Evidence map›Paper›PMID 33668921›Full record

ArticleSensors (Basel, Switzerland)2021

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

Vincenzo Ronca, Andrea Giorgi, Dario Rossi, Antonello Di Florio, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Alessia Vozzi, Luca Tamborra, Ilaria Simonetti and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Vincenzo RoncaDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy.ORCID 0000-0002-7174-6331
Andrea GiorgiBrainSigns srl, 00185 Rome, Italy.
Dario RossiDepartment of Business and Management, LUISS University, 00197 Rome, Italy.
Antonello Di FlorioBrainSigns srl, 00185 Rome, Italy.
Gianluca Di FlumeriBrainSigns srl, 00185 Rome, Italy.ORCID 0000-0003-4426-051X
Pietro AricòBrainSigns srl, 00185 Rome, Italy.ORCID 0000-0002-3831-6620
Nicolina SciaraffaBrainSigns srl, 00185 Rome, Italy.
Alessia VozziDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy.
Luca TamborraDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy.
Ilaria SimonettiDepartment of Anatomical, Histological, Forensic and Orthopaedic Sciences, Sapienza University, 00185 Rome, Italy.
Gianluca BorghiniDepartment of Molecular Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-8560-5671

Funding

Horizon 2020 Framework Programme 723386Horizon 2020 Framework Programme 814961Horizon 2020 Framework Programme 826232Horizon 2020 Framework Programme 894238Horizon 2020 Framework Programme 950998
6 · The paper itself

Abstract

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 (

Indexed as

Heart RateTelemedicineVideo RecordingAdultBlinkingFemaleHumansMaleeye blinksfacial videohealthcareheart ratemental states evaluationneurophysiological assessmentsignal processingtelemedicine

Identifiers

PMID33668921
PMCPMC7956514

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.