Noncontact multi-modal sensor fusion for sleep stage detection

被引：0
|
作者：
Yang, Xiaohui [1 ]
Xue, Biao [2 ]
Zhang, Li [2 ]
Liu, Xin [1 ]
Hong, Hong [2 ]
机构：
[1] Nanjing Integrated Tradit Chinese & Western Med H, Nanjing 210014, Peoples R China
[2] Nanjing Univ Sci & Technol, Nanjing, Peoples R China
来源：
2019 IEEE MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE (IMBIOC 2019) | 2019年
关键词：
D O I：
10.1109/imbioc.2019.8777863
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Non-contact monitoring of sleep quality and early diagnosis of sleep disorders have become hot topics in recent years. We propose a new method to extract sleep related vital signals through low-cost and non-contact multi-modal sensor fusion method with Doppler radar and microphone. Based on the PSG data of patients with sleep disorders, this work has been recognized and certified by professionals in Nanjing Integrated Traditional Chinese and Western Medicine Hospital with unique design. By comparing the sleep stage classification performance of single sensor and sensor fusion algorithm, the effectiveness of the algorithm is validated.
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页数：3
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