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Acquisition and synchronisation of cardiography signals from a clinical patient monitor with facial video recordings

Meher, Jagmohan (author)
Department of Mechanical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan, Taiwan
Wang, Chien-Chih (author)
Department of Mechanical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan, Taiwan
Nordling, Torbjörn E. M. (author)
Umeå universitet,Institutionen för tillämpad fysik och elektronik,Department of Mechanical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan, Taiwan
Department of Mechanical Engineering, National Cheng Kung University, No 1 University Rd., Tainan, Taiwan Institutionen för tillämpad fysik och elektronik (creator_code:org_t)
Springer Nature, 2024
2024
English.
In: International Conference on Biomedical and Health Informatics 2022. - : Springer Nature. - 9783031592157 - 9783031592164 ; , s. 254-261
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • A far too frequent practical challenge in clinical informatics research and method development for acquiring vital signs is the extraction and synchronisation of signals from proprietary devices for the clinical monitoring of patients. In an ongoing study evaluating methods for video-based remote photoplethysmography (rPPG), we needed to extract ground truth values of electrocardiogram (ECG) and pulse oximetry (SpO2) signals from the Philips vitals monitor while recording the facial video of the subject, simultaneously. This ground truth data will be used to train the model that will perform rPPG. Various software can extract data from the Philips vitals monitor with features like data acquisition, parsing, and visualisation, but they lack synchronisation with the facial video. Therefore, we developed the Patient Monitor Data Extractor (PMDE), which collects data from the Philips IntelliVue monitors following the Data export interface programming guide provided by Philips. We set up a DHCP server on a Windows 7 computer with a webcam and interfaced with the monitor through LAN with UDP/IP. We used C++ and Windows Sockets API to develop our software and communicate over UDP. For synchronisation with the video cameras, we turned off the light in the room and used this sudden brightness drop as a trigger. The timestamp of the monitor was recorded when the webcam detected the trigger. The PMDE software records ECG at 500 Hz and SpO2 at 125 Hz with a synchronisation error of less than two sampling periods, which is about 40 ms for a 50 fps video. We conclude that PMDE is uniquely suited for recording data for rPPG evaluation because of its synchronisation feature. We have used PMDE to collect a dataset of facial videos with ground truth ECG and SpO2 signals. We intend to make PMDE available as open source to save other researchers time.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Clinical informatics
data extraction
patient monitor
remote photoplethysmography (rPPG)
software
vital signs

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Wang, Chien-Chih
Nordling, Torbjö ...
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