JMIR Rehabilitation and Assistive Technologies

Development and evaluation of rehabilitation, physiotherapy and assistive technologies, robotics, prosthetics and implants, mobility and communication tools, home automation, and telerehabilitation.

Editor-in-Chief:

Sarah Munce, MSc, PhD, University of Toronto, Canada


Impact Factor 3.0 CiteScore 5.7

JMIR Rehabilitation and Assistive Technologies (Editor in Chief: Sarah Munce, PhD) is a PubMed/PubMed CentralSCOPUS, DOAJ, Web of Science, Sherpa/Romeo and EBSCO/EBSCO Essentials indexed journal that focuses on readable and applied science that reports on the development, implementation, and evaluation of health innovations and emerging technologies in the field of rehabilitation.

JMIR Rehabilitation and Assistive Technologies received an inaugural Journal Impact Factor of 3.0 according to the latest release of the Journal Citation Reports from Clarivate, 2025.

JMIR Rehabilitation and Assistive Technologies received a CiteScore of 5.7 (2024), placing it in the 93rd percentile (#11 of 165) as a Q1 journal in the field of Rehabilitation.

Recent Articles

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Theme Issue: Participatory Methods in Rehab Interventions and Assistive Technologies

While smart speakers are emerging as a novel health care technology, people with Parkinson's Disease (PwPD) and speech and language therapists (SaLTs) have reported difficulties using smart speakers with speech and voice impairments in research. To date, PwPD have identified frustration with having to repeat themselves to be understood, devices timing out before they had finished speaking, and being unable to have a conversation with smart speakers. SaLTs have reported technical and practical challenges in implementing voice-assisted technology tools. Both PwPD and SaLTs indicated a lack of knowledge about what smart speakers could do, as well as concerns about privacy and the listening nature of the devices.

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Assistive Technologies

Older adults in rural areas of Peru encounter many challenges in accessing critical public services sections, such as public health services, education services, and social assistance public services, due to low levels of digital literacy, lack of technology access, and no formalized and secure identification. This inhibits entry into digital health, education, and social assistance systems and increases their risk of vulnerability and social exclusion.

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Emerging Technologies for Rehabilitation

Large language models (LLMs) have demonstrated potential in automating the analysis of unstructured clinical data, yet their application in rehabilitation therapy for work injury cases remains underexplored.

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Telerehabilitation

Telerehabilitation has been widely adapted to meet the growing rehabilitation demand, but it is often limited by unstable internet connection, poor audiovisual resolution, and difficult virtual assessment. The Shoulder Telehealth Assessment Tool (STAT), a comprehensive, patient-led, pre-consultation shoulder physical examination pictorial guide, was developed to address these limitations by easing the communication of instruction during the consultation, and potentially removing the need for video calls.

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Accessibility

Speech recognition technology is widely used by D/deaf and hard-of-hearing (DHH) individuals in everyday communication, but its clinical applications remain underexplored. Communication barriers in healthcare can compromise safety, understanding, and autonomy for DHH individuals.

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Internet for Rehabilitation

The ageing population has resulted in more people living for longer with musculoskeletal conditions who are in need of hip and knee replacement surgery. Lengthening waiting lists are increasingly a challenge for patients and healthcare services.

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Technology in Physiotherapy

The Human Activity Profile (HAP) questionnaire is widely used to assess functional capacity in patients with chronic diseases. However, its remote administration via telephone has not been validated in individuals with cardiovascular disease (CVD), despite increasing need for accessible assessment methods, particularly in contexts involving mobility limitations or reduced access to in-person care.

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Emerging Technologies for Rehabilitation

Artificial intelligence (AI)–based gait analysis systems are increasingly applied in rehabilitation settings for objective and quantitative assessment of gait function. However, despite their potential, clinical adoption remains limited due to insufficient consideration of usability, user experience, and integration into actual clinical workflows.

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Reviews on Innovation in Rehabilitation and Assistive Technologies

The manufacture of load-bearing prosthetic lower limb sockets is traditionally reliant on skilled technicians working with qualified clinicians, creating bespoke solutions. While this approach is effective and, in some situations necessary, the appeal of a sustainable, efficient, and digitalized production solution has made a statement in recent decades that cannot be ignored. The focus of additive manufacturing (AM) is typically on low weight bearing prostheses, which can be misleading for clinics attempting to adopt AM solutions for clientele with weight bearing and/or activity level needs.

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Theme Issue 2025: Advancing Telerehabilitation Research and Innovation

Postoperative rehabilitation is essential to improve quality of life (QoL), pain control, and upper limb function in women undergoing surgery for breast cancer (BC). Telerehabilitation has emerged as a promising alternative to conventional rehabilitation, especially in patients with limited access to care, but its comparative efficacy remains uncertain.

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