scholarly journals Relationships between accelerometry and general compensatory movements of the upper limb after stroke

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Jessica Barth ◽  
Joeseph W. Klaesner ◽  
Catherine E. Lang
Keyword(s):  
Upper Limb ◽  
Daily Life ◽  
Secondary Analysis ◽  
Movement Patterns ◽  
Limb Movement ◽  
Standardized Assessments ◽  
Data Set ◽  
Compensatory Movement ◽  
Paretic Limb ◽  
Upper Limb Paresis

Abstract Background Standardized assessments are used in rehabilitation clinics after stroke to measure restoration versus compensatory movements of the upper limb. Accelerometry is an emerging tool that can bridge the gap between in- and out-of-clinic assessments of the upper limb, but is limited in that it currently does not capture the quality of a person’s movement, an important concept to assess compensation versus restoration. The purpose of this analysis was to characterize how accelerometer variables may reflect upper limb compensatory movement patterns after stroke. Methods This study was a secondary analysis of an existing data set from a Phase II, single-blind, randomized, parallel dose–response trial (NCT0114369). Sources of data utilized were: (1) a compensatory movement score derived from video analysis of the Action Research Arm Test (ARAT), and (2) calculated accelerometer variables quantifying time, magnitude and variability of upper limb movement from the same time point during study participation for both in-clinic and out-of-clinic recording periods. Results Participants had chronic upper limb paresis of mild to moderate severity. Compensatory movement scores varied across the sample, with a mean of 73.7 ± 33.6 and range from 11.5 to 188. Moderate correlations were observed between the compensatory movement score and each accelerometer variable. Accelerometer variables measured out-of-clinic had stronger relationships with compensatory movements, compared with accelerometer variables in-clinic. Variables quantifying time, magnitude, and variability of upper limb movement out-of-clinic had relationships to the compensatory movement score. Conclusions Accelerometry is a tool that, while measuring movement quantity, can also reflect the use of general compensatory movement patterns of the upper limb in persons with chronic stroke. Individuals who move their limbs more in daily life with respect to time and variability tend to move with less movement compensations and more typical movement patterns. Likewise, individuals who move their paretic limbs less and their non-paretic limb more in daily life tend to move with more movement compensations at all joints in the paretic limb and less typical movement patterns.

Repeatability of upper limb movement patterns in children with hemiplegic cerebral palsy

2009 ◽  
Vol 30 ◽  
pp. S55-S56
Author(s):  
Ellen Jaspers ◽  
Hilde Feys ◽  
Herman Bruyninckx ◽  
Jaap Harlaar ◽  
Andrea Giovanni Cutti ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Upper Limb ◽  
Movement Patterns ◽  
Limb Movement ◽  
Hemiplegic Cerebral Palsy

P96: Muscle weakness impacts negatively upper limb movement patterns in children with unilateral cerebral palsy

2017 ◽  
Vol 57 ◽  
pp. 333
Author(s):  
Cristina Simon-Martinez ◽  
Eirini Papageorgiou ◽  
Ellen Jaspers ◽  
Lisa Mailleux ◽  
Kaat Desloovere ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Muscle Weakness ◽  
Upper Limb ◽  
Movement Patterns ◽  
Limb Movement ◽  
Unilateral Cerebral Palsy

Influence of upper limb movement patterns on accelerometer measurements: a pediatric case series

2018 ◽  
Vol 39 (4) ◽  
pp. 04NT02
Author(s):  
Jessica Trac ◽  
Jaclyn Dawe ◽  
Jirapat Likitlersuang ◽  
Kristin Musselman ◽  
José Zariffa
Keyword(s):  
Upper Limb ◽  
Case Series ◽  
Movement Patterns ◽  
Limb Movement ◽  
Pediatric Case

scholarly journals Upper Limb Performance in Daily Life Approaches Plateau Around Three to Six Weeks Post-stroke

2021 ◽  
Vol 35 (10) ◽  
pp. 903-914
Author(s):  
Catherine E. Lang ◽  
Kimberly J. Waddell ◽  
Jessica Barth ◽  
Carey L. Holleran ◽  
Michael J Strube ◽  
...  
Keyword(s):  
Upper Limb ◽  
Depressive Symptomatology ◽  
Daily Life ◽  
Wearable Sensors ◽  
Similar Time ◽  
Post Stroke ◽  
Stable Pattern ◽  
Modifying Factors ◽  
Paretic Limb ◽  
And Performance

