Abstract
Kholood Matouq Shalabi, Hayam Mahmoud, Shahul Hameed Pakkir Mohamed, Shaffi Ahmed Shaik
Abstract
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10.1001/jama.2024.5160
10.1001/jama.2024.5160 · 2024
10.3389/978-2-83250-332-4
10.3389/978-2-83250-332-4 · 2022
Assessment tools for the admission of older adults to inpatient rehabilitation: a scoping review
10.3390/jcm12030919 · 2023
Integrating motor variability evaluation into movement system assessment
10.1093/ptj/pzad075 · 2023
Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances
10.1016/j.pmrj.2018.06.013 · 2018
Quantification of movement in stroke patients under free living conditions using wearable sensors: a systematic review
10.3390/s22031050 · 2022
Use of commercially available wearable devices for physical rehabilitation in healthcare: a systematic review
10.1136/bmjopen-2024-084086 · 2024
Reliability and discriminative validity of wearable sensors for the quantification of upper limb movement disorders in individuals with Dyskinetic cerebral palsy
10.3390/s23031574 · 2023
Multi-sensor assessment of dynamic balance during gait in patients with subacute stroke
10.1016/j.jbiomech.2017.07.034 · 2017
Inertial sensor measurements of upper-limb kinematics in stroke patients in clinic and home environment
10.3389/fbioe.2018.00027 · 2018
Using wearable inertial sensors to estimate clinical scores of upper limb movement quality in stroke
10.3389/fphys.2022.877563 · 2022
An integrated multi-sensor approach for the remote monitoring of Parkinson's disease
10.3390/s19214764 · 2019
Daily-living freezing of gait as quantified using wearables in people with Parkinson disease: comparison with self-report and provocation tests
10.1093/ptj/pzac129 · 2022
Identifying falls remotely in people with multiple sclerosis
10.1007/s00415-021-10743-y · 2022
Feasibility and sensitivity of wearable sensors for daily activity monitoring in spinal cord injury trials
10.1177/15459683251352556 · 2025
Multidimensional measures of physical activity and their association with gross motor capacity in children and adolescents with cerebral palsy
10.3390/s20205861 · 2020
Exploration of human activity recognition using a single sensor for stroke survivors and able-bodied people
10.3390/s21030799 · 2021
Postural sway measurement using a body-worn movement sensor in clinical stroke rehabilitation: exploring sensitivity to change and responsiveness
10.1093/ptj/pzaf021 · 2025
Wearable devices for gait and posture monitoring via telemedicine in people with movement disorders and multiple sclerosis: a systematic review
10.1080/17434440.2023.2298342 · 2024
Activity monitors for increasing physical activity in adult stroke survivors
10.1002/14651858.cd012543 · 2018
Assessment of movement disorders using wearable sensors during upper limb tasks: a scoping review
10.3389/frobt.2022.1068413 · 2022
Scoping studies: towards a methodological framework
10.1080/1364557032000119616 · 2005
Scoping studies: advancing the methodology
10.1186/1748-5908-5-69 · 2010
PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation
10.7326/m18-0850 · 2018
Reliability and validity of a wearable sensing system and online gait analysis report in persons after stroke
10.3390/s23020624 · 2023
Using sensor technology to measure gait capacity and gait performance in rehabilitation inpatients with neurological disorders
10.3390/s22218387 · 2022
Concurrent validity of walking speed measured by a wearable sensor and a stopwatch during the 10-meter walk test in individuals with stroke
10.1016/j.gaitpost.2023.09.012 · 2023
Validity and reliability of sensor system to measure trunk range of motion during streamlined Wolf Motor function test in chronic stroke and aged-matched healthy participants
10.1080/10749357.2022.2127665 · 2023
Advancing balance assessment in stroke rehabilitation: a comparative exploration of sensor-based and conventional balance tests
10.3390/s26041308 · 2026
The added value of sensor-based tests in explaining the variance in walking and ADL independency after stroke: an exploratory study
10.1177/02692155251362742 · 2025
Sensor-based assessment of post-stroke shoulder pain and balance
10.3390/s25247665 · 2025
Enhancing safety monitoring in post-stroke rehabilitation through wearable technologies
10.1177/02692155241309083 · 2025
Sensor based assessment of turning during instrumented timed up and go test for quantifying mobility in chronic stroke patients
10.23736/s1973-9087.22.07647-x · 2023
Feasibility of accelerometry in a self-directed upper limb activity program of a subacute setting with stroke survivors
10.1071/ib24008 · 2024
Quantification of the relative arm use in patients with hemiparesis using inertial measurement units
10.1177/20556683211019694 · 2021
Combined individual experience and Accelerometry measurement of upper limb use in daily activities in real time after stroke
10.3390/s25237330 · 2025
Enabling stroke rehabilitation in home and community settings: a wearable sensor-based approach for upper-limb motor training
10.1109/jtehm.2018.2829208 · 2018
Use of accelerometers to monitor motor activity during HABIT-ILE for chronic stroke: an exploratory study
10.3390/s25216656 · 2025
Predicting community walking after stroke
10.3389/fstro.2025.1523242 · 2025
Quantifying dosage of physical therapy using lower body kinematics: a longitudinal pilot study on early post-stroke individuals
10.1186/s12984-020-0655-0 · 2020
Consumer-based physical activity monitor as a practical way to measure walking intensity during inpatient stroke rehabilitation
10.1161/strokeaha.117.018175 · doi-reference
Feasibility, reliability, and validity of using accelerometers to measure physical activities of patients with stroke during inpatient rehabilitation
10.1371/journal.pone.0209607 · doi-reference
The iFST: an instrumented version of the Fukuda stepping test for balance assessment
