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在采集不同高度的温度时,在不同高度安置无线网络传感器成本高,无线传感器的电源替换比较困难,为解决此问题,采用了简易螺旋直升机,内置由AT89C51单片机、DS1820数字芯片,可实时采集不同高度的温度。使用JF24D-B无线传输模块将信号送至ARM7控制系统。监控端通过无线信号接收并解析,在μClinux下进行进程调度和数据处理,并通过Python完成数据图表的实时显示,便于用户查看当前温度做出正确决策。 相似文献
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提出了一种基于短距离无线通信技术的传感器网络监测设计方案,设计中采用了MSP430系列微处理器进行信号调节和数值处理,通过集成电源模块、输入模块、无线传输模块和LCD显示模块形成患者生命体征监护传感器的终端节点;在阐述血液净化原理的基础上进行系统的硬件和软件设计,系统分析了各传感器节点与血液净化中心节点之间的实时网络数据传输,解决了血液净化中运行状态的过程控制、患者实时体征监测和实时参数调节等系列问题,最后通过实验仿真测试达到了个性化治疗和安全监控的目的。 相似文献
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Traditional methods for removing ocular artifacts (OAs) from electroencephalography (EEG) signals often involve a large number of EEG electrodes or require electrooculogram (EOG) as the reference, these constraints make subjects uncomfortable during the acquisition process and increase the complexity of brain-computer interfaces (BCI). To address these limitations, a method combining a convolutional autoencoder (CAE) and a recursive least squares (RLS) adaptive filter is proposed. The proposed method consists of offline and online stages. In the offline stage, the peak and local mean of the four-channel EOG signals are automatically extracted to obtain the CAE model. Once the model is trained, the EOG channels are no longer needed. In the online stage, by using the CAE model to identify the OAs from a single-channel raw EEG signal, the identified OAs and the given raw EEG signal are used as the reference and input for an RLS adaptive filter. Experiments show that the root mean square error (RMSE) of the CAE-RLS algorithm and independent component analysis (ICA) are 1.253 3 and 1.254 6 respectively, and the power spectral density (PSD) curve for the CAE-RLS is similar to the original EEG signal. These experimental results indicate that by using only a couple of EEG channels, the proposed method can effectively remove OAs without parallel EOG records and accurately reconstruct the EEG signal. In addition, the processing time of the CAE-RLS is shorter than that of ICA, so the CAE-RLS algorithm is very suitable for BCI system. 相似文献
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该文旨在研究并设计基于人体局域网的远程医疗系统,系统中包含有人体多信号传感器节点,基于CC2420和LPC2103处理器的数字处理器模块以及用VC++设计的主节点实时显示监护平台。构建基于人体局域网的远程家庭医疗健康监护平台,集数据收集、传输、分析和决策支持于一体,为在家治疗的患者提供实时监控。人体多信号传感器节点将人体信号,如:脑电信号、心电信号、脉搏信号、体温信号通过CC2420和LPC2103数据处理发射模块发射给集中器主节点,然后发送到远程医疗系统监护平台。通过远程监控平台,医务人员能够及时获取病患的生理数据,并对其进行有效的分析处理。 相似文献
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为了满足自动监测游泳状态应用需求,设计了一种无线溺水特征识别系统。该系统能在不影响正常游泳的情况下通过自动化手段实时、准确监测游泳者的游泳状态,并对异常情况进行报警。系统的硬件部分由信号采集与预处理模块、无线传输模块和主控模块等组成。主算法部分分为串口数据接收模块、数据预处理模块、溺水特征识别模块和控制模块等。其中溺水特征识别模块是基于人工免疫克隆选择算法进行实现的,与其他识别算法相比其具有天然的模式识别特性,并能提取出常规算法不易提取的特征。由实验结果可看出,该系统可准确、迅速地识别出溺水和非溺水特征。 相似文献
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Ren-Guey Lee Kuei-Chien Chen Chun-Chieh Hsiao Chwan-Lu Tseng 《IEEE transactions on information technology in biomedicine》2007,11(5):507-517
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. 相似文献
