ArticlePloS one2018
Validity of consumer-grade activity monitor to identify manual wheelchair propulsion in standardized activities of daily living.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Systematic review on the application of wearable inertial sensors to quantify everyday life motor activity in people with mobility impairments.Journal of neuroengineering and rehabilitation · 2020Pooled it
- Physical activity levels are low in the days, weeks, and months following dysvascular major lower limb amputation.Journal of rehabilitation medicine · 2026Observational
- Monitoring wheelchair propulsion patterns: feasibility and validity of using wearable sensors.Journal of neuroengineering and rehabilitation · 2025Article
- Monitoring of child-specific activities in ambulatory children with and without developmental disabilities.BMC pediatrics · 2025Article
- The Push Forward in Rehabilitation: Validation of a Machine Learning Method for Detection of Wheelchair Propulsion Type.Sensors (Basel, Switzerland) · 2024Article
- Exploring needs and requirements for a prototype device measuring physical activity in pediatric physical therapy: A qualitative study.PloS one · 2024Article
- Investigating the Accuracy of Wheelchair Push Counts Measured by Fitness Watches: A Systematic Review.Cureus · 2023Review
- Measurement of self-propulsion distance of wheelchair using cycle computer excluding assistance distance by touch switch: A pilot study.The journal of spinal cord medicine · 2021Article
- Tracking and Characterization of Spinal Cord-Injured Patients by Means of RGB-D Sensors.Sensors (Basel, Switzerland) · 2020Article
- Assessment of a markerless motion analysis system for manual wheelchair application.Journal of neuroengineering and rehabilitation · 2018Article
- Is Fitbit Charge 2 a feasible instrument to monitor daily physical activity and handbike training in persons with spinal cord injury? A pilot study.Spinal cord series and cases · 2018Article
- Validation of an innovative algorithm for detecting self-propulsion in manual wheelchair users.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHypoactive lifestyle contributes to the development of secondary complications and lower quality of life in wheelchair users. There is a need for objective and user-friendly physical activity monitors for wheelchair-dependent individuals in order to increase physical activity through self-monitoring, goal setting, and feedback provision.
objectiveTo determine the validity of Activ8 Activity Monitors to 1) distinguish two classes of activities: independent wheelchair propulsion from other non-propulsive wheelchair-related activities 2) distinguish five wheelchair-related classes of activities differing by the movement intensity level: sitting in a wheelchair (hands may be moving but wheelchair remains stationary), maneuvering, and normal, high speed or assisted wheelchair propulsion.
methodsSixteen able-bodied individuals performed sixteen various standardized 60s-activities of daily living. Each participant was equipped with a set of two Activ8 Professional Activity Monitors, one at the right forearm and one at the right wheel. Task classification by the Active8 Monitors was validated using video recordings. For the overall agreement, sensitivity and positive predictive value, outcomes above 90% are considered excellent, between 70 and 90% good, and below 70% unsatisfactory.
resultsDivision in two classes resulted in overall agreement of 82.1%, sensitivity of 77.7% and positive predictive value of 78.2%. 84.5% of total duration of all tasks was classified identically by Activ8 and based on the video material. Division in five classes resulted in overall agreement of 56.6%, sensitivity of 52.8% and positive predictive value of 51.9%. 59.8% of total duration of all tasks was classified identically by Activ8 and based on the video material.
conclusionsActiv8 system proved to be suitable for distinguishing between active wheelchair propulsion and other non-propulsive wheelchair-related activities. The ability of the current system and algorithms to distinguish five various wheelchair-related activities is unsatisfactory.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.