Machine learning in deep brain stimulation: A systematic review
作者：
Highlights：
• We survey 73 recent papers on machine learning (ML) in deep brain stimulation (DBS).
• ML has been increasingly applied in DBS to process electrical signals and MR images.
• ML in DBS is largely dominated by classification problems and traditional ML algorithms.
• Validation is heterogeneous with numerous different metrics and techniques employed.
• Many data processing problems in deep brain stimulation are still largely unanswered.
摘要
•We survey 73 recent papers on machine learning (ML) in deep brain stimulation (DBS).•ML has been increasingly applied in DBS to process electrical signals and MR images.•ML in DBS is largely dominated by classification problems and traditional ML algorithms.•Validation is heterogeneous with numerous different metrics and techniques employed.•Many data processing problems in deep brain stimulation are still largely unanswered.
论文关键词：Systematic review,Deep brain stimulation,Machine learning
论文评审过程：Received 22 April 2021, Revised 23 September 2021, Accepted 12 October 2021, Available online 18 October 2021, Version of Record 3 November 2021.
论文官网地址：https://doi.org/10.1016/j.artmed.2021.102198
