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Accelerometer sensors are ubiquitously available in consumer electronics such as smart phones and wearables. So far, mainly biomedical applications using accelerometers focus on providing contextual information like step counting, activity monitoring or motion artifact detection and suppression. Still, these sensors offer interesting opportunities for vital sign monitoring, even potentially for the...
Manual palpation is still the gold standard for assessment of pulse presence during cardiopulmonary resuscitation (CPR) for professional rescuers. However, this method is unreliable, time-consuming and subjective. Therefore, reliable, quick and objectified assessment of pulse presence in cardiac arrest situations to assist professional rescuers is still an unmet need. Accelerometers may present a...
Signal extraction methods are becoming increasingly popular due to lower computational demands and less restrictive requirements than source separation algorithms. Many existing signal extraction algorithms extract interesting signals based on some known features of the sources. However, immediate extraction of the desired signal is not guaranteed, leading to inefficient and ad hoc deflation techniques...
A single stage blind source extraction (BSE) approach to extract one desired source signal from an instantaneous mixture of several signals is studied in this paper. In contrast to methods based on blind source separation (BSS) followed by a classifier we extract directly the desired source signal. In recent papers it has been shown that prior information about the desired source's mixing column or...
Recently we have shown how a blind source extraction (BSE) algorithm can be equipped with some prior information about mixing parameters of the desired source in order to extract this source. The prior information, which may contain errors, is used to construct a matrix from linear combinations of correlation matrices. The extraction filter is easily obtained from the specific eigenstructure of this...
The emergence of wireless microphones in everyday life creates opportunities to exploit spatial diversity when using fixed microphone arrays combined with these wireless microphones. Traditional array signal processing (ASP) techniques are not suitable for such a scenario since the locations of the wireless sensors are unknown and probably vary over time. In this paper we investigate the use of blind...
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