Published May 2, 2025 | Version v1
Dataset Open

Physiological and Mechanical Parameters Collected by the HEFMOB System During Patient Sessions

  • 1. Alicante Institute of Health and Biomedical Research (ISABIAL)
  • 2. Department of Physical Education and Sport, University of Valencia, Valencia, Spain
  • 3. ROR icon Instituto de investigación sanitaria y biomédica de Alicante
  • 4. Department of Sport Sciences, Sports Research Centre, Miguel Hernández University of Elche, Elche, Spain
  • 5. Technological Institute for Children's Products and Leisure (AIJU), Alicante, Spain.

Description

This dataset contains physiological and mechanical parameters collected using the HEFMOB prototype during exercise sessions with heart failure patients. Physiological parameters include blood oxygen saturation (SpO₂), heart rate (HR), and blood pressure (systolic and diastolic). Mechanical parameters include cycling speed and pedal resistance. Additional session-specific information includes timestamps, whether the session was paused or stopped, and target values for heart rate and speed. Data is organized per patient and per session.

Variables:

User_ID: Unique identifier for each patient

Timestamps: Time markers for each data point

HR: Heart rate (beats per minute)

Speed: Cycling speed (e.g., revolutions per minute or km/h)

Pedal_Resistance: Resistance level applied to the pedals (from 0 to 8)

Pause: Indicates if the session was paused (boolean or binary)

Stop: Indicates if the session was stopped (boolean or binary)

Target_HR: Target heart rate for the session

Target_Speed: Target speed for the session

Systolic_BP: Systolic blood pressure (mmHg)

Diastolic_BP: Diastolic blood pressure (mmHg)

Notes

This research was funded by the Instituto de Salud Carlos III (ISCIII), co-funded by the European Union (ERDF, “A way to make Europe”, grants numbers DTS21/00171 and DTS24/00015); the Institute for Health and Biomedical Research of Alicante (ISABIAL), grant number 2022-0336; the Valencia Region Innovation Agency (AVI), grant number INNVA1/2020/5; and the Valencian Government, grant number INVEST/2023/436

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Additional details

Related works

Is supplemented by
Dataset: 10.5281/zenodo.12161483 (DOI)
Dataset: 10.5281/zenodo.15323173 (DOI)