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Article

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

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Department of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy
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BrainSigns srl, 00185 Rome, Italy
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Department of Business and Management, LUISS University, 00197 Rome, Italy
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Department of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy
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IRCCS Fondazione Santa Lucia, 00179 Rome, Italy
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People Advisory Services Department, Ernst & Young, 00187 Rome, Italy
*
Authors to whom correspondence should be addressed.
Academic Editors: Yvonne Tran and Ki H. Chon
Sensors 2021, 21(5), 1607; https://doi.org/10.3390/s21051607
Received: 25 January 2021 / Revised: 12 February 2021 / Accepted: 20 February 2021 / Published: 25 February 2021
(This article belongs to the Special Issue Deep Learning in Biomedical Informatics and Healthcare)
Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. Nevertheless, the existing applications necessarily require a contact between the patient and sensors for an objective evaluation of the patient’s state. The proposed study explored an innovative video-based solution for monitoring neurophysiological parameters of potential patients and assessing their mental state. In particular, we investigated the possibility to estimate the heart rate (HR) and eye blinks rate (EBR) of participants while performing laboratory tasks by mean of facial—video analysis. The objectives of the study were focused on: (i) assessing the effectiveness of the proposed technique in estimating the HR and EBR by comparing them with laboratory sensor-based measures and (ii) assessing the capability of the video—based technique in discriminating between the participant’s resting state (Nominal condition) and their active state (Non-nominal condition). The results demonstrated that the HR and EBR estimated through the facial—video technique or the laboratory equipment did not statistically differ (p > 0.1), and that these neurophysiological parameters allowed to discriminate between the Nominal and Non-nominal states (p < 0.02). View Full-Text
Keywords: facial video; healthcare; telemedicine; neurophysiological assessment; signal processing; heart rate; eye blinks; mental states evaluation facial video; healthcare; telemedicine; neurophysiological assessment; signal processing; heart rate; eye blinks; mental states evaluation
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MDPI and ACS Style

Ronca, V.; Giorgi, A.; Rossi, D.; Di Florio, A.; Di Flumeri, G.; Aricò, P.; Sciaraffa, N.; Vozzi, A.; Tamborra, L.; Simonetti, I.; Borghini, G. A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare. Sensors 2021, 21, 1607. https://doi.org/10.3390/s21051607

AMA Style

Ronca V, Giorgi A, Rossi D, Di Florio A, Di Flumeri G, Aricò P, Sciaraffa N, Vozzi A, Tamborra L, Simonetti I, Borghini G. A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare. Sensors. 2021; 21(5):1607. https://doi.org/10.3390/s21051607

Chicago/Turabian Style

Ronca, Vincenzo, Andrea Giorgi, Dario Rossi, Antonello Di Florio, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Alessia Vozzi, Luca Tamborra, Ilaria Simonetti, and Gianluca Borghini. 2021. "A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare" Sensors 21, no. 5: 1607. https://doi.org/10.3390/s21051607

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