Subjects :
stroke patients
논문 검색결과
| Type |
Year |
Title |
Cited |
Download |
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Conference
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2024 |
Prognosis of physical functioning change for post-stroke patients based on life cycle rehabilitation data
Jeong Daun International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB) 2024, pp.33-33 |
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Journal
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2023 |
Factors affecting real‐time evaluation of muscle function in smart rehab systems
Joe Hyunwoo ETRI Journal, v.45, no.4, pp.603-614 |
2 |
원문
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Journal
|
2022 |
AI-Based Stroke Disease Prediction System Using ECG and PPG Bio-Signals
Yu Jae Hak IEEE Access, v.10, pp.43623-43638 |
70 |
원문
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Journal
|
2022 |
Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms
김서영 Journal of Clinical Medicine, v.11, no.8, pp.1-21 |
20 |
원문
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|
Journal
|
2022 |
Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms
류영환 Journal of Clinical Medicine, v.11, no.8, pp.1-21 |
20 |
원문
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Journal
|
2021 |
Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data
Lee Jong Taek Journal of Personalized Medicine, v.11, no.11, pp.1-11 |
9 |
원문
|
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Journal
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2021 |
Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data
박은희 Journal of Personalized Medicine, v.11, no.11, pp.1-11 |
9 |
원문
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Conference
|
2013 |
Personalized Real-Time Stroke Management System
Lim Joon-Ho International Conference on Computing and Convergence Technology (ICCCT) 2013, pp.190-193 |
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특허 검색결과
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Family Pat. |
KIPRIS |
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연구보고서 검색결과
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