Relationship between electrocardiogram-based features and personality traits: Machine learning approach.

ABSTRACT:

Background

Based on the known relationship between the human emotion and standard surface electrocardiogram (ECG), we explored the relationship between features extracted from standard ECG recorded during relaxation and seven personality traits (Honesty/humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, Openness, and Disintegration) by using the machine learning (ML) approach which learns from the ECG-based features and predicts the appropriate personality trait by adopting an automated software algorithm.

Methods

A total of 71 healthy university students participated in the study. For quantification of 62 ECG-based parameters (heart rate variability, as well as temporal and amplitude-based parameters) for each ECG record, we used computation procedures

SUBMITTER: Boljanic T 

PROVIDER: S-EPMC8739611 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature