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Krittapat Bannajak, Nipon Theera-Umpon and Sansanee Auephanwiriyakul
In this paper, we propose a lossless electrocardiogram (ECG) compression method using a prediction error-based adaptive linear prediction technique. This method combines the adaptive linear prediction, which minimizes the prediction error in the ECG sign...
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Yeong-Hyeon Byeon and Keun-Chang Kwak
When acquiring electrocardiogram (ECG) signals, the placement of electrode patches is crucial for acquiring electrocardiographic signals. Constant displacement positions are essential for ensuring the consistency of the ECG signal when used for individua...
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Daniel Reiser, Peter Reichel, Stefan Pechmann, Maen Mallah, Maximilian Oppelt, Amelie Hagelauer, Marco Breiling, Dietmar Fey and Marc Reichenbach
In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quant...
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Yue Ma, Qing Liu and Liu Yang
Seafarers are prone to reduce behavioral reliability under high workloads, resulting in human errors and accidents. To explore the changes in seafarers? workload and physiological activities under complex task conditions, a bridge simulator experiment wa...
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Hongpo Zhang, Hongzhuang Gu, Junli Gao, Peng Lu, Guanhe Chen and Zongmin Wang
Atrial fibrillation (AF) is an arrhythmia that may cause blood clots and increase the risk of stroke and heart failure. Traditional 12-lead electrocardiogram (ECG) acquisition equipment is complex and difficult to carry. Short single-lead ECG recordings ...
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Augusto Ciuffoletti
Currently, the deployment of services for real-time delivery of an electrocardiogram to a remote site has a cost that prevents its widespread diffusion, which would contribute to saving lives with prevention, assistance and rescue efficiency. To fill thi...
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