Auditory Orienting Response Data for Signal Analysis

Twenty-two healthy young male participants' physiological responses to 16 test sounds, measured via heart rate changes in a simulated daily environment. Mako Katagiri created this dataset to analyze carryover effects in auditory signal perception. The dataset was last updated in April 2026.

Use Cases

• Classify sounds as calming or tension-inducing based on positive or negative orienting response (OR) values.
• Analyze the reproducibility of the orienting response across 11 test sounds using the normalized RRI difference metric.
• Correlate sound frequency (130.8 Hz to 1661.4 Hz) and composition (musical vs. complex) with the strength of the physiological OR.
• Model the change in heart rate, calculated from the mean RR interval over five beats before and after sound presentation.
• Identify suitable pre-signals (e.g., C3+E3) or alarm signals (e.g., C6+G#6) based on their quantified OR values.

Strengths

• Data includes physiological measurements from 22 participants in a controlled, simulated daily-life environment.
• Test sounds are systematically defined with 8 musical and 8 complex sounds across a frequency range of 130.8 Hz to 1661.4 Hz.
• Experimental protocol was repeated after a washout period of at least one week, allowing for reproducibility analysis.

Limitations

• Dataset is very small at 19.8 KB, indicating limited sample size and scope for machine learning.
• Sample is geographically and demographically biased, consisting only of 22 healthy young male participants.
• Temporal coverage is limited to a specific experimental period without longitudinal or broader population data.

Provenance

Source

Mako Katagiri via figshare.

Collection Method

Experimental study measuring heart rate (RR interval) changes before and after presentation of test sounds in a simulated daily environment.

Time Range

Experimental period involved a three-day, two-night stay repeated after a one-week washout.

Freshness

Last updated in April 2026.