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Selecting Power-Efficient Signal Features for a Low-Power Fall Detector.

, , , , , and . IEEE Trans. Biomed. Engineering, 64 (11): 2729-2736 (2017)

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Wearable pendant device monitoring using new wavelet-based methods shows daily life and laboratory gaits are different., , , , , , , , , and 1 other author(s). Med. Biol. Engineering and Computing, 54 (4): 663-674 (2016)Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls., , , and . Sensors, 19 (20): 4388 (2019)A Kinect and Inertial Sensor-Based System for the Self-Assessment of Fall Risk: A Home-Based Study in Older People., , , , and . Human-Computer Interaction, 31 (3-4): 261-293 (2016)Wavelet-Based Sit-To-Stand Detection and Assessment of Fall Risk in Older People Using a Wearable Pendant Device., , , , , and . IEEE Trans. Biomed. Engineering, 64 (7): 1602-1607 (2017)Gait as a biomarker? Accelerometers reveal that reduced movement quality while walking is associated with Parkinson's disease, ageing and fall risk., , , , , , , , , and 1 other author(s). EMBC, page 5968-5971. IEEE, (2014)Choice stepping reaction time test using exergame technology for fall risk assessment in older people., , , , , and . EMBC, page 6957-6960. IEEE, (2014)New Methods to Monitor Stair Ascents Using a Wearable Pendant Device Reveal How Behavior, Fear, and Frailty Influence Falls in Octogenarians., , , , , , , and . IEEE Trans. Biomed. Engineering, 62 (11): 2595-2601 (2015)Eight-Week Remote Monitoring Using a Freely Worn Device Reveals Unstable Gait Patterns in Older Fallers., , , , and . IEEE Trans. Biomed. Engineering, 62 (11): 2588-2594 (2015)Longitudinal Falls-Risk Estimation Using Triaxial Accelerometry., , , , , and . IEEE Trans. Biomed. Engineering, 57 (3): 534-541 (2010)A Low-Power Fall Detector Balancing Sensitivity and False Alarm Rate., , , , , and . IEEE J. Biomedical and Health Informatics, 22 (6): 1929-1937 (2018)