Evidence map›Paper›PMID 39263191›Full record

ArticleFrontiers in robotics and AI2024

A compact motorized end-effector for ankle rehabilitation training.

Renxiang Wu, Mingyang Luo, Jiaming Fan, Jingting Ma, Naiwen Zhang, Jianjun Li, Qiuyuan Li, Fei Gao, Guo Dan

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Renxiang Wu *Medical Electronic Instrument Transformation Engineering Technology Research Center of Guangdong Province, Shenzhen, China.
Mingyang Luo *Medical Electronic Instrument Transformation Engineering Technology Research Center of Guangdong Province, Shenzhen, China.
Jiaming FanMedical Electronic Instrument Transformation Engineering Technology Research Center of Guangdong Province, Shenzhen, China.
Jingting MaMedical Electronic Instrument Transformation Engineering Technology Research Center of Guangdong Province, Shenzhen, China.
Naiwen ZhangMedical Electronic Instrument Transformation Engineering Technology Research Center of Guangdong Province, Shenzhen, China.
Jianjun LiRehabilitation Clinic, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
Qiuyuan LiRehabilitation Clinic, Shenzhen University General Hospital, Shenzhen, Guangdong, China.
Fei GaoGuangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
Guo DanMedical Electronic Instrument Transformation Engineering Technology Research Center of Guangdong Province, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a compact end-effector ankle rehabilitation robot (CEARR) system for addressing ankle range of motion (ROM) rehabilitation. The CEARR features a bilaterally symmetrical rehabilitation structure, with each side possessing three degrees of freedom (DOF) driven by three independently designed actuators. The working intervals of each actuator are separated by a series connection, ensuring they operate without interference to accommodate the dorsiflexion/plantarflexion (DO/PL), inversion/eversion (IN/EV), and adduction/abduction (AD/AB) DOF requirements for comprehensive ankle rehabilitation. In addition, we integrated an actuator and foldable brackets to accommodate patients in varied postures. We decoded the motor intention based on the surface electromyography (sEMG) and torque signals generated by the subjects' ankle joints in voluntary rehabilitation. Besides, we designed a real-time voluntary-triggered control (VTC) strategy to enhance the rehabilitation effect, in which the root mean square (RMS) of sEMG was utilized to trigger and adjust the CEARR rehabilitation velocity support. We verified the consistency of voluntary movement with CEARR rehabilitation support output for four healthy subjects on a nonlinear sEMG signal with an

Indexed as

ankle rehabilitation robotlower limb rehabilitation robotmotion intent recognitionROM rehabilitationstroke

Identifiers

PMID39263191
PMCPMC11387888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.