Novel sensing technology in fall risk assessment in older adults: a systematic review

[21] Rantz M(2012)Evaluation of falls risk in community-dwelling older adults using body-worn sensors Gerontology 58 472-174

[22] Skubic M(2012)Quantitative falls risk estimation through multi-sensor assessment of standing balance Physiol Meas 33 2049-3495

[23] Abbott C(2012)Can falls be predicted with gait analytical and posturographic measurement systems? A prospective follow-up study in a nursing home population Clin Rehabil 27 183-1121

[24] Galambos C(2012)Accelerometry-based gait analysis, an additional objective approach to screen subjects at risk for falling Gait Posture 36 296-484

[25] Popescu M(2013)Falls classification using tri-axial accelerometers during the five-times-sit-to-stand test Gait Posture 38 1021-1820

[26] Keller J(2013)The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study J Neuroeng Rehabil 10 7-372

[27] Stone E(2013)A novel infrared laser device that measures multilateral parameters of stepping performance for assessment of all risk in elderly individuals Aging Clin Exp Res 25 311-2018

[28] Back J(2013)Estimating fall risk with inertial sensors using gait stability measures that do not require step detection Gait Posture 38 170-255

[29] Miller SJ(2014)Automatic measurement of physical mobility in get-up-and-go test using Kinect sensor Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference 2014 3492-616

[30] Petroski GF(2014)Accelerometry-based berg balance scale score estimation Ieee Journal of Biomedical and Health Informatics 18 1114-289

[21] Rantz M(2012)Evaluation of falls risk in community-dwelling older adults using body-worn sensors Gerontology 58 472-174

[22] Skubic M(2012)Quantitative falls risk estimation through multi-sensor assessment of standing balance Physiol Meas 33 2049-3495

[23] Abbott C(2012)Can falls be predicted with gait analytical and posturographic measurement systems? A prospective follow-up study in a nursing home population Clin Rehabil 27 183-1121

[24] Galambos C(2012)Accelerometry-based gait analysis, an additional objective approach to screen subjects at risk for falling Gait Posture 36 296-484

[25] Popescu M(2013)Falls classification using tri-axial accelerometers during the five-times-sit-to-stand test Gait Posture 38 1021-1820

[26] Keller J(2013)The harmonic ratio of trunk acceleration predicts falling among older people: results of a 1-year prospective study J Neuroeng Rehabil 10 7-372

[27] Stone E(2013)A novel infrared laser device that measures multilateral parameters of stepping performance for assessment of all risk in elderly individuals Aging Clin Exp Res 25 311-2018

[28] Back J(2013)Estimating fall risk with inertial sensors using gait stability measures that do not require step detection Gait Posture 38 170-255

[29] Miller SJ(2014)Automatic measurement of physical mobility in get-up-and-go test using Kinect sensor Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual Conference 2014 3492-616

[30] Petroski GF(2014)Accelerometry-based berg balance scale score estimation Ieee Journal of Biomedical and Health Informatics 18 1114-289