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Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions

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LieRHRV system for remote lie detection using heart rate variability parameters.

Moran Davoodi¹, Nitay Aspis^1,2, Yael Drori¹

¹Laboratory of Bioelectric and Bioenergetic Systems, Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.

Scientific Reports

|December 27, 2024

Summary

A new remote lie detection algorithm, LieRHRV, uses facial video to analyze heart rate variability (HRV). This contactless method shows high accuracy, offering a promising alternative to traditional polygraph testing.

Keywords:

Camera Machine learning Remote polygraph

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Area of Science:

Physiological measurement
Biometric security
Psychophysiology

Background:

Standard polygraph testing relies on physiological signals like heart rate, but has limitations including subjective interpretation and direct contact.
Remote photoplethysmography (rPPG) offers a contactless approach to measure physiological signals from facial videos, specifically heart rate variability (HRV).

Purpose of the Study:

To introduce and evaluate "LieRHRV," a novel lie detection algorithm based exclusively on HRV parameters extracted remotely from facial videos.
To assess the quality of HRV parameters derived from rPPG by comparing them with those from electrocardiography (ECG) and photoplethysmography (PPG).

Main Methods:

Compared HRV parameters from rPPG, ECG, and PPG using gold-standard datasets and a prospective study with 39 volunteers.
Developed and tested the LieRHRV algorithm using extracted HRV parameters for lie detection accuracy.
Evaluated algorithm performance against a baseline "naïve" model.

Main Results:

Demonstrated effective HRV parameter extraction from PPG and ECG, with comparable outcomes (60% average) in public datasets and (80%) in the prospective study.
LieRHRV achieved high accuracy: 91.7% (rPPG), 87.3% (PPG), and 83.3% (ECG), significantly outperforming the naïve model (67.0%, 61.0%, 58.3% respectively).

Conclusions:

LieRHRV is a feasible and effective remote lie detection algorithm utilizing HRV analysis from facial rPPG.
This contactless technology presents a significant advancement over traditional polygraph limitations, offering improved accuracy and user experience.