Quantitative Assessment of Balance Impairment for Fall-Risk Estimation Using Wearable Triaxial Accelerometer

Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis

“…Shazad et al [60] 2017 Provide an objective, cost-effective method to obtain balance and mobility based fall-risk in older adults.…”

“…Another way to avoid setting thresholds is by using machine learning techniques. By using these techniques, the algorithms are trained to learn the most optimal threshold for a specific problem or measurement [51,[60][61][62]66,70,85].…”

“…Step length and stride length has been used in the literature to compare the variability pre-and post-training as well as the variability between healthy subjects and subjects with a particular neurological disorder [25,[35][36][37]43,44,50,60,62,65,70].…”

“…Walking speed is considered the "sixth vital sign" for its capabilities, reliability, and sensitivity that it can measure to assess and monitor overall health [111,112]. These led researchers to use walking speed to provide bio-feedback training, assess fall-risk and server as an indicator of a neurological disorder [28,43,49,60,61,65].…”

“…They are often used to evaluate performance of the wearable sensors systems. For example, researchers used wearable sensors to measure subject's balance as they were performing the BBS [60]. Another study determined a smartphone could measure static postural stability and distinguish elderly at risk to fall, and they validated the performance of the smart device using a force platform [68].…”