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The field of fall risk testing using wearable sensors is bustling with activity. In this Letter, the authors review publications which incorporated features extracted from sensor signals into statistical models intended to estimate fall risk or predict falls in older people. A review of these studies raises concerns that this body of literature is presenting over-optimistic results in light of small...
We propose a system architecture for unsupervised telehealth applications in which routine, remote monitoring of patient clinical measurements are performed. It is argued that biosignal quality detection is a fundamental process that must be adapted from existing supervised recording environments and added to telehealth architectures in order for such systems to provide usable longitudinal records...
The objectives of this paper are to present a guideline-based decision support system (GBDSS) design for supporting patient telehealth management of chronic disease and to test its performance in correctly making referral recommendations using routinely recorded measurement data from home telehealth recordings. The GBDSS has been developed to manage lung disease patients in a home telehealth environment...
Indoor localization and asset tracking is an area of research which is finding increasing application in monitoring the wellbeing of elderly subjects in hospital or residential care environments. Radio frequency (RF) based localization methods tend to show poor performance in indoor environments, due to multipath scatter, and simple room-level misassociations, resulting from the relative transparency...
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