Development and validation of the Persian Prosthesis Embodiment Scale for Lower Limb Amputees

The Persian PEmbS-LLA is a valid and reliable instrument. Interpretation of significant differences in prosthesis embodiment between the samples requires further research.

Authors

Institutions

Publication Details

Journal
Disability and Rehabilitation
Published
2025-03-04
DOI
https://doi.org/10.1080/09638288.2025.2471012
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of the Persian Prosthesis Embodiment Scale for Lower Limb Amputees

Robin Bekrater‐Bodmann, Vahideh Moradi, Taher Babaee, Alireza Khani et al.
Disability and Rehabilitation
Prosthetics and Rehabilitation Robotics
article

Development and validation of the Persian Prosthesis Embodiment Scale for Lower Limb Amputees

Robin Bekrater‐Bodmann, Vahideh Moradi, Taher Babaee, Alireza Khani, Zahra Fattahi, Mehdi Rezaee
article en

Abstract

The Persian PEmbS-LLA is a valid and reliable instrument. Interpretation of significant differences in prosthesis embodiment between the samples requires further research.

Disability and RehabilitationVol. 47(20)
University of Applied Science and Technology (IR), University of Social Welfare and Rehabilitation Sciences (IR), Tehran University of Medical Sciences (IR), RWTH Aachen University (DE)
Tehran University of Medical Sciences and Health Services
Openalex Percentile: Top 96%
Prosthetics and Rehabilitation Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.