Paper Info
Title
Automatic Event Detector From Smartphone Accelerometry: Pilot Mhealth Study For Obstructive Sleep Apnea Monitoring At Home
Abstract
Obstructive sleep apnea (OSA) is a common disorder with a low diagnosis ratio, leaving many patients undiagnosed and untreated. In the last decades, accelerometry has been found to be a feasible solution to obtain respiratory activity and a potential tool to monitor OSA. On the other hand, many smartphone-based systems have already been developed to propose solutions for OSA monitoring and treatment. The objective of this work was to develop an automatic event detector based on smartphone accelerometry and pulse oximetry, and to assess its ability to detect thoracic movements. It was validated with a commercial OSA monitoring system at home. Results of this preliminary pilot study showed that the proposed event detector for accelerometry signals is a feasible tool to detect abnormal respiratory events, such as apneas and hypopneas, and has potential to be included in smartphone-based systems for OSA assessment.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8857507
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Computer vision,Obstructive sleep apnea,Sleep apnea,Monitoring system,Accelerometer,Computer science,mHealth,Artificial intelligence,Physical medicine and rehabilitation,Detector,Pulse oximetry
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Ignasi Ferrer-Lluis100.34
Yolanda Castillo-Escario200.68
Josep Maria Montserrat300.68
R Jané413143.71