1,721,026 research outputs found
Synchronization methods for Bluetooth based WBANs
No full textWireless 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 synchronization protocol that makes use of Bluetooth piconet internal clock to achieve near-millisecond accuracy with minimal radio communication overhead. Experimental results show that Bluetooth low power modes does not affect negatively accuracy, but improves it, obtaining less power consumption and higher synchronization accuracy
Context aware power management for motion-sensing body area network nodes
No full textBody 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 management layer capable to opportunistically use data sampled by sensors to detect contextual information such as user activity and adapt the node operating point accordingly. The use of this layer has been demonstrated on a commercial sensor node, increasing its battery lifetime up to a factor of 5
Power saving policies for multipurpose WBAN
No full textWireless 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 operating points, and operating point transitions, to application-specific requirements. We then demonstrate the application of the general techniques on a real-life use case. Experimental results show that the general techniques are applicable in practice, even though significant case-specific tuning is required
Monitoraggio di pesticidi clorurati in campioni di mangimi mediante GC/ECD tandem
No full textPubblicato on-line dalla SISVE
Paper, pen and ink: an innovative system and software framework to assist writing rehabilitation
No full textHandwriting 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 of non-subjective handwriting quality metrics. This paper introduces an innovative handwriting rehabilitation system for PD patients, which ensures a natural writing experience as it is based on pen, ink and paper (as opposed to tablet and stylus). The system is designed for human-in-the loop operation and it can analyze handwriting in real-time and provide vocal feedback to guide the patient during the execution of exercises. We present a detailed comparative characterization of the key components of the system, namely wireless digital pens; in addition, in-field test assessed the system usability regarding its ease of use, calibration precision and vocal feedback effectiveness
Wearable Audio-feedback System for Gait Rehabilitation in Subjects with Parkinson's Disease
No full textParkinson'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 to produce real-time feedback to the user in a comfortable and effective way. Using a set of custom wearable inertial sensors, with advanced on-board processing capabilities, our application employs a smartphone to analyze in real time the patient's gait and to return an appropriate real time audio bio-feedback (ABF) message to the user to correct and improve gait performance. The main advantages of the system are mobility and unobtrusiveness: it can be comfortably worn and carried by the patient with no range restrictions, giving the possibility to monitor and rehabilitate the patient in real-life scenarios, both indoors and outdoors
- …
