Olfactory stimuli with increasing molecular complexity increased physiological signal complexity, with strong correlations between ECG and GSR complexity metrics.
Observational
Does sniffing different odorants with increasing molecular complexity affect the correlation between skin and cardiac activity in healthy participants?
Olfactory stimuli with increasing molecular complexity induce coordinated autonomic and somatic responses, reflected by increased complexity in ECG and GSR signals.
This study investigates the correlation between skin and cardiac activity in response to different olfactory stimuli. It utilized nonlinear analytical techniques for signal evaluation. Electrocardiogram (ECG) and Galvanic Skin Response (GSR) signals were recorded from healthy participants during rest and while sniffing four different odorants with increasing molecular complexity, including Pineapple, Banana, Vanilla, and Lemon. Then, we computed fractal dimension, sample entropy, and Approximate Entropy (ApEn) for the R–R interval time series (obtained from ECG signals) and GSR signals. The results showed an increase in physiological signal complexity along with increasing molecular complexity of odors. Also, strong correlations were found between the complexity metrics of ECG and GSR signals, supporting coordinated autonomic and somatic responses. These findings indicate the importance of complexity-based approaches in decoding the correlation between different organs.
NAMAZI et al. (Wed,) conducted a observational in Healthy. Olfactory stimuli (Pineapple, Banana, Vanilla, and Lemon odorants) vs. Rest was evaluated on Correlation between complexity metrics of ECG and GSR signals. Olfactory stimuli with increasing molecular complexity increased physiological signal complexity, with strong correlations between ECG and GSR complexity metrics.
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