医疗监护软件系统,实现血氧饱和度、脉搏、体温、无创血压等生理参数测量,ZigBee网络数据传输,私有云存储和WEB网络传输等功能。实验结果表明,该系统在复杂网络环境下均能够获得实时多生理参数和预警。     

便携式多功能实时生理参数监测仪的设计

便携式多功能实时生理参数监测仪是一种可对跑步者跑步时的各种生理参数进行实时监测的仪器,本文以凌阳单片机为核心,配以DS18B20温度传感器、ZD-3微震动传感器和HK-2000脉搏传感器,使得该仪器具有实时监测和显示生理参数的功能。     

亚健康人群多生理参数监护系统的研究

人体的血压、心电、体温等生理参数是人体最基本、最重要的生命指标.对老龄人口、亚健康人员及危重病人生理参数进行实时监测,有利于及时了解人员的身体状况,为临床医生的诊断和治疗提供准确的依据.针对目前国内的这类监护产品存在不能同时采集多种生理参数,体积较大,不方便携带等弊端,该文提出了一种基于IEEE802.15.4标准的低功耗个域网协议(ZigBee)的多生理参数监护系统的设计方法.首先利用生理参数检测模块采集人体各生理信号,然后通过ZigBee模块将采集的生理信号经无线发送方式发送至监控终端供临床医生参考.实验证明该系统稳定可靠,成本低,数据传输速率较快,对老龄人口、亚健康人员及危重病人的监护及远程诊断有极大意义.     

Artificial Neural Network Expert System for Integrated Heart Rate Variability

This paper describes the combination of an expert system for bio-information with smart devices using a wireless sensor network. A wireless bio-sensor module acquires physiological signals, including electrocardiogram, heart rate, heart rate variability (HRV) and autonomic nervous system activity. The smart device transmits the bio-information over a wireless network to a real-time expert consultation function for analysis, storage and decision making. An artificial neural network algorithm detects the HRV parameters and examines them for features of diabetes. A centralized internet information service platform can interrogate the remote client at any time for its bio-information. In addition, the system platform can compare data files. Bio-information and diabetes information can trigger timely alert messages. The system described in this paper could be the basis for a ubiquitous mobile physiological monitor.     

RTWPMS: a real-time wireless physiological monitoring system.

This paper demonstrates the design and implementation of a real-time wireless physiological monitoring system for nursing centers, whose function is to monitor online the physiological status of aged patients via wireless communication channel and wired local area network. The collected data, such as body temperature, blood pressure, and heart rate, can then be stored in the computer of a network management center to facilitate the medical staff in a nursing center to monitor in real time or analyze in batch mode the physiological changes of the patients under observation. Our proposed system is bidirectional, has low power consumption, is cost effective, is modular designed, has the capability of operating independently, and can be used to improve the service quality and reduce the workload of the staff in a nursing center.     

基于光电脉搏波描记方法的多生理参数测量研究

基于单个反射式光电探头,在桡动脉位置测量了脉搏波。利用ATmega16单片机进行660nm和940nm的双波长LED发光控制和数据采集与分析。通过对脉搏波极值的读取实现血氧饱和度和心率的测量;其次,利用时间抽取基2快速傅里叶变换(FFT)对获取的桡动脉信号进行傅里叶变换,实现呼吸频率的测量。测量了10名志愿者的生理参数,并对利用本文设计的系统的测量结果和临床方法记录的结果进行数据的相关性分析,得到血氧饱和度、心率和呼吸频率的相关系数分别为r=0.985、r=0.982和r=0.933。通过相关性分析可以看出,可以利用本文系统进行无创、长时间和多参数的测量。     

5G移动医疗监护系统的设计

分析了在突发卫生事件增加、人口老龄化问题加重、医疗资源紧张和慢性病群体不断增多的背景下,远程医疗的发展能够在一定程度上缓解医疗资源的不均衡,提升医疗效率。使用5G网络的移动医疗监护系统,相比LTE网络下部署的系统具有更低时延、更高速率和超高连接密度的优势,能以更低成本组建远程医疗服务平台。此外,设计了运行在5G网络下的移动医疗监护系统,创新地利用5G NR模组、NB-IoT模组和Wi-Fi模组进行不同场景下数据的传输,验证系统的精确性、稳定性和可扩展性符合预期。系统实时监测生理参数,并传输到云端形成特异性的个人健康数据库,方便医生根据长期生理参数信息作出更加科学准确的诊断,提供个性化的医疗服务。     

社区远程健康监护网络系统的设计与实现

为推动社区医疗的网络化、信息化,文中研究并设计了一种基于B/S架构的社区远程健康监护网络系统。该系统采用LAMP平台网络架构,使用MVC设计模式的Joomla! 内容管理系统及Servlet技术进行开发设计,实现了居民血氧、心电等生理参数的远程监护,健康档案注册等功能。该系统实用性、可扩展性强。     

