Hongliu Yu
Overview
Explore the profile of Hongliu Yu including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
112
Citations
177
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Wang Q, Yu H, Shi P
IEEE Trans Neural Syst Rehabil Eng
. 2024 Jul;
32:3320-3327.
PMID: 39074022
Work-related musculoskeletal disorders are a major health issue, but there is little research to show whether active lumbar exoskeletons are suitable for single-shoulder load. The purpose of this study was...
12.
Wang D, Wu Y, Yu H
Brain Connect
. 2024 Jul;
14(8):401-417.
PMID: 39001823
With an aging population, the prevalence of neurological disorders is increasing, leading to a rise in lower limb movement disorders and, in turn, a growing need for rehabilitation training. Previous...
13.
Tang Y, Shi P, Yu H
Biomed Tech (Berl)
. 2024 Jul;
69(6):535-549.
PMID: 38953780
The aging population has led to a widening gap between the supply and demand for defecation care. To address this issue, the development of defecation care devices is the most...
14.
Yuan R, Wang Q, Xu H, Yu H, Shi P
NeuroRehabilitation
. 2024 Jun;
54(4):575-597.
PMID: 38943405
Background: Wearable trunk exoskeletons hold immense potential in fields such as healthcare and industry. Previous research has indicated that intention recognition control plays a crucial role in users' daily use...
15.
Li S, Cai W, Zhu P, He W, Zheng J, Fang F, et al.
Technol Health Care
. 2024 May;
32(4):2293-2306.
PMID: 38759031
Background: Rehabilitation assessment is a critical component of rehabilitation treatment. Objective: This study focuses on a comprehensive analysis of patients' movement performance using the upper limb rehabilitation robot. It quantitatively...
16.
Li S, Xiang S, Ma Q, Cai W, Liu S, Fang F, et al.
Front Bioeng Biotechnol
. 2024 May;
12:1400912.
PMID: 38720881
The rehabilitation robot can assist hemiplegic patients to complete the training program effectively, but it only focuses on helping the patient's training process and requires the rehabilitation therapists to manually...
17.
Li W, Shi P, Li S, Yu H
Front Bioeng Biotechnol
. 2024 Jan;
11:1334771.
PMID: 38260728
Training with "Extended Reality" or X-Reality (XR) systems can undoubtedly enhance the control of the myoelectric prostheses. However, there is no consensus on which factors improve the efficiency of skill...
18.
Zhang Y, Li T, Tao H, Liu F, Hu B, Wu M, et al.
Front Bioeng Biotechnol
. 2024 Jan;
11:1332689.
PMID: 38234302
With the aggravation of aging and the growing number of stroke patients suffering from hemiplegia in China, rehabilitation robots have become an integral part of rehabilitation training. However, traditional rehabilitation...
19.
Luo S, Yu H
IEEE Trans Neural Syst Rehabil Eng
. 2024 Jan;
32:570-576.
PMID: 38231807
In recent years, robot-assisted training has been shown to significantly improve motor function and proprioception in people with functional disabilities, but the efficiency of proprioceptive acuity was unclear. To characterize...
20.
Li W, Zhang X, Shi P, Li S, Li P, Yu H
IEEE Trans Neural Syst Rehabil Eng
. 2023 Dec;
32:2005-2015.
PMID: 38147425
Gesture interaction via surface electromyography (sEMG) signal is a promising approach for advanced human-computer interaction systems. However, improving the performance of the myoelectric interface is challenging due to the domain...