@inproceedings{a5d118347f3845c9aafe2ad877cd4dc5,
title = "Piezologist: A Novel Wearable Piezoelectric-based Cardiorespiratory Monitoring System",
abstract = "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.",
keywords = "ECG waveform, Heartbeats, Home healthcare, Respiration rate, Sensors, Vital signs, biomedical signal processing, cardiorespiratory, heart rate extraction, mobile healthcare, wearable sensors",
author = "Ahmad, {Mahmoud Al} and Soha Ahmed",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018 ; Conference date: 03-07-2018 Through 05-07-2018",
year = "2018",
month = sep,
day = "14",
doi = "10.1109/INISTA.2018.8466275",
language = "English",
series = "2018 IEEE (SMC) International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Plamen Angelov and Tulay Yildirim and Lazaros Iliadis and Yannis Manolopoulos",
booktitle = "2018 IEEE (SMC) International Conference on Innovations in Intelligent Systems and Applications, INISTA 2018",
}