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 .
Validity of accelerometry for monitoring real-world arm activity in patients with subacute stroke: evidence from the extremity constraint-induced therapy evaluation trial.
OBJECTIVE To examine the psychometric properties of an objective method for assessing real-world arm activity in a large sample with subacute stroke . DESIGN Validation study . SETTING Community . PARTICIPANTS Persons 3 to 9 months poststroke ( N=169 ) with mild to moderate motor impairment of their hemiparetic arm enrolled in a multisite , r and omized clinical trial of constraint-induced movement therapy .  INTERVENTIONS Not applicable . MAIN OUTCOME MEASURES Participants wore an accelerometer on each arm outside the laboratory for 3 days before and after treatment or an equivalent no-treatment period . They also completed the Actual Amount of Use Test ( AAUT ) , which is an observational measure of spontaneous more-impaired arm use , and the Motor Activity Log ( MAL ) , which is an interview assessing more-impaired arm use in daily life . RESULTS Low-pass-filtered accelerometer recordings were reliable ( r range , > .8 ) and stable ( P range , > .48 ) . Their validity was also supported . Correlations calculated across all participants at baseline between the ratio of more-impaired to less-impaired arm accelerometer recordings and AAUT and MAL scores were .60 and .52 , respectively . CONCLUSIONS Accelerometry provides an objective , real-world index of more-impaired arm activity with good psychometric properties
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 .