Search Results - "Bourke, A.K."
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Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems
Published in Medical engineering & physics (01-06-2014)“…Abstract Physical activity has a positive impact on people's well-being and it had been shown to decrease the occurrence of chronic diseases in the older adult…”
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Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm
Published in Gait & posture (01-07-2007)“…Abstract Using simulated falls performed under supervised conditions and activities of daily living (ADL) performed by elderly subjects, the ability to…”
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A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor
Published in Medical engineering & physics (01-01-2008)“…Abstract A threshold-based algorithm, to distinguish between Activities of Daily Living (ADL) and falls is described. A gyroscope based fall-detection sensor…”
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Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activities
Published in Journal of biomechanics (16-11-2010)“…Abstract It is estimated that by 2050 more than one in five people will be aged 65 or over. In this age group, falls are one of the most serious…”
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A proposal for the classification and evaluation of fall detectors
Published in Ingénierie et recherche biomédicale (01-12-2008)“…Abstract Falls affect, each year, tens of million of elderly people throughout the world. It can have immediate lethal consequences but also causes many…”
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The identification of vertical velocity profiles using an inertial sensor to investigate pre-impact detection of falls
Published in Medical engineering & physics (01-09-2008)“…Abstract This study investigates distinguishing falls from normal Activities of Daily Living (ADL) by thresholding of the vertical velocity of the trunk. Also…”
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Activity classification using a single chest mounted tri-axial accelerometer
Published in Medical engineering & physics (01-11-2011)“…Abstract Accelerometer-based activity monitoring sensors have become the most suitable means for objective assessment of mobility trends within patient study…”
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Suitability of commercial barometric pressure sensors to distinguish sitting and standing activities for wearable monitoring
Published in Medical engineering & physics (01-06-2014)“…Abstract Despite its medical relevance, accurate recognition of sedentary (sitting and lying) and dynamic activities (e.g. standing and walking) remains…”
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VALIDITY AND RELIABILITY OF A BODY-WORN BIOMECHANICAL SENSOR PLATFORM FOR GAIT ANALYSIS
Published in Osteoarthritis and cartilage (01-04-2022)Get full text
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Fall detection - Principles and Methods
Published in 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (01-01-2007)“…Fall detection of the elderly is a major public health problem. Thus it has generated a wide range of applied research and prompted the development of…”
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Conference Proceeding Journal Article -
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Distinguishing falls from normal ADL using vertical velocity profiles
Published in 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (01-01-2007)“…This paper describes a technique for distinguishing falls from activities of daily living (ADL) through vertical velocity thresholding (VVT). To verify that…”
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Conference Proceeding Journal Article -
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Design and test of a long-term fall detection system incorporated into a custom vest for the elderly
Published in IET Irish Signals and Systems Conference (ISSC 2008) (2008)“…Falls in the elderly are a major problem for society. A serious consequence of falling is the "long-lie". A fall detection system and algorithm, incorporated…”
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Conference Proceeding -
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A wireless platform for fall and mobility monitoring
Published in IET Irish Signals and Systems Conference (ISSC 2008) (2008)“…This paper describes the design and development of a wireless sensor for fall and mobility monitoring. The sensor, which was made as part of a European project…”
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Conference Proceeding -
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Applications of waist segment kinematic measurement using accelerometry for an autonomous fall-detection system during continuous activities
Published in IET Irish Signals and Systems Conference (ISSC 2010) (2010)“…Through the measurement and thresholding of different kinematic and angular signals, from the waist using accelerometry, distinguishing between simulated falls…”
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Conference Proceeding