10.1016/j.gaitpost.2017.12.010 · doi-reference
Validity study of a triaxial accelerometer for measuring energy expenditure in stroke inpatients of a physical medicine and rehabilitation center
10.1080/10749357.2022.2058292 · doi-reference
Clinical features to predict the use of a sEMG wearable device (REMO®) for hand motor training of stroke patients: a cross-sectional cohort study
10.3390/ijerph20065082 · doi-reference
Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task
10.3389/fdgth.2024.1359776 · doi-reference
Outside the laboratory assessment of upper limb laterality in patients with stroke: a cross-sectional study
10.1161/strokeaha.123.043657 · doi-reference
Wrist function test and its use to assess treatment efficacy in ischemic stroke survivors-a pilot study
10.3390/diagnostics15070840 · doi-reference
Inertial measurement units (IMUs) for biomechanical analysis in sport: a review of applications, challenges and future directions
10.1108/sr-04-2025-0261 · doi-reference
Advancements in wearable sensor Technologies for Health Monitoring in terms of clinical applications, rehabilitation, and disease risk assessment: systematic review
10.2196/76084 · doi-reference
Wearable inertial sensors for human movement analysis: a five-year update
10.1080/17434440.2021.1988849 · doi-reference
Rehabilitation of spinal cord injuries
10.5312/wjo.v6.i1.8 · doi-reference
Rehabilitation goals of people with spinal cord injuries can be classified against the international classification of functioning, disability and health Core set for spinal cord injuries
10.1038/sc.2015.155 · doi-reference
Circadian dysfunction and fluctuations in gait initiation impairment in Parkinson’s disease
10.1007/s00221-017-5163-5 · doi-reference
Prediction of post-stroke falls by quantitative assessment of balance
10.5535/arm.2017.41.3.339 · doi-reference
Gait analysis in neurorehabilitation: from research to clinical practice
10.3390/bioengineering10070785 · doi-reference
Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable
10.1177/1747493017714176 · doi-reference
Application of home-based wearable technologies in physical rehabilitation for stroke: a scoping review
10.1109/tnsre.2023.3252880 · doi-reference
Global burden of stroke: dynamic estimates to inform action
10.1016/s1474-4422(24)00363-6 · doi-reference
Accelerometric trunk sensors to detect changes of body positions in immobile patients
10.3390/s18103272 · doi-reference
Instrumented version of the modified dynamic gait index in patients with neurologic disorders
10.1002/pmrj.12137 · doi-reference
Pay attention: you can fall! The Mini-BESTest scale and the turning duration of the TUG test provide valid balance measures in neurological patients: a prospective study with falls as the balance criterion
10.3389/fneur.2023.1228302 · doi-reference
Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models
10.1186/s12984-024-01339-4 · doi-reference
Prodromal spinocerebellar Ataxia type 2 subjects have quantifiable gait and postural sway deficits
10.1002/mds.28343 · doi-reference
An integrated approach to the assessment of balance and functional mobility in individuals with history of severe traumatic brain injury
10.1016/j.heliyon.2024.e30665 · doi-reference
A personalized approach to improve walking detection in real-life settings: application to children with cerebral palsy
10.3390/s19235316 · doi-reference
Concurrent validity, test-retest reliability, and sensitivity of a PostureRite system measurement on dynamic postural sway and risk of fall in cerebral palsy
10.3233/nre-210331 · doi-reference
Reliability of single-day walking performance and physical activity measures using inertial sensors in children with cerebral palsy
10.1016/j.rehab.2019.02.003 · doi-reference
MSCopilot: new smartphone-based digital biomarkers correlate with expanded disability status scale scores in people with multiple sclerosis
10.1016/j.msard.2021.103164 · doi-reference
Objective sensor-based gait measures reflect motor impairment in multiple sclerosis patients: reliability and clinical validation of a wearable sensor device
10.1016/j.msard.2019.101903 · doi-reference
Assessing sensor-derived features from a wrist-worn wearable device as indicators of upper extremity function in individuals with cervical spinal cord injury
10.1016/j.apmr.2025.03.003 · doi-reference
Multi-day recordings of wearable sensors are valid and sensitive measures of function and Independence in human spinal cord injury
10.1089/neu.2016.4583 · doi-reference
Reliability of wearable-sensor-derived measures of physical activity in wheelchair-dependent spinal cord injured patients
10.3389/fneur.2018.01039 · doi-reference
Validation of using smartphone built-in accelerometers to estimate the active energy expenditures of full-time manual wheelchair users with spinal cord injury
10.3390/s21041498 · doi-reference
Long-term home-monitoring sensor technology in patients with Parkinson's disease-acceptance and adherence
10.3390/s19235169 · doi-reference
Three-dimensional evaluation of postural stability in Parkinson's disease with mobile technology
10.3233/nre-171473 · doi-reference
A new instrumented method for the evaluation of gait initiation and step climbing based on inertial sensors: a pilot application in Parkinson's disease
10.1186/s12984-015-0038-0 · doi-reference
Reliability and validity of the sway balance mobile application for measurement of postural sway in people with Parkinson disease
10.3233/nre-182424 · doi-reference
Events detection of anticipatory postural adjustments through a wearable accelerometer sensor is comparable to that measured by the force platform in subjects with Parkinson's disease
10.3390/s22072668 · doi-reference
Reliability of using foot-worn devices to measure gait parameters in people with Parkinson's disease
10.3233/nre-210101 · doi-reference