Work

Estimating power wheelchair electronics lifespan based on real-world data

Year: 2025

Type: article

Study design: Observational Study

Source: Disability and Rehabilitation Assistive Technology

DOI: 10.1080/17483107.2025.2458727

Authors: Matthew Kim, Gede Pramana, Richard M. Schein, Mark R. Schmeler

Institution: University of Pittsburgh

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Institute on Disability, Independent Living, and Rehabilitation Research

Award: G2246998170

OpenAlex ID: W4407190389

FWCI:

Cites: 20

Cited by:

Related to: 10