Website for SSPE

Eng

鄭瀟平

Dr Xiao-ping ZHENG

Research Assistant
Department of Sports Science and Physical Education
BSc (CUG, CN), MSc (CUG, CN), PhD (RUG, NL)
+852 3943 5345
Research Interest
Movement Sciences, Machine Learning, Time series analysis
Selected Publications (*denotes corresponding author)
  1. Zheng, X., Reneman, M., Ottem, E., and Lamoth, C., Explaining deep learning models for age-related gait classification based on time series acceleration. Preprint https://doi.org/10.48550/arXiv.2311.12089
  2. Zheng, X., Lamoth, C., Timmerman, H., Ottem, E., and Reneman, M., Establishing central sensitization inventory cut-off Values in patients with chronic low back pain by unsupervised machine learning. Preprint https://doi.org/10.48550/arXiv.2311.11862
  3. Zheng, X., Wilhelm, E., Reneman, M., Ottem, E., and Lamoth, C., Age-related gait patterns classification using deep learning based on time-series data from one accelerometer. Preprint: https://doi.org/10.36227/techrxiv.22643314.v1
  4. Zheng, X., Reneman, M., Schiphorst Preuper, R., Ottem, E., and Lamoth, C., Relationship between physical activity and central sensitization in chronic low back pain: Insights from machine learning. Computer Methods and Programs in Biomedicine, 232 (2023): 107432. https://doi.org/10.1016/j.cmpb.2023.107432
  5. Zheng, X., Reneman, M., Echeita, J., Schiphorst Preuper, R., Kruitbosch, H., Ottem, E., and Lamoth, C., Association between central sensitization and gait in chronic low back pain: Insights from a machine learning approach. Computers in biology and medicine, 144 (2022): 105329. https://doi.org/10.1016/j.compbiomed.2022.105329
  6. Chen, P., Zheng, X., Gu, F., and Shang, J., Path distance-based map matching for Wi-Fi fingerprinting positioning. Future Generation Computer Systems, 107 (2020): 82-94. https://doi.org/10.1016/j.future.2020.01.053
  7. Wu, Y, Chen, P., Gu, F., Zheng, X., Shang, J., HTrack: An efficient heading- aided map matching for indoor localization and tracking. IEEE Sensors Journal, 19.8 (2019): 3100-3110. https://doi.org/10.1109/JSEN.2019.2891313
Conference/Symposium Presentation
  • Explaining deep learning models for age-related gait classification based on time-series acceleration. ISB 2023, Fukuoka, Japan (Oral).
  • Deep learning for age-related gait patterns classification based on raw accelerometer signal from 3 minutes walking. ISPGR 2023, Brisbane, Australia (Oral).
  • Physical activity patterns of patients with chronic low back pain and central sensitization: insights from a machine learning method. BME 2023, Egmond aan Zee, The Netherlands (Oral).
  • Effects of level of central sensitization on physical activity patterns in chronic low back pain: insights from a machine learning approach. ISPGR 2022, Online (Oral).
  • Exploring effects of central sensitization on gait in chronic low back pain by using machine learning approach. ICAMPAM 2022, Online (Oral).
  • Classification of patients with chronic low back pain and high or low central sensitization by gait outcomes using machine learning methods. BME 2021, Online (Oral).
  • Establishing central sensitization inventory cutoff-scores in chronic low back pain population by deep learning. PA!N Congres 2021, Online (Oral).
  • Exploring effects of central sensitization on gait in chronic low back pain by machine learning. PA!N Congres 2021, Online (Oral).
  • Physical activity levels of patients with chronic low back pain and central sensitization: insights from a machine learning method. ICAMPAM 2021, Online (Oral).
  • Reference Points Density Invariant Map Matching for Wi-Fi Fingerprinting Positioning. 26th CPGIS 2018, Kunming, China (Oral).
    https://doi.org/10.1109/GEOINFORMATICS.2018.8557040
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