ArticleAssistive technology : the official journal of RESNA2022
Validating a wheelchair in-seat activity tracker.
Article in Assistive technology : the official journal of RESNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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
10 citing papers in PubMed, 16 citations in OpenAlex.
- Wheelchair user and clinician-centered design of a mobile pressure mapping app and dashboard: A pre-implementation development study.The journal of spinal cord medicine · 2026Article
- Relationship of Seat Interface Pressure to Change in Center of Pressure During Manual Wheelchair Pressure Redistribution Maneuvers.Sensors (Basel, Switzerland) · 2025Article
- Stakeholder Perspectives on mHealth Technologies to Prevent Sitting-Acquired Pressure Injuries in Long-Term Care Facilities: Mixed Methods Study.JMIR formative research · 2025Article
- Experiences of Wheelchair Users With Spinal Cord Injury With Self-Tracking and Commercial Self-Tracking Technology ("In Our World, Calories Are Very Important"): Qualitative Interview Study.JMIR human factors · 2025Article
- All day in bed, all night in the wheelchair: Unmet attendant care needs of people with spinal cord injury.The journal of spinal cord medicine · 2025Article
- Comparative analysis of sitting pressures in individuals with spinal cord injury: static vs. dynamic air cushions.Frontiers in public health · 2025Article
- The relationship between in-seat movement and pressure ulcers in wheelchair users with SCI/D.The journal of spinal cord medicine · 2024Article
- Participatory action design and engineering of a manual wheelchair virtual coach including in-home and community usage.The journal of spinal cord medicine · 2023Article
- Continuous pressure monitoring of inpatient spinal cord injured patients: implications for pressure ulcer development.Spinal cord · 2023Observational
- The usability of two mobile health assistive technologies for wheelchair-related in-seat movement and pressure.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Wheelchair users often experience prolonged periods of stationary sitting. Such periods are accompanied with increased loading of the ischial tuberosities. This can lead to the development of pressure ulcers which can cause complications such as sepsis. Periodic pressure offloading is recommended to reduce the onset of pressure ulcers. Experts recommend the periodic execution of different movements to provide the needed pressure offloading. Wheelchair users, however, might not remember to perform these recommended movements in terms of both quality and quantity. A system that can detect such movements could provide valuable feedback to both wheelchair users as well as clinicians. The objective of this study was to present and validate the WiSAT - a system for characterizing in-seat activity for wheelchair users. WiSAT is designed to detect two kinds of movements - weight shifts and in-seat movements. Weight shifts are movements that offload pressure on ischial tuberosities by 30% as compared to upright sitting and are maintained for 15 seconds. In-seat movements are shorter transient movements that involve either a change in the center of pressure on the sitting buttocks or a transient reduction in total load by 30%. This study validates the use of WiSAT in manual wheelchairs. WiSAT has a sensor mat which was inserted beneath a wheelchair cushion. Readings from these sensors were used by WiSAT algorithms to predict weight shifts and in-seat movements. These weight shifts and in-seat movements were validated against a high-resolution interface pressure mat in a dataset that resembles real-world usage. The proposed system achieved weight shift precision and recall scores of 81% and 80%, respectively, while in-seat movement scores were predicted with a mean absolute error of 22%. Results showed that WiSAT provides sufficient accuracy in characterizing in-seat activity in terms of weight shifts and in-seat movement.
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What OpenQuestion holds
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.