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This paper presents a flexible low-cost wireless system specifically designed to acquire fitness metrics both from surface electromyographic (sEMG) and electrocardiographic (ECG) signals. The system, that can be easily extended to capture and process many other biological signals as well as the motion-related body signals, consists of several ultralight wireless sensing nodes that acquire, amplify,...
Technology advancements of sensors, low power mixed-signal/RF circuits, and Wireless Sensor Networks (WSNs) made it possible to construct compact and low cost solutions for a wide range of applications such as healthcare, surveillance, building monitoring, sports and fitness, etc. A new emerging generation of WSN is the Body Sensor Network which is suitable to monitor of the human body, mainly for...
A wearable wireless general purpose bio-signal acquisition prototype system is presented in this paper. Three types of bio-signals could be acquired by the system then wirelessly transmitted to the computer for real-time processing. The prototype experimental results show that the system could acquire electrocardiogram (ECG), surface-electromyography (s-EMG) and electroencephalogram (EEG) for home...
The prevalence of UWB has greatly increased in recent years for numerous applications in dense multipath indoor environments. We have measured and modeled the ultra-wideband (UWB) channel environment found in the operating room which can be used to examine its effects on the performance of UWB positioning and communications systems. Frequency and time domain measurement data obtained in the operating...
This paper deals with a new wireless bio-signal acquisition system for various usage including universal man-machine interfaces. The system mainly consists of two components, that is, “the Intelligent Electrode” and data acquisition host. The former is the key component of this system. It is not only a bio-signal electrode, but also an RF transceiver employing ZigBee technology. It can sample data...
The present paper describes the development of a didactic platform designed to support theoretical and practical learning on Biomedical Engineering themes by Electrical Engineering undergraduate students. This platform provides integrated hardware and software tools for acquisition, processing, transmission, visualization e comprehension of bioelectric signals. It includes a micro-processed base module,...
Sleep disorders affect over 40 million patients and represent a significant a significant risk factor for many, often life threatening diseases. Technologies available for diagnostics and treatment typically involve the recording of key biomedical signals including ECG, EEG, EMG, SpO2, and respiration. Overnight measurement of such parameters is often compromised by the discomfort imposed by conventional...
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