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 .
Capturing Ambulatory Activity Decline in Parkinson's Disease
Background and Purpose : Relatively little is known about the natural evolution of physical activity – related participation restrictions associated with Parkinson 's disease ( PD ) . We examined this issue prospect ively , using continuous monitoring technology to capture the free-living ambulatory activity of persons with PD engaging in life situations . We specifically sought ( 1 ) to explore natural , long-term changes in daily ambulatory activity and ( 2 ) to compare the responsiveness of ambulatory activity parameters to clinical measures of gait and disease severity . Methods : Thirty-three persons with PD participated ( Hoehn and Yahr range of 1–3 ) . Participants wore a step activity monitor for up to 7 days at baseline and again at 1-year follow-up . Mean daily values were calculated for parameters indicative of amount , intensity , frequency , and duration of ambulatory activity . Clinical measures included the Unified Parkinson Disease Rating Scale , the 6-Minute Walk , and Maximal Gait Speed . Parametric tests for paired sample s were used to investigate changes in ambulatory activity parameters and clinical measures . Results : Participants had significant declines in the amount and intensity of daily ambulatory activity but not in its frequency and duration ( P < 0.007 ) . Declines occurred in the absence of changes in clinical measures of gait or disease severity . The greatest 1-year decline occurred in the number of daily minutes participants spent engaging in at least moderate-intensity ambulatory activity . Conclusion : Continuous monitoring of ambulatory activity beyond mere step counts may serve as a distinct and important means of quantifying declining ambulatory behavior associated with disease progression or improved ambulatory behavior result ing from rehabilitation and medical and /or surgical interventions in persons with PD
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 .