Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System

Mahmoud F Al Ahmad, Soha Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)


In this paper, the design, prototyping and software development of a novel wearable cardiorespiratory parameters monitoring sensor and software applications is illustrated. Piezologist is an unobtrusive chest worn device. It comprises a patch-type sensor and a mobile application. The sensor utilizes piezoelectric material as the cardiorespiratory signal sensing component and MetaWearC board as the signal acquisition unit. The board also comes with Bluetooth Low Energy (BLE) support which is utilized for the raw signal transmission. The novelty aspect of the system rests on the fact that not only using a single cheap piezoelectric sheet common cardiorespiratory parameters (such as heart rate, respiration rate, and cycles) were obtained similar to previous studies but ECG waveform and blood pressure data were also extracted successfully using the same sensor. In addition, sensor packaging design and prototyping and their effect on the acquired signal strength on one hand and the package size (volume and weight) on the other hand were studied and reported. For performance validation purpose, the developed cardiorespiratory monitoring sensor system results were validated against two commercial sensor devices namely 3-lead ECG sensor from eHealth sensor kit and Zephyr belt-type BioHarness sensor, and the results were reported herein. The validation process outcomes confirmed that the cardiorespiratory signals extracted using Piezologist conform with a heartbeat, respiratory cycle and ECG waveform obtained using the commercial sensors. Furthermore, a usability study was conducted to compare the user experience offered by Piezologist against commercially available sensors for measuring cardiorespiratory parameters. The study highlighted the potential that Piezologist will take over the commercial available belt-type, watch-type and 3-lead ECG sensors.

Original languageEnglish
Title of host publication2018 IEEE (SMC) International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018
EditorsPlamen Angelov, Tulay Yildirim, Lazaros Iliadis, Yannis Manolopoulos
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651506
Publication statusPublished - Sept 14 2018
Event2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018 - Thessaloniki, Greece
Duration: Jul 3 2018Jul 5 2018


Other2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018


  • biomedical signal processing
  • cardiorespiratory
  • ECG waveform
  • heart rate extraction
  • Heartbeats
  • Home healthcare
  • mobile healthcare
  • Respiration rate
  • Sensors
  • Vital signs
  • wearable sensors

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization


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