基于BP神经网络的脉搏触压觉与血压关系分析

本研究旨在探究脉搏触压觉与血压之间的关系,自制的脉搏图像采集系统获得触压觉参数的同时,通过袖带法得到动脉血压值,并进行二者关系预测。首先在不同切脉压力下,采集探头的薄膜搏动视频图像,并从中提取脉搏信号的脉幅最大值、重心频率、功率谱密度最大值等时频域特征。然后采用反向传播神经网络对动脉血压的舒张压和收缩压进行分析。实验结果表明通过以上特征参数可以较准确地预测出血压值。     

一种生理监测的蓝牙智能服饰系统设计

设计了一种具有多参数生理特征监测功能的智能服饰系统。该系统通过压电薄膜传感器和温度传感器完成数据的采集,实现对心率、体温等实时监测。通过加装外部模块,可以无创测量血糖、血氧等。数据处理后经蓝牙无线传输到手机、电脑等外联终端设备,提供数据备份和远程医疗服务等功能。该系统具有穿着轻便、使用简单、安全稳定等优点。     

A mobile care system with alert mechanism.

Hypertension and arrhythmia are chronic diseases, which can be effectively prevented and controlled only if the physiological parameters of the patient are constantly monitored, along with the full support of the health education and professional medical care. In this paper, a role-based intelligent mobile care system with alert mechanism in chronic care environment is proposed and implemented. The roles in our system include patients, physicians, nurses, and healthcare providers. Each of the roles represents a person that uses a mobile device such as a mobile phone to communicate with the server setup in the care center such that he or she can go around without restrictions. For commercial mobile phones with Bluetooth communication capability attached to chronic patients, we have developed physiological signal recognition algorithms that were implemented and built-in in the mobile phone without affecting its original communication functions. It is thus possible to integrate several front-end mobile care devices with Bluetooth communication capability to extract patients' various physiological parameters [such as blood pressure, pulse, saturation of haemoglobin (SpO2), and electrocardiogram (ECG)], to monitor multiple physiological signals without space limit, and to upload important or abnormal physiological information to healthcare center for storage and analysis or transmit the information to physicians and healthcare providers for further processing. Thus, the physiological signal extraction devices only have to deal with signal extraction and wireless transmission. Since they do not have to do signal processing, their form factor can be further reduced to reach the goal of microminiaturization and power saving. An alert management mechanism has been included in back-end healthcare center to initiate various strategies for automatic emergency alerts after receiving emergency messages or after automatically recognizing emergency messages. Within the time intervals in system setting, according to the medical history of a specific patient, our prototype system can inform various healthcare providers in sequence to provide healthcare service with their reply to ensure the accuracy of alert information and the completeness of early warning notification to further improve the healthcare quality. In the end, with the testing results and performance evaluation of our implemented system prototype, we conclude that it is possible to set up a complete intelligent healt care chain with mobile monitoring and healthcare service via the assistance of our system.     

Performance Evaluation of IPv4/IPv6 Networks for Ubiquitous Home-Care Service

Because of rapid development in network technology, Internet usage has become widespread. It allows users with sensing devices to obtain medical data for healthcare, such as physiological signals, voice, and video streams from telemedicine systems, and to send the healthcare data to back-end database systems, creating a ubiquitous healthcare environment. However, this environment requires a widespread and suitable network. IPv6 (Internet protocol version 6) is the next-generation Internet protocol that will be the protocol of future networks; it improves many shortcomings of IPv4. In this paper, we propose an IPv6/IPv4 U-home-care test system and analyze the network's parameters though a series of tests by adjusting network parameters to find the optimal design for applications in the IPv6/IPv4 U-home-care service so as to assure good performance and high quality.     

A system to acquire and record physiological and behavioral dataremotely from nonhuman primates

We describe an integrated system to record physiological and behavioral variables from nonhuman primates in social groups. The system records data simultaneously from two animals in family groups of five. It synchronizes behavioral and physiological data within 16 ms, either on-line or from recordings. Behavioral data are entered by trained observers on-line or from videotape. Recordings of physiological data are produced on-line as stripchart records, tape recordings on the audio channels of video cassettes, and magnetic disk files. The physiological data include two arterial blood flows, arterial blood pressure and heart rate. The data are transmitted from freely behaving animals to a central site via radio telemetry. The infrared link controls the radio transmitter and physiological signal processing electronics, as well as two sources of drugs for each animal. All of the electronics are contained in a small, light backpack that can be worn by either male or female baboons.