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A novel approach for segmenting ECG signal in a body sensor network employing hidden Markov modeling (HMM) technique is presented. In traditional HMM methods inadequate and slow parameter adaptation is largely responsible for the low positive predictivity rate. To solve the problem, we introduce an active HMM parameter adaptation and ECG segmentation algorithm. Body sensor networks are used to pre-segment...
A novel approach for segmenting ECG signal in a body sensor network employing hidden Markov modeling (HMM) technique is presented. The parameter adaptation in traditional HMM methods is conservative and slow to respond to these beat interval changes. Inadequate and slow parameter adaptation is largely responsible for the low positive predictivity rate. To solve the problem, we introduce an active...
In this paper, a body sensor network based ECG signal segmentation approach is presented. Hidden Markov modeling (HMM) technique is employed. Since people's heart rates vary a lot, the corresponding characteristic waveform intervals and durations change with time as well. For patients with cardiac diseases, such as arrhythmia, the heart beat interval may even change abruptly and irregularly. Because...
In this paper, a body sensor network (BSN) based context aware QRS detection scheme is proposed. The algorithm uses the context information provided by the body sensor network to improve the QRS detection performance by dynamically selecting the leads with best SNR and taking advantage of the best features of two complementary detection algorithms. The accelerometer data from the BSN are used to classify...
In this paper, a body sensor network (BSN) based context aware QRS detection scheme is proposed. The algorithm uses the context information provided by the body sensor network to improve the QRS detection performance by dynamically selecting the leads with best SNR and taking advantage of the best features of two complementary detection algorithms. The accelerometer data from the BSN are used to classify...
In this paper, a medium access control (MAC) protocol designed for body sensor network (BSN-MAC) is proposed. BSN-MAC is an adaptive, feedback-based and IEEE 802.15.4-compatible MAC protocol. Due to the traffic coupling and sensor diversity characteristics of BSNs, common MAC protocols can not satisfy the unique requirements of the biomedical sensors in BSN. BSN-MAC exploits the feedback information...
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