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Liwen Kong

ORCID: 0009-0008-0548-9550
Observed ORCID: 0009-0008-0548-9550
OpenAlex ID: A5102805534
Validation of gait analysis using smartphones: Reliability and validity
2024 · Shuai Tao, Hao Zhang, et al. · Digital Health · 21
Reconstructing tumor clonal heterogeneity and evolutionary relationships based on tumor DNA sequencing data
2024 · Zhen Wang, Yanhua Fang, et al. · Briefings in Bioinformatics · 16
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Testing the Validity of a Spatiotemporal Gait Model Using Inertial Measurement Units in Early Parkinson’s Patients
2023 · Shuai Tao, Haoye Wang, et al. · IEEE Access · 6
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Recognition of Parkinson's disease and Parkinson's dementia based on gait analysis and machine learning
2023 · Shuai Tao, Yi Wang, et al. · International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) · 3
[A study of cognitive impairment quantitative assessment method based on gait characteristics].
2024 · Shuai Tao, Hongbin Hu, et al. · PubMed Central · 2
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Using wearable devices to analyze the everyday gait differences between runners and nonrunners
2026 · Liwen Kong, Shuai Tao, et al. · Journal of intelligent medicine.
Prediction of Cognitive Impairment in Cerebral Small Vessel Disease Using an Ensemble Model Based on Gait Parameters
2024 · Liwen Kong, Yuying Wang, et al. · International Conference on Computer Information Science and Application Technology (CISAT)
Study on the Quantitative Assessment Method of Fall Risk Based on Multidimensional Gait Features
2024 · Shuai Tao, Kaiyue Xu, et al. · International Conference on Computer Engineering and Application (ICCEA)
Evaluation Method of Cognitive Level Based on Machine Learning and Wearable Device
2024 · Shuai Tao, Hongbin Hu, et al. · Lecture notes in electrical engineering
Regressing and predicting of multidimensional gait data characteristics——a novel correlation analysis method
2021 · Shuai Tao, Yiyuan Chen, et al. · International Academic Exchange Conference on Science and Technology Innovation (IAECST)
Works count: 10
Citation count: 48
H-index: 3
I10-index: 2
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