Background. Wearable sensors allow for direct measurement of upper limb (UL) performance in daily life. Objective. To map the trajectory of UL performance and its relationships to other factors post-stroke. Methods. Participants (n = 67) with first stroke and UL paresis were assessed at 2, 4, 6, 8, 12, 16, 20, and 24 weeks after stroke. Assessments captured UL impairment (Fugl-Meyer), capacity for activity (Action Research Arm Test), and performance of activity in daily life (accelerometer variables of use ratio and hours of paretic limb activity), along with other potential modifying factors. We modeled individual trajectories of change for each measurement level and the moderating effects on UL performance trajectories. Results. Individual trajectories were best fit with a 3-parameter logistic model, capturing the rapid growth early after stroke within the longer data collection period. Plateaus (90% of asymptote) in impairment (bootstrap mean ± SE: 32 ± 4 days post-stroke) preceded those in capacity (41 ± 4 days). Plateau in performance, as measured by the use ratio (24 ± 5 days), tended to precede plateaus in impairment and capacity. Plateau in performance, as measured by hours of paretic activity (41 ± 6 days), occurred at a similar time to that of capacity and slightly lagged impairment. Modifiers of performance trajectories were capacity, concordance, UL rehabilitation, depressive symptomatology, and cognition. Conclusions. Upper limb performance in daily life approached plateau 3 to 6 weeks post-stroke. Individuals with stroke started to achieve a stable pattern of UL use in daily life early, often before neurological impairments and functional capacity started to stabilize.

scholarly journals Power Spectral Density analysis of time series of pixel of functional magnetic resonance image for different motor activity

2019 ◽  
Vol 12 (3) ◽  
pp. 1193-1200
Author(s):  
Nivedita Daimiwal ◽  
Revati Shriram
Keyword(s):  
Time Series ◽  
Magnetic Resonance ◽  
Power Spectrum ◽  
Upper Limb ◽  
Lower Limb ◽  
Limb Movement ◽  
Functional Magnetic Resonance ◽  
Data Set ◽  
Power Spectral ◽  
The Brain

Functional Magnetic Resonance Imaging (fMRI) is a non invasive modality to detect structure and function of the brain. Brain functions for various activities like motor, sensory, speech and memory process are detected using fMRI modality. This paper deals with the analysis of power spectrum of pixel time series for different motor activities. The analysis is to relate the power magnitude of the spike in the power spectrum of the fMRI time series with the activity performed. The fMRI data set consists of a sequence of images with respect to time, when the subject performs a definite task in a given block paradigm. The data set consists of four slices each of size 64×64 pixels. The power spectrum is acquired by taking the Fourier transform of the time series. The shape of the power spectrum is often referred to as 1/f or the inverse frequency function. Low frequency noise is removed by applying discrete cosine transform on time series. Data was originally, collected from General Electric Signa 1.5 T MRI system for 5 male subjects; 3 subjects: Performed lower limb movement (LL) and 2 subjects: Performed upper limb movement (UL). The power magnitude of the spike is recorded for lower limb and upper limb movement. The spike in the power spectrum at f Hz corresponds to the frequency at which the task is performed. The power magnitude amplitude for lower limb activity is around 14.31 dB and upper limb is around 4.0 dB. Power spectral density (PSD) of the time series is used for the detection of activities occurring in the brain.

scholarly journals Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study

10.2196/17036 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e17036
Author(s):  
Nada Elizabeth June Signal ◽  
Ruth McLaren ◽  
Usman Rashid ◽  
Alain Vandal ◽  
Marcus King ◽  
...  
Keyword(s):  
Upper Limb ◽  
Secondary Analysis ◽  
Inpatient Rehabilitation ◽  
Wearable Devices ◽  
Limb Movement ◽  
Wearable Device ◽  
Trial Registration ◽  
Intention To Treat ◽  
Lost Productivity ◽  
Observation Period

