Automatic classification of abnormal movement in Huntington's disease using wearable sensors and machine learning

被引：0
|
作者：
Aradi, S. [1 ]
Pierson, R. [1 ]
Scheid, B. [1 ]
Baldassano, S. [1 ]
Litt, B. [1 ]
Gonzalez-Alegre, P. [1 ]
机构：
[1] Univ S Florida, Tampa, FL 33620 USA
来源：
MOVEMENT DISORDERS | 2020年 / 35卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
1395
引用
收藏
页码：S643 / S643
页数：1
相关论文
共 50 条
  • [41] Quantifying Postural Control in Premanifest and Manifest Huntington Disease Using Wearable Sensors
    Porciuncula, Franchino
    Wasserman, Paula
    Marder, Karen S.
    Rao, Ashwini K.
    NEUROREHABILITATION AND NEURAL REPAIR, 2020, 34 (09) : 771 - 783
  • [42] Early Alzheimer's Disease Diagnosis Using Wearable Sensors and Multilevel Gait Assessment: A Machine Learning Ensemble Approach
    Jeon, Younghoon
    Kang, Jaeyong
    Kim, Byeong C.
    Lee, Kun Ho
    Song, Jong-In
    Gwak, Jeonghwan
    IEEE SENSORS JOURNAL, 2023, 23 (09) : 10041 - 10053
  • [43] Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: a systematic review
    di Biase, Lazzaro
    Pecoraro, Pasquale Maria
    Pecoraro, Giovanni
    Shah, Syed Ahmar
    Di Lazzaro, Vincenzo
    JOURNAL OF NEUROLOGY, 2024, 271 (10) : 6452 - 6470
  • [44] AUTODC: an automatic machine learning framework for disease classification
    Bai, Yang
    Li, Yang
    Shen, Yu
    Yang, Mingyu
    Zhang, Wentao
    Cui, Bin
    BIOINFORMATICS, 2022, 38 (13) : 3415 - 3421
  • [45] Classification of Alzheimer's Disease Based on Abnormal Hippocampal Functional Connectivity and Machine Learning
    Zhu, Qixiao
    Wang, Yonghui
    Zhuo, Chuanjun
    Xu, Qunxing
    Yao, Yuan
    Liu, Zhuyun
    Li, Yi
    Sun, Zhao
    Wang, Jian
    Lv, Ming
    Wu, Qiang
    Wang, Dawei
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [46] Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation
    Panwar, Madhuri
    Biswas, Dwaipayan
    Bajaj, Harsh
    Jobges, Michael
    Turk, Ruth
    Maharatna, Koushik
    Acharyya, Amit
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 66 (11) : 3026 - 3037
  • [47] Automatic recognition of labor activity: a machine learning approach to capture activity physiological patterns using wearable sensors
    Al Jassmi, Hamad
    Al Ahmad, Mahmoud
    Ahmed, Soha
    CONSTRUCTION INNOVATION-ENGLAND, 2021, 21 (04): : 555 - 575
  • [48] Classification of Alzheimer's Disease using Machine Learning Techniques
    Shahbaz, Muhammad
    Ali, Shahzad
    Guergachi, Aziz
    Niazi, Aneeta
    Umer, Amina
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA), 2019, : 296 - 303
  • [49] Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states
    Thomas, I.
    Bergquist, F.
    Constantinescu, R.
    Nyholm, D.
    Senek, M.
    Memedi, M.
    MOVEMENT DISORDERS, 2017, 32
  • [50] Automatic classification of traffic incident's severity using machine learning approaches
    Hoang Nguyen
    Cai, Chen
    Chen, Fang
    IET INTELLIGENT TRANSPORT SYSTEMS, 2017, 11 (10) : 615 - 623
12345