RRMonitor: A Resource-Aware End-to-End System for Continuous Monitoring of Respiration Rate Using Earbuds

被引:9
作者
Ahmed, Tousif [1 ]
Rahman, Md Mahbubur [1 ]
Ahmed, Mohsin Yusuf [1 ]
Nemati, Ebrahim [1 ]
Dinh, Minh [2 ]
Folkman, Nathan [2 ]
Kuang, Jilong [1 ]
Gao, Alex [1 ]
机构
[1] Samsung Res Amer, Digital Hlth Lab, Mountain View, CA 94043 USA
[2] Samsung Design & Innovat Ctr, San Francisco, CA USA
来源
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) | 2021年
关键词
D O I
10.1109/EMBC46164.2021.9631109
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Respiration rate is considered as a critical vital sign, and daily monitoring of respiration rate could provide helpful information about any acute condition in the human body. While researchers have been exploring mobile devices for respiration rate monitoring, passive and continuous monitoring is still not feasible due to many usability challenges (e.g., active participation) in existing approaches. This paper presents an end-to-end system called RRMonitor that leverages the movement sensors from commodity earbuds to continuously monitor the respiration rate in near real-time. While developing the systems, we extensively explored some key parameters, algorithms, and approaches from existing literature that are better suited for continuous and passive respiration rate monitoring. RRMonitor can passively track the respiration rate with a mean absolute error as low as 1.64 cycles per minute without requiring active participation from the user. Clinical relevance- This work enables continuous monitoring of respiration rate during daily life that has significant potential for detecting abnormal changes in respiration rate.
引用
收藏
页码:2463 / 2467
页数:5
相关论文
共 15 条
[1]  
Aly H, 2016, IEEE INFOCOM SER
[2]  
Cretikos MA, 2008, MED J AUSTRALIA, V188, P657
[3]   RESPIRATORY RATE PREDICTS CARDIOPULMONARY ARREST FOR INTERNAL-MEDICINE INPATIENTS [J].
FIESELMANN, JF ;
HENDRYX, MS ;
HELMS, CM ;
WAKEFIELD, DS .
JOURNAL OF GENERAL INTERNAL MEDICINE, 1993, 8 (07) :354-360
[4]   BioWatch: Estimation of Heart and Breathing Rates from Wrist Motions [J].
Hernandez, Javier ;
McDuff, Daniel ;
Picard, Rosalind W. .
PROCEEDINGS OF THE 2015 9TH INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE (PERVASIVEHEALTH), 2015, :169-176
[5]  
Hernandez J, 2014, 2014 EAI 4TH INTERNATIONAL CONFERENCE ON WIRELESS MOBILE COMMUNICATION AND HEALTHCARE (MOBIHEALTH), P55, DOI [10.1109/MOBIHEALTH.2014.7015908, 10.4108/icst.mobihealth.2014.257219]
[6]  
Kelly C., 2018, Nursing Times, V114, P23
[7]   Wearbreathing: Real world respiratory rate monitoring using smartwatches [J].
Liaqat, Daniyal ;
Abdalla, Mohamed ;
Abed-Esfahani, Pegah ;
Gabel, Moshe ;
Tatiana, S.O.N. ;
Robert, W.U. ;
Gershon, Andrea ;
Rudzicz, Frank ;
Lara, Eyal D.E. .
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2019, 3 (02)
[8]   Estimation of Respiratory Rates Using the Built-in Microphone of a Smartphone or Headset [J].
Nam, Yunyoung ;
Reyes, Bersain A. ;
Chon, Ki H. .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2016, 20 (06) :1493-1501
[9]  
Porr B., 2021, JAVA, P2021
[10]   InstantRR: Instantaneous Respiratory Rate Estimation on Context-Aware Mobile Devices [J].
Rahman, Md. Mahbubur ;
Nemati, Ebrahim ;
Nathan, Viswam ;
Kuang, Jilong .
13TH EAI INTERNATIONAL CONFERENCE ON BODY AREA NETWORKS, 2020, :267-281