Heart Rate Physiology Data on Resting and Exercise Conditions

Juan Moises de la Serna Tuya provides a dataset on heart rate physiology, detailing the cardiac cycle and factors influencing heart rate. The data includes measurements of heart rate in beats per minute (BPM) across different physiological states such as rest, exercise, and for specific populations like newborns and athletes. It covers normal resting ranges (50-100 BPM), elevated rates for newborns (100-160 BPM), and lower rates for trained athletes (40-60 BPM).

Use Cases

• Analyze heart rate (BPM) variations between resting states and physical exercise to model cardiovascular response.
• Compare baseline heart rate distributions across population cohorts such as newborns and trained athletes using BPM measurements.
• Investigate conditions like bradycardia by identifying instances where recorded BPM falls below the 50 BPM threshold.
• Study the relationship between the cardiac cycle phases (systole and diastole) and the resulting pulse used for heart rate measurement.

Strengths

• Includes specific, medically relevant BPM ranges for normal adults (50-100 BPM), newborns (100-160 BPM), and athletes (40-60 BPM).
• Covers multiple physiological conditions including rest, relaxation, exercise, and pathological states like bradycardia.
• Authored by a named individual (Juan Moises de la Serna Tuya) and shared under a permissive CC BY 4.0 license.

Limitations

• The dataset's size, row count, column structure, and specific file formats are unknown, limiting assessment of its scale and usability.
• Lacks explicit information on data collection methodology, sample size, and potential geographic or demographic biases.
• The description is primarily explanatory, with no sample data provided to verify data quality, consistency, or presence of null values.

Provenance

Source

Juan Moises de la Serna Tuya via figshare

Collection Method

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Time Range

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Freshness

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Geography

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