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In this paper, the best ECG signal recovery quality of the realistic ECG signal and on which compressed sensing techniques have been applied, is investigated. The contribution of this paper is two folds: Firstly, a real-time ECG signal acquisition is performed using a Shimmer platform. Secondly, the collected are processed by the mean of compressed sensing approach to reduce the signal size and cope...
Long-time cycle wireless monitoring of patients with health concerns is highly required. The quality of care, ability of fall detection and prevention is tremendously increased through enabling continous remote human movement monitoring. The aim of this paper is twofold. Firstly, to propose a real-time energy-aware wireless fall detection system based on emerging compresive sensing (CS). Secondly,...
This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and implementing dedicated IP cores for data analysis, pre-processing, dimensionality reduction and pattern recognition algorithms. This PhD dissertation research is part of an ongoing...
In this paper, an energy aware real-time wireless fall detection system based on the multi-scale analysis is proposed. Furthermore, an efficient feature extraction and compression algorithm for high accuracy fall recognition is presented. The proposed algorithm is carried out on the low-power Shimmer sensing platform. The developed method aims to reduce the amount of 3D acceleration data for energy...
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