Use of Actigraphy in Neurological Patient Populations

Deak, Maryann C.

doi:10.7191/neurol_bull.2009.1004

Cited by 4 publications

(4 citation statements)

References 29 publications

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“…A more practical and low-cost solution for gait analysis is ambulatory actigraphy which consists of a piezoelectric accelerometer designed to record body movements. Actigraphy has previously been used in the assessment of various disorders including sleep–wake disorders, hyperactivity disorders, and dementia [ 22 – 24 , 26 – 28 ]. The present study aims at exploring the relation between gait parameters, measured by means of ambulatory actigraphy during a single and dual task, and cognitive impairment in order to obtain more insights into the utility of such a paradigm as an additional indicator for the diagnosis of MCI and early AD.…”

Section: Introductionmentioning

confidence: 99%

Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm

et al. 2017

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ObjectivesThe present study explores the differences in gait parameters in elderly subjects with or without cognitive impairment measured by means of ambulatory actigraphy while performing a single and a dual task.MethodsSixty-nine participants of which 23 individuals were diagnosed with Alzheimer’s disease (AD), 24 individuals with mild cognitive impairment (MCI), and 22 healthy controls performed a single and dual walking task while wearing a wrist-worn accelerometer. Objective measures of gait features such as walking speed, cadence (i.e., number of steps per minute), and step variance (i.e., variance in time between two consecutive steps) were derived and analyzed.ResultsWhile differences in several gait parameters, namely walking speed, were found between MCI and AD patients, no differences between healthy elderly and MCI patients were found.ConclusionWalking speed seems to be a gait-related feature that differs significantly between MCI and AD patients and thus could be used as an additional measurement in clinical assessment. However, differences in gait may not be salient enough in the early stages of dementia to be detected by actigraphy. More research comparing different methods to measure gait in early stages of dementia under different dual task conditions is neccessary.

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Section: Introductionmentioning

confidence: 99%

Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm

et al. 2017

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“…Conventional analysis techniques involve estimates of sleep/wake status based on the activity data to calculate sleep endpoints such as total sleep time and sleep efficiency (Cole et al 1992). This approach has been useful in many clinical trials (Korszun et al 2002, Deak 2009, Agarwal and Light 2010, Fung et al 2012. However, a more objective and mathematical approach to the analysis of the data may be able to overcome the limitations of these conventional endpoints and analysis methods and increase the ability of actigraphy to help define the physical aspects of diseases (Peterson et al 2012).…”

Section: Introductionmentioning

confidence: 99%

A novel actigraphy data analysis tool and its application to identifying the optimal threshold value in three subject populations

Peterson

Anderer²,

Moreau³

et al. 2016

Physiol. Meas.

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Most actigraphy devices use different analysis methods and a non-standardized threshold value to estimate sleep/wake status and identify rest intervals. To address limitations of these approaches, a new algorithm was developed that makes no assumptions about sleep/wake status, objectively selects an optimal threshold for different populations, and provides mathematical endpoints to more fully describe the activity patterns of subjects. The optimal threshold (cts min−1) is defined as the value that maximizes the duration of the rest period while minimizing the inclusion of epochs from the active period. This value is identified as the beginning of a plateau region of a rest duration versus threshold value graph. Application of this new algorithm to data from 56 healthy adults, 6 healthy children, and 14 children with autism spectrum disorder (ASD) showed that the three groups had different optimal threshold values (35, 40, and 45 cts min−1 for adults, children and ASD respectively). The rest periods of healthy children was longer than that of adults (8.5 ± 0.5 versus 6.3 ± 0.9 h, p < 0.001). Healthy children also had less activity during the rest periods than adults (10.5 ± 1.8 versus 15.1 ± 11.8 cts min−1) and ASD children (12.0 ± 2.2 cts min−1) but these differences were not statistically significant. However, the distributions of their activity values during rest periods as measured by skewness and kurtosis were significantly greater than that of healthy adults (skewness: 7.3 ± 0.9 versus 6.2 ± 0.9, p < 0.01, kurtosis: 83.3 ± 16.5 versus 52.8 ± 14.4, p < 0.001) and of ASD children (skewness: 6.4 ± 0.6. p < 0.05, kurtosis: 57.7 ± 12.8, p < 0.001). These findings are consistent with more restful sleep patterns which would have mostly low levels of activity with few large values. The new analysis tool may be helpful in standardizing actigraphy data analyses while providing new insights into activity patterns.

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“…The current study is an ancillary research to the 'Sweet-HOME project', specifically aimed at evaluating actigraphic measurements collected during IADLs' assessment, motor task performance, and a free scenario phase. Ambulatory actigraphy, consisting of a piezoelectric accelerometer designed to record body locomotor activity, has been previously used to evaluate various disorders including sleep-wake disorders, hyperactivity disorders, and dementia [8][9][10]. Recent studies have shown that daytime motor activity is reduced in AD patients compared to healthy controls [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Actigraphic Motor Activity in Mild Cognitive Impairment Patients Carrying Out Short Functional Activity Tasks: Comparison between Mild Cognitive Impairment with and without Depressive Symptoms

Yakhia

König

Flier

et al. 2014

JAD

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Use of Actigraphy in Neurological Patient Populations

Cited by 4 publications

References 29 publications

Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm

Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm

A novel actigraphy data analysis tool and its application to identifying the optimal threshold value in three subject populations

Actigraphic Motor Activity in Mild Cognitive Impairment Patients Carrying Out Short Functional Activity Tasks: Comparison between Mild Cognitive Impairment with and without Depressive Symptoms

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