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 .
Prediction of Upper Limb Recovery, General Disability, and Rehabilitation Status by Activity Measurements Assessed by Accelerometers or the Fugl-Meyer Score in Acute Stroke
Objective This study investigated the clinical predictive value of the Fugl-Meyer Assessment ( FMA ) arm score and the upper limb activity assessed by accelerometers in patients with hemiparesis after acute stroke . Design The prospect i ve cohort ( n = 129 ) was recruited from a general hospital ; activity variables and FMA score at intake were related to the FMA , the modified Rankin Scale , and rehabilitation status after 3 mos of follow-up . The prediction model was based on binary logistic regression . Results Although the FMA score at intake has the best overall predictive value for all three outcome measures ( FMA3 , 87.6 % ; modified Rankin Scale , 85.3 % ; RS , 73.6 % ) , the activity of the impaired arm as assessed by the accelerometer has the best predictive value to determine patients who are at risk for continued disability ( modified Rankin Scale score 1 , 95.1 % ) . The most difficult outcome measure for prediction is the rehabilitation status ; specifically , the patients who went home are predicted imprecisely . The ratio variable is the least accurate predictor of all tested variables . Conclusions The  FMA arm score at intake is the best predictor for arm recovery and general disability . The activity of the impaired arm is an excellent predictor for prolonged disability and is an alternative to the FMA score when it is impossible to score the FMA in the acute phase of stroke
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 .