GAIT-CKD (Gait Analysis using Artificial Intelligence for digital Therapeutics of patients with Chronic Kidney Disease): design and methods
This study confirmed that the gaits of healthy individuals and CKD patients were different, and the effect of the 8-week app-based health intervention will be analyzed. The study will yield important baseline data for creating digital therapeutics for CKD patients' diet/exercise in the future.
Authors
- In Cheol Jeong (ORCID: https://orcid.org/0000-0001-9314-5601)
- Seokjue Jeong (ORCID: https://orcid.org/0009-0006-6353-0553)
- S Y Park
- Sunghan Lee (ORCID: https://orcid.org/0000-0002-8694-7144)
- Wonjun Lee (ORCID: https://orcid.org/0000-0002-5981-2375)
- Young‐Jin Song (ORCID: https://orcid.org/0000-0002-0253-4802)
- Semin Ryu (ORCID: https://orcid.org/0000-0002-4183-0014)
- Hyunsuk Kim (ORCID: https://orcid.org/0000-0003-1889-253X)
- Yeo Jin Kim
- Munsang Kim
- J P Koh
- Moo‐Eob Ahn
- Okhyeon Rye
- Sanggyu Lee
Institutions
- Hallym University (KR)
- Gwangju Institute of Science and Technology (KR)
- Sacred Heart Hospital (NG)
- Building Bridges (US)
- Kangdong Sacred Heart Hospital (KR)
- Hallym University Chuncheon Sacred Heart Hospital (KR)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Kidney Research and Clinical Practice
- Published
- 2024-09-05
- DOI
- https://doi.org/10.23876/j.krcp.23.273
- Citations
- 3
- Primary Topic
- Prosthetics and Rehabilitation Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of SMEs and Startups
- Ministry of Science and ICT, South Korea
- Korea Technology and Information Promotion Agency for SMEs