About: Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach
Creator	Liu, Ivan Ni, Shiguang Peng, Kaiping
topic	covid:dc1fd12e3bac8b6f3d05ac66a8ac6614970dc4cf#this
Source	Medline; PMC
abstract	Heart rate variability (HRV) provides essential health information such as the risks of heart attacks and mental disorders. However, inconvenience related to the accurate detection of HRV limits its potential applications. The ubiquitous use of smartphones makes them an excellent choice for regular and portable health monitoring. Following this trend, smartphone photoplethysmography (PPG) has recently garnered prominence; however, the lack of robustness has prevented both researchers and practitioners from embracing this technology. This study aimed to bridge the gap in the literature by developing a novel smartphone PPG quality index (SPQI) that can filter corrupted data. A total of 226 participants joined the study, and results from 1343 samples were used to validate the proposed sinusoidal function-based model. In both the correlation coefficient and Bland–Altman analyses, the agreement between HRV measurements generated by both the smartphone PPG and the reference electrocardiogram improved when data were filtered through the SPQI. Our results support not only the proposed approach but also the general value of using smartphone PPG in HRV analysis.
has issue date	2020-03-30(xsd:dateTime)
bibo:doi	10.3390/s20071923
bibo:pmid	32235543
has license	cc-by
sha1sum (hex)	dc1fd12e3bac8b6f3d05ac66a8ac6614970dc4cf
schema:url	https://doi.org/10.3390/s20071923
resource representing a document's title	Enhancing the Robustness of Smartphone Photoplethysmography: A Signal Quality Index Approach
has PubMed Central identifier	PMC7181214
has PubMed identifier	32235543
schema:publication	Sensors (Basel)
resource representing a document's body	covid:dc1fd12e3bac8b6f3d05ac66a8ac6614970dc4cf#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/dc1fd12e3bac8b6f3d05ac66a8ac6614970dc4cf
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