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PubMed Publications| Keyword search (4,164 papers available) |  |
"Yao Y" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Advancements in Sensor Technologies and Control Strategies for Lower-Limb Rehabilitation Exoskeletons: A Comprehensive Review | Yao Y; Shao D; Tarabini M; Moezi SA; Li K; Saccomandi P; | 38675301 ENCS |
| 2 | A polygenic score for acute vaso-occlusive pain in pediatric sickle cell disease | Rampersaud E; Kang G; Palmer LE; Rashkin SR; Wang S; Bi W; Alberts NM; Anghelescu D; Barton M; Birch K; Boulos N; Brandow AM; Brooke RJ; Chang TC; Chen W; Cheng Y; Ding J; Easton J; Hodges JR; Kanne CK; Levy S; Mulder H; Patel AP; Puri L; Rosencrance C; Rusch M; Sapkota Y; Sioson E; Sharma A; Tang X; Thrasher A; Wang W; Yao Y; Yasui Y; Yergeau D; Hankins JS; Sheehan VA; Downing JR; Estepp JH; Zhang J; DeBaun M; Wu G; Weiss MJ; | 34283174 PSYCHOLOGY |
| 3 | Assessing Increased Activities of the Forearm Muscles Due to Anti-Vibration Gloves: Construct Validity of a Refined Methodology. | Yao Y, Rakheja S, Larivière C, Marcotte P | 32885999 CONCORDIA |
| 4 | Comprehensive evaluation of adsorption performances of carbonaceous materials for sulfonamide antibiotics removal. | Luo B, Huang G, Yao Y, An C, Li W, Zheng R, Zhao K | 32886308 CONCORDIA |
| 5 | Distributed vibration isolation and manual dexterity of anti-vibration gloves: Is there a correlation? | Yao Y, Rakheja S, Marcotte P | 32250726 CONCORDIA |
| 6 | The first MICCAI challenge on PET tumor segmentation. | Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky F, Girard P, Glatard T, Kain M, Yao Y, Barillot C, Kirov A, Visvikis D | 29268169 IMAGING |
| 7 | Evaluation of effects of anti-vibration gloves on manual dexterity. | Yao Y, Rakheja S, Gauvin C, Marcotte P, Hamouda K | 29984624 CONCORDIA |
| 8 | Performance of ceramic disk filter coated with nano ZnO for removing Escherichia coli from water in small rural and remote communities of developing regions. | Huang J, Huang G, An C, He Y, Yao Y, Zhang P, Shen J | 29544196 ENCS |
| 9 | Treatment of rural domestic wastewater using multi-soil-layering systems: Performance evaluation, factorial analysis and numerical modeling. | Song P, Huang G, An C, Shen J, Zhang P, Chen X, Shen J, Yao Y, Zheng R, Sun C | 29990903 ENCS |
| 10 | Biophysiological and factorial analyses in the treatment of rural domestic wastewater using multi-soil-layering systems. | Shen J, Huang G, An C, Song P, Xin X, Yao Y, Zheng R | 30114576 ENCS |
| 11 | Wastewater treatment in amine-based carbon capture. | Dong C, Huang G, Cheng G, An C, Yao Y, Chen X, Chen J | 30738317 ENCS |
| Title: | Advancements in Sensor Technologies and Control Strategies for Lower-Limb Rehabilitation Exoskeletons: A Comprehensive Review | ||||
| Authors: | Yao Y, Shao D, Tarabini M, Moezi SA, Li K, Saccomandi P | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38675301/ | ||||
| DOI: | 10.3390/mi15040489 | ||||
| Publication: | Micromachines | ||||
| Keywords: | comprehensive review; lower limb exoskeleton; rehabilitation exoskeleton; rehabilitation robot; | ||||
| PMID: | 38675301 | Category: | Date Added: | 2024-04-27 | |
| Dept Affiliation: |
ENCS
1 School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2 Department of Mechanical Engineering, Polytechnic of Milan, 20133 Milano, Italy. 3 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada. 4 College of Mechanical and Vehicle Engineering, Chongqing 400044, China. 5 State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, China. |
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Description: |
Lower-limb rehabilitation exoskeletons offer a transformative approach to enhancing recovery in patients with movement disorders affecting the lower extremities. This comprehensive systematic review delves into the literature on sensor technologies and the control strategies integrated into these exoskeletons, evaluating their capacity to address user needs and scrutinizing their structural designs regarding sensor distribution as well as control algorithms. The review examines various sensing modalities, including electromyography (EMG), force, displacement, and other innovative sensor types, employed in these devices to facilitate accurate and responsive motion control. Furthermore, the review explores the strengths and limitations of a diverse array of lower-limb rehabilitation-exoskeleton designs, highlighting areas of improvement and potential avenues for further development. In addition, the review investigates the latest control algorithms and analysis methods that have been utilized in conjunction with these sensor systems to optimize exoskeleton performance and ensure safe and effective user interactions. By building a deeper understanding of the diverse sensor technologies and monitoring systems, this review aims to contribute to the ongoing advancement of lower-limb rehabilitation exoskeletons, ultimately improving the quality of life for patients with mobility impairments. |