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An online machining process monitoring system has been constructed by taking advantage of the new achievements in data acquisition, sensor technology, and signal processing. Firstly, the architecture of monitoring system with the capability of automatic online acquisition, presentation, and analysis sensory signals is designed. Secondly, wavelet transform is further explored to decompose sensory signals into static and dynamic components for the purpose of extracting distinctive features associated with different tool malfunctions. Thirdly, by conjunction with the wavelet transform, univariate and multivariate statistical process monitoring techniques are proposed to construct the thresholds of malfunction-free machining zone. Short time Fourier transform is further introduced to detect the onset of chattering in machining processes. Finally, the effectiveness of the developed techniques and monitoring system has been demonstrated by experimental results obtained from the extensive industrial machining trials. 相似文献
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针对实际应用需求,结合Basic-RF无线通信技术、网络通信技术和GSM通信技术设计了一种基于Basic—RF的家居环境监测预警系统。系统由信息处理子系统和无线传感器网络子系统两部分组成,无线传感器网络子系统利用CC2530的Basic.RF双向无线通信协议结合应用层算法构建,信息处理子系统以STM32单片机为核心,利用ENC28J60网络模块以及SIM900A短信模块实现数据的远程传输。用户可通过上网设备方便地监测家居环境数据。当环境异常时会及时收到报警短信。实验结果表明,该系统具有稳定性高、实用性强、灵活性好的优点,对家居环境监测和预警具有广泛的应用前景。 相似文献
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针对电路输送在地质复杂的农村极易受到恶劣天气的影响从而导致基地滑移、沉降而引发输电杆塔倾斜这一问题,通过建立一套远程无线杆塔倾斜监测装置,通过对数据的采集、处理并进行在线监测与预警,解决了对输电杆塔实时监测问题,且有效预防电网事故的发生,具有优良的可扩展性、稳定性、能耗低、维护方便等特点,能够满足输电系统对配电过程中的监测与预警要求,应用前景好。 相似文献
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针对现有心电心音监测仪覆盖性不足、时效性差等问题,提出了一种基于无线传输的心电(ECG)心音(PCG)监护系统设计.本系统设计有64个监护节点,各节点由传感模块、调理采集模块、存储模块、主控管理模块、通信模块、电源管理模块组成,各节点可对12导联心电信号、HKY-06B心音信号进行同步采集传输,将信息汇总给监护中心并及... 相似文献
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针对带式输送机的电机、托辊、滚筒这些关键部件缺乏有效的监测系统,托辊主要依靠人工目测,劳动量大,电机、滚筒采用传统的温度传感器,不便于安装,达不到相应的监测要求,存在实时性差、盲点多等问题,提出了基于红外热像的带式输送机关键部件监测与故障预警系统。该系统利用红外热像仪实时采集带式输送机的电机、托辊、滚筒的红外图像。利用红外图像处理及识别技术对采集的图像进行分割、特征提取和分类,实现对电机、托辊、滚筒的自动分类识别。根据部件温度和识别的部件类型,对带式输送机关键部件的故障等级做出判断,进行故障预警。实验结果表明,该系统能初步实现带式输送机自动故障预警。 相似文献
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BCI2000: a general-purpose brain-computer interface (BCI) system 总被引:1,自引:0,他引:1
Schalk G McFarland DJ Hinterberger T Birbaumer N Wolpaw JR 《IEEE transactions on bio-medical engineering》2004,51(6):1034-1043
Many laboratories have begun to develop brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and operating protocols. However, the typical BCI system is designed specifically for one particular BCI method and is, therefore, not suited to the systematic studies that are essential for continued progress. In response to this problem, we have developed a documented general-purpose BCI research and development platform called BCI2000. BCI2000 can incorporate alone or in combination any brain signals, signal processing methods, output devices, and operating protocols. This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BC12000 system is based upon and gives examples of successful BCI implementations using this system. To date, we have used BCI2000 to create BCI systems for a variety of brain signals, processing methods, and applications. The data show that these systems function well in online operation and that BCI2000 satisfies the stringent real-time requirements of BCI systems. By substantially reducing labor and cost, BCI2000 facilitates the implementation of different BCI systems and other psychophysiological experiments. It is available with full documentation and free of charge for research or educational purposes and is currently being used in a variety of studies by many research groups. 相似文献
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以移动视频监控为出发点,结合音视频编解码技术、GPS卫星定位、3G无线网络传输等技术,实现对长途客车的实时定位和视频监控。利用无线摄像机、拾音器等车载前端设备进行音视频信息采集,存储在本地磁盘或通过无线网络上传。客车配备自动报警装置,以便报警信息及抓取的图像能够上传至监控中心及时处理。利用集成了语音模块的车载显示屏,实现行车安全提醒。通过内置GPS模块的车载主机,有效节约3G流量。 相似文献