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In this investigation we have prototyped a wireless ECG (electrocardiogram) sensor for real-time heart rate variability (HRV) detection, based on a commercially available sensor node. An ECG amplifier circuit is designed on a PCB board that is similar size to the sensor node so that it is easily attached to this node to achieve a minimum system size. In this implementation, the ECG is detected from...
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...
The suitable and personalize physical activities plan is a consequential and rewarding strategy to improve individual's health and keep his/her fitness. In this paper, a physical activities healthcare system (PATHS) based on the wearable wireless sensor unit is proposed to help persons evaluate the exercise intensity and estimate the caloric expenditure with electrocardiogram and motion sensors. The...
Personal health status is becoming a matter of concern while pressure of work growing gradually in everyday life, in the meantime, the ageing population needs more attention. Thanks to many challenging problems of wireless sensor networks (WSNs) solved, exploring work of human body monitoring based on WSNs achieved great progress, we called it wireless body sensor networks(BSNs). In this paper, we...
Sensor network, in the form of wireless biomedical sensor network (WBSN), composed of a number of biomedical sensor nodes and multihop networking capability that can be deployed for long term and continuous healthcare monitoring. Physiological signals (ECG, EEG etc) will be measured by the biosensors that provide alerts immediately when abnormalities in a patient's physiological condition are detected...
The effectiveness of ECG monitors can be significantly impaired by motion artefact, which can cause misdiagnoses, lead to inappropriate treatment decisions, and trigger false alarms. However, it is difficult to separate the noise from bio-signal due to its frequency spectrum overlapping that of the ECG. In this paper, we developed a wireless multi-sensor device for physiological signal monitoring,...
ECG is a electrical signal generated by the heart and has a regular rhythm. ECG cycle, however, change depending on the person's activities and heart-related disorders. Therefore, waveform of the ECG signal can be analyzed to assess cardiac abnormalities and lesion of the heart, infer into pathological and biological mechanisms of the heart, and diagnose for various cardiac disorders. ECG enables...
Telemedicine is a future trend of medical care due to the increasing cost of treatment and the aging of population around the world. Several telecommunication technologies are proposed for transferring medical data between a point of care and a hospital. However, it does not provide full mobility where a patient still needs to be attached with wired monitoring devices. In this paper, we proposed a...
Wearable electrocardiograph (ECG) monitoring systems today use electrodes that require skin preparation in advance, and require pastes or gels to make electrical contact to the skin. Moreover, they are not suitable for subjects at high levels of activity due to high noise spikes that can appear in the data. To address these problems, a new class of miniature, ultra low noise, capacitive sensor that...
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