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Multimodal Dataset of In-Home Physiological and Inertial Measurements from Older Heart Failure Patients

Author

Listed:
  • Marcin Kolakowski

    (Institute of Radioelectronics and Multimedia Technology, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00665 Warsaw, Poland)

  • Vitomir Djaja-Josko

    (Institute of Radioelectronics and Multimedia Technology, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00665 Warsaw, Poland)

  • Jerzy Kolakowski

    (Institute of Radioelectronics and Multimedia Technology, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00665 Warsaw, Poland)

  • Irina Georgiana Mocanu

    (Computer Science Department, Faculty of Automatic Control and Computers, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania
    Centrul IT Pentru Stiinta si Tehnologie (CITST), 020771 Bucharest, Romania)

  • Oana Cramariuc

    (Centrul IT Pentru Stiinta si Tehnologie (CITST), 020771 Bucharest, Romania)

  • Ian Perera

    (Department of Internal Medicine and Gerontology, Faculty of Medicine, Jagiellonian University Medical College, 31530 Krakow, Poland)

  • Jerzy Gąsowski

    (Department of Internal Medicine and Gerontology, Faculty of Medicine, Jagiellonian University Medical College, 31530 Krakow, Poland)

  • Karolina Piotrowicz

    (Department of Internal Medicine and Gerontology, Faculty of Medicine, Jagiellonian University Medical College, 31530 Krakow, Poland)

Abstract

Numerous studies have shown that remote monitoring of heart failure patients can reduce hospital readmission rates and mortality. This dataset includes multimodal physiological and inertial signals (acceleration and angular velocity data) recorded with PerHeart—a remote health monitoring platform intended for heart failure patients. In the pilot, which took place in Poland, 27 participants’ health was monitored for one month using the platform with commercially available devices (blood pressure meters, pulse oximeters, bathroom scales, thermometers, and glucometers), resulting in over four thousand physiological measurements. Eight adults were additionally monitored for gait and activity analysis using custom wrist sensors with inertial measurement units, yielding 2536 h of movement data collected over 204 days with almost 690,000 steps detected.

Suggested Citation

  • Marcin Kolakowski & Vitomir Djaja-Josko & Jerzy Kolakowski & Irina Georgiana Mocanu & Oana Cramariuc & Ian Perera & Jerzy Gąsowski & Karolina Piotrowicz, 2026. "Multimodal Dataset of In-Home Physiological and Inertial Measurements from Older Heart Failure Patients," Data, MDPI, vol. 11(5), pages 1-16, May.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:5:p:106-:d:1936644
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