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Full-Text Articles in Rehabilitation and Therapy
Revealing The Optimal Thresholds For Movement Performance: A Systematic Review And Meta-Analysis To Benchmark Pathological Walking Behaviour, Deepak K. Ravi, Michelle Gwerder, Niklas König Ignasiak, Christian R. Baumann, Mechtild Uhl, Jaap H. Dieën, William R. Taylor, Navrag B. Singh
Revealing The Optimal Thresholds For Movement Performance: A Systematic Review And Meta-Analysis To Benchmark Pathological Walking Behaviour, Deepak K. Ravi, Michelle Gwerder, Niklas König Ignasiak, Christian R. Baumann, Mechtild Uhl, Jaap H. Dieën, William R. Taylor, Navrag B. Singh
Physical Therapy Faculty Articles and Research
In order to address whether increased levels of movement output variability indicate pathological performance, we systematically reviewed and synthesized meta-analysis data on healthy and pathological motor behavior. After screening up to 24’000 reports from four databases, 85 studies were included containing 2409 patients and 2523 healthy asymptomatic controls. The optimal thresholds of variability with uncertainty boundaries (in % Coefficient of Variation ± Standard Error) were estimated in 7 parameters: stride time (2.34 ± 0.21), stride length (2.99 ± 0.37), step length (3.34 ± 0.84), swing time (2.94 ± 0.60), step time (3.35 ± 0.23), step width (15.87 ± 1.86), …
Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan
Wavelet-Based Analysis Of Physical Activity And Sleep Movement Data From Wearable Sensors Among Obese Adults, Rahul Soangra, Vennila Krishnan
Physical Therapy Faculty Articles and Research
Decreased physical activity in obese individuals is associated with a prevalence of cardiovascular and metabolic disorders. Physicians usually recommend that obese individuals change their lifestyle, specifically changes in diet, exercise, and other physical activities for obesity management. Therefore, understanding physical activity and sleep behavior is an essential aspect of obesity management. With innovations in mobile and electronic health care technologies, wearable inertial sensors have been used extensively over the past decade for monitoring human activities. Despite significant progress with the wearable inertial sensing technology, there is a knowledge gap among researchers regarding how to analyze longitudinal multi-day inertial sensor data …