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Title:Feasibility of remote blood pressure estimation via narrow-band multi-wavelength pulse transit time
Authors:ID Slapničar, Gašper (Author)
ID Wang, Wenjin (Author)
ID Luštrek, Mitja (Author)
Files:URL URL - Source URL, visit https://dl.acm.org/doi/10.1145/3597302
 
.pdf PDF - Presentation file, download (1,06 MB)
MD5: 15B73BDBD853A3D18930CE55FD3AA370
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:Contact-free sensing gained much traction in the past decade. While remote monitoring of some parameters (heart rate) is approaching clinical levels of precision, others remain challenging (blood pressure). We investigated the feasibility of estimating blood pressure (BP) via pulse transit time (PTT) in a novel remote single-site manner, using a modified RGB camera. A narrow-band triple band-pass filter allowed us to measure the PTT between different skin layers, harvesting information from green and near-infrared wavelengths. The filter minimizes the inter-channel influence and band overlap, however some overlap remains within the filter bands. We further resolve this using a color-channel model and a novel channel-separation method. Using the proposed setup and algorithm, we obtained multi-wavelength (MW) PTTs in an experiment inducing BP changes to 9 subjects. The results showed good absolute Pearson’s correlation coefficient between both MW PTT and systolic BP (R = 0.61, p = 0.08) as well as diastolic BP (R = 0.54, p = 0.05), pointing to feasibility of the proposed novel remote MW BP estimation via PTT. This was further confirmed in a leave-one-subject-out experiment, where a simple Random Forest regression model achieved mean absolute errors of 3.59 and 2.63 mmHg for systolic and diastolic BP respectively.
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2023
Publisher:Association for Computing Machinery
Year of publishing:2023
Number of pages:str. 1-20
Source:Združene države Amerike
PID:20.500.12556/DiRROS-16729 New window
UDC:63:004
ISSN on article:1550-4867
DOI:doi.org/10.1145/3597302 New window
COBISS.SI-ID:159807235 New window
Copyright:© 2023 Copyright held by the owner/author(s).
Note:Nasl. z nasl. zaslona; Opis vira z dne 26. 7. 2023;
Publication date in DiRROS:27.07.2023
Views:364
Downloads:183
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Record is a part of a journal

Title:ACM transactions on sensor networks
Publisher:Association for Computing Machinery
ISSN:1550-4867
COBISS.SI-ID:521924633 New window

Secondary language

Language:Slovenian
Keywords:spremenjene kamere RGB, kanali, zbiranje, podatki, krvni tlak, meritve


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