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Body Area Networks (BANs) are widely used mainly for healthcare and fitness purposes. In both cases, the lifetime of sensor nodes included in the BAN is a key aspect that may affect the functionality of the whole system. Typical approaches to power management are based on a trade-off between the data rate and the monitoring time. Our work introduces a power(More)
In this paper, a system for gait training and rehabilitation for Parkinson's disease (PD) patients in a daily life setting is presented. It is based on a wearable architecture aimed at the provision of real-time auditory feedback. Recent studies have, in fact, shown that PD patients can receive benefit from a motor therapy based on auditory cueing and(More)
Parkinson's disease (PD) is a degenerative neurological disorder, associated with movement impairments. Recent studies have shown that auxiliary cueing in the form of video, audio, or haptic feedback can improve the gait performance in PD patients. We have developed a new platform to support gait rehabilitation in PD patients based on a wearable system able(More)
Wireless Body Area Networks (WBAN) present a variety of Power Management challenges ranging from radio protocols, to node components. In this work we focus on optimal exploitation of low power operating points in micro-controller-based sensor nodes under sensor sampling frequency constraints. We introduce general techniques to link the selection of optimal(More)
Wearable devices offer interesting features, such as low cost and user friendliness, but their use for medical applications is an open research topic, given the limited hardware resources they provide. In this paper, we present an embedded solution for real-time EMG-based hand gesture recognition. The work focuses on the multi-level design of the system,(More)
Wireless Body Area Networks (WBANs) can take advantage of many wireless protocols. Among them, Bluetooth is a good candidate since its widespread adoption guarantees compatibility with a number of devices and significantly reduces development time. In most cases data collected from different sensors on different nodes need to be synchronized. We present a(More)
Wearable systems capable to capture vital signs allow the development of advanced medical applications. One notable example is the use of surface electromyography (EMG) to gather muscle activation potentials, in principle an easy input for prosthesis control. However, the acquisition of such signals is affected by high variability and ground loop problems.(More)
Wireless body area networks (WBANs) have the huge potential to enhance people's lives. They are already present in many application domains, for instance sport and fitness, but they are wide spreading in particular in health and rehabilitation. However, there are still challenging issues that limit their wide diffusion in real life: primarily, the limited(More)
Handwriting analysis and rehabilitation is an actively explored area in the diagnosis and treatment of Parkinson's disease, which is usually performed in an ambulatory setting under direct supervision of a clinician. Technology can play an important role to reduce the need of therapist assistance and to enhance diagnostic precision through the computation(More)
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