Work

Quantitative assessment of essential tremor based on machine learning methods using wearable device

Year: 2021

Type: article

Source: Biomedical Signal Processing and Control

DOI: 10.1016/j.bspc.2021.103244

Authors: Chenbin Ma, Deyu Li, Longsheng Pan, Xuemei Li, Chunyu Yin, Ailing Li, Zhengbo Zhang, Rui Zong

Institutions: Chinese PLA General Hospital, Beihang University, First Affiliated Hospital of Chinese PLA General Hospital, Chinese People's Liberation Army

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Beijing Municipal Science and Technology Commission

Awards: G3086977698, G7415120283, G7766468697

OpenAlex ID: W3211190845

FWCI: 2.028

Cites: 62

Cited by: 32

Related to: 10