Background As many as 80% of stroke survivors experience upper limb (UL) disability. The strong relationships between disability, lost productivity, and ongoing health care costs mean reducing disability after stroke is critical at both individual and society levels. Unfortunately, the amount of UL-focused rehabilitation received by people with stroke is extremely low. Activity monitoring and promotion using wearable devices offer a potential technology-based solution to address this gap. Commonly, wearable devices are used to deliver a haptic nudge to the wearer with the aim of promoting a particular behavior. However, little is known about the effectiveness of haptic nudging in promoting behaviors in patient populations. Objective This study aimed to estimate the effect of haptic nudging delivered via a wrist-worn wearable device on UL movement in people with UL disability following stroke undertaking inpatient rehabilitation. Methods A multiple-period randomized crossover design was used to measure the association of UL movement with the occurrence of haptic nudge reminders to move the affected UL in 20 people with stroke undertaking inpatient rehabilitation. UL movement was observed and classified using movement taxonomy across 72 one-minute observation periods from 7:00 AM to 7:00 PM on a single weekday. On 36 occasions, a haptic nudge to move the affected UL was provided just before the observation period. On the other 36 occasions, no haptic nudge was given. The timing of the haptic nudge was randomized across the observation period for each participant. Statistical analysis was performed using mixed logistic regression. The effect of a haptic nudge was evaluated from the intention-to-treat dataset as the ratio of the odds of affected UL movement during the observation period following a “Planned Nudge” to the odds of affected limb movement during the observation period following “No Nudge.” Results The primary intention-to-treat analysis showed the odds ratio (OR) of affected UL movement following a haptic nudge was 1.44 (95% CI 1.28-1.63, P<.001). The secondary analysis revealed an increased odds of affected UL movement following a Planned Nudge was predominantly due to increased odds of spontaneous affected UL movement (OR 2.03, 95% CI 1.65-2.51, P<.001) rather than affected UL movement in conjunction with unaffected UL movement (OR 1.13, 95% CI 0.99-1.29, P=.07). Conclusions Haptic nudging delivered via a wrist-worn wearable device increases affected UL movement in people with UL disability following stroke undertaking inpatient rehabilitation. The promoted movement appears to be specific to the instructions given. Trial Registration Australia New Zealand Clinical Trials Registry 12616000654459; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370687&isReview=true

scholarly journals Haptic Nudges Increase Affected Upper Limb Movement During Inpatient Stroke Rehabilitation: Multiple-Period Randomized Crossover Study (Preprint)

2019 ◽  
Author(s):  
Nada Elizabeth June Signal ◽  
Ruth McLaren ◽  
Usman Rashid ◽  
Alain Vandal ◽  
Marcus King ◽  
...  
Keyword(s):  
Upper Limb ◽  
Secondary Analysis ◽  
Inpatient Rehabilitation ◽  
Wearable Devices ◽  
Limb Movement ◽  
Wearable Device ◽  
Intention To Treat ◽  
Lost Productivity ◽  
Clinical Trials Registry ◽  
Observation Period

BACKGROUND As many as 80% of stroke survivors experience upper limb (UL) disability. The strong relationships between disability, lost productivity, and ongoing health care costs mean reducing disability after stroke is critical at both individual and society levels. Unfortunately, the amount of UL-focused rehabilitation received by people with stroke is extremely low. Activity monitoring and promotion using wearable devices offer a potential technology-based solution to address this gap. Commonly, wearable devices are used to deliver a haptic nudge to the wearer with the aim of promoting a particular behavior. However, little is known about the effectiveness of haptic nudging in promoting behaviors in patient populations. OBJECTIVE This study aimed to estimate the effect of haptic nudging delivered via a wrist-worn wearable device on UL movement in people with UL disability following stroke undertaking inpatient rehabilitation. METHODS A multiple-period randomized crossover design was used to measure the association of UL movement with the occurrence of haptic nudge reminders to move the affected UL in 20 people with stroke undertaking inpatient rehabilitation. UL movement was observed and classified using movement taxonomy across 72 one-minute observation periods from 7:00 AM to 7:00 PM on a single weekday. On 36 occasions, a haptic nudge to move the affected UL was provided just before the observation period. On the other 36 occasions, no haptic nudge was given. The timing of the haptic nudge was randomized across the observation period for each participant. Statistical analysis was performed using mixed logistic regression. The effect of a haptic nudge was evaluated from the intention-to-treat dataset as the ratio of the odds of affected UL movement during the observation period following a “Planned Nudge” to the odds of affected limb movement during the observation period following “No Nudge.” RESULTS The primary intention-to-treat analysis showed the odds ratio (OR) of affected UL movement following a haptic nudge was 1.44 (95% CI 1.28-1.63, <i>P</i>&lt;.001). The secondary analysis revealed an increased odds of affected UL movement following a Planned Nudge was predominantly due to increased odds of spontaneous affected UL movement (OR 2.03, 95% CI 1.65-2.51, <i>P</i>&lt;.001) rather than affected UL movement in conjunction with unaffected UL movement (OR 1.13, 95% CI 0.99-1.29, <i>P</i>=.07). CONCLUSIONS Haptic nudging delivered via a wrist-worn wearable device increases affected UL movement in people with UL disability following stroke undertaking inpatient rehabilitation. The promoted movement appears to be specific to the instructions given. CLINICALTRIAL Australia New Zealand Clinical Trials Registry 12616000654459; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=370687&amp;isReview=true

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