Physical activity levels measured by remote monitoring are consistently low in people with MS , stroke and dementia , and patterns of physical activity are altered in PD .
In MS , decreased ambulatory activity assessed via remote monitoring is associated with greater disability and lower quality of life .
In stroke , remote measures of upper limb function and ambulation are associated with functional recovery following rehabilitation and goal -directed interventions .
In PD , remote monitoring may help to predict falls .
In dementia , remote physical activity measures correlate with disease severity and can detect w and ering .
Conclusions These studies show that remote physical activity monitoring is feasible in neurological diseases , including in people with moderate to severe neurological disability .
Remote monitoring can be a psychometrically sound and responsive way to assess physical activity in neurological disease .
Objective To perform a systematic review of studies using remote physical activity monitoring in neurological diseases , highlighting advances and determining gaps .
Progressive Adaptive Physical Activity in Stroke Improves Balance, Gait, and Fitness: Preliminary Results
Abstract Purpose : We conducted a noncontrolled pilot intervention study in stroke survivors to examine the efficacy of lowintensity adaptive physical activity to increase balance , improve walking function , and increase cardiovascular fitness and to determine whether improvements were carried over into activity profiles in home and community . Method : Adaptive physical activity sessions were conducted 3 times/week for 6 months . The main outcomes were Berg Balance Scale , Dynamic Gait Index , 6-Minute Walk Test , cardiovascular fitness ( VO2 peak ) , Falls Efficacy Scale , and 5-day Step Activity Monitoring . Results : Seven men and women with chronic ischemic stroke completed the 6-month intervention . The mean Berg Balance baseline score increased from 33.9 ± 8.5 to 46 ± 6.7 at 6 months ( mean ± SD ; p = .006 ) . Dynamic Gait Index increased from 13.7 ± 3.0 to 19.0 ± 3.5 ( p = .01 ) . Six-minute walk distance increased from 840 ± 110 feet to 935 ± 101 feet ( p = 0.02 ) . VO2 peak increased from 15.3 ± 4.1 mL/kg/min to 17.5 ± 4.7 mL/kg/min ( p = .03 ) . There were no significant changes in falls efficacy or free-living ambulatory activity . Conclusion : A structured adaptive physical activity  produces improvements in balance , gait , fitness , and ambulatory performance but not in falls efficacy or free-living daily step activity . R and omized studies are needed to determine the cardiovascular health and functional benefits of structured group physical activity programs and to develop behavioral interventions that promote increased free-living physical activity patterns
Physical activity levels measured by remote monitoring are consistently low in people with MS , stroke and dementia , and patterns of physical activity are altered in PD .
In MS , decreased ambulatory activity assessed via remote monitoring is associated with greater disability and lower quality of life .
In stroke , remote measures of upper limb function and ambulation are associated with functional recovery following rehabilitation and goal -directed interventions .
In PD , remote monitoring may help to predict falls .
In dementia , remote physical activity measures correlate with disease severity and can detect w and ering .
Conclusions These studies show that remote physical activity monitoring is feasible in neurological diseases , including in people with moderate to severe neurological disability .
Remote monitoring can be a psychometrically sound and responsive way to assess physical activity in neurological disease .
Objective To perform a systematic review of studies using remote physical activity monitoring in neurological diseases , highlighting advances and determining gaps .