Distinguish different sensorimotor performance of the hand between the individuals with diabetes mellitus and chronic kidney disease through deep learning models.
Saved in:
| Title: | Distinguish different sensorimotor performance of the hand between the individuals with diabetes mellitus and chronic kidney disease through deep learning models. |
|---|---|
| Authors: | Mo PC; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan., Hsu HY; Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.; Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Lin CF; Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan., Cheng YS; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan., Tu IT; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan.; Division of Nephrology, Department of Internal Medicine, Chi Mei Medical Center, Tainan, Taiwan., Kuo LC; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan.; Department of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.; Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan., Su FC; Department of Biomedical Engineering, College of Engineering, National Cheng Kung University, Tainan, Taiwan.; Medical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan. |
| Source: | Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2024 Feb 29; Vol. 12, pp. 1351485. Date of Electronic Publication: 2024 Feb 29 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101632513 Publication Model: eCollection Cited Medium: Print ISSN: 2296-4185 (Print) Linking ISSN: 22964185 NLM ISO Abbreviation: Front Bioeng Biotechnol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!