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Monitoring biosignals with Low Cost Wearable Sensors

Computer Technology and Application 2013年第6期4卷 323-326页

作者： Filipe Oliveira1 Gil Goncalves Raquel Sousa RTD Department Inovamais Matosinhos 4450 Portugal Faculty of Engineering University Porto Porto 4200 Portugal IncreaseTime Matosinhos 4450 Portugal

With the increase of aging population, we have been witnessing a decline in the quality of life influenced by numerous social, cultural and economic factors. Several studies have addressed these facts and some emerging technologies are capable of monitoring and anticipating these problems. With the advance in the development of smart textiles, it＇s possible to use these technologies in the acquisition of biosignals, which allows obtaining a better comfort regarding the use of smart clothes over traditional Ag/AgCI electrodes. In this way, it is possible to monitor for longer periods reducing the discomfort to the user. This paper reports the development of a low cost sensor with the capability of monitoring the electrical activity of the heart, measuring the heart rate and body temperature and is applied in the scenario： health ＆ wellbeing, targeting the continuous measurement of vital signs.

关键词： ECG (electrocardiogram) monitoring heart rate smart textile electrodes Ag/AgCI biosignals continuous monitoring.

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Reproducing Cochlear Signals by a Minimal Electroacoustic Model

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Open Journal of Biophysics 2012年第2期2卷 33-39页

作者： Giovanna Zimatore Marta Cavagnaro Alessandro Giuliani Alfredo Colosimo Department of Environment and Primary Prevention Istituto Superiore di Sanità (I.S.S.) Rome Italy Department of SAIMLAL Section of Anatomy Sapienza University Rome Italy Departmentt of Information Engineering Electronics and Telecommunications Sapienza University Rome Italy Institute of Otolaryngology School of Medicine Catholic University Rome Italy

Transient-Evoked Otoacoustic Emissions (TEOAEs) were studied, with particular reference to their subject-dependent features. To this end, an electric model of the ear was implemented and validated. Simulated and natural TEOAEs were analyzed through a nonlinear analysis technique. The simulated signals were able to reproduce the dynamical features of the experimentally observed TEOAEs and, most importantly, the natural variability among individuals. The unexpected inverse relation between model complexity and adherence to the natural signals is commented.

关键词： Otoacustic Emissions Recurrence Quantification Analysis biosignals

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