Academic Journal

Review on Data Acquisition of Electrocardiogram Biometric Recognition in Wearable Smart Textile Shirts

التفاصيل البيبلوغرافية
العنوان: Review on Data Acquisition of Electrocardiogram Biometric Recognition in Wearable Smart Textile Shirts
المؤلفون: Nawawi, Muhammad Muizz Mohd, Sidek, Khairul Azami, Dafhalla, Alaa K Y, Azman, Amelia Wong
المصدر: Journal of Physics: Conference Series ; volume 1900, issue 1, page 012019 ; ISSN 1742-6588 1742-6596
بيانات النشر: IOP Publishing
سنة النشر: 2021
الوصف: Electrocardiogram (ECG) wearable smart textile shirt has widely been investigated due to its high flexibility, reusability, comfort, and the possibility of being used for home-based, real-life activities and real-time measurement. ECG smart textile shirt is an embedded textile sensor inside a cloth that can capture ECG data in more convenient ways and ease user-friendly, especially for continuous and long-term ECG data acquisition outside the laboratory environment. However, the current challenge with ECG smart textile shirt is the reliability and quality of data acquired by the wearable smart textile. This review will mainly focus on the research strategies in the early stages regarding data acquisitions in ECG smart textile shirt. It will introduce researchers’ data acquisition methods in the biometric recognition system using wearable ECG smart textile. The Scopus and Mendeley databases review may help future researchers consider different parameters, which affect the reliability and data quality when selecting data acquisitions strategies in a biometric recognition system using wearable ECG smart textile shirt.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1088/1742-6596/1900/1/012019
DOI: 10.1088/1742-6596/1900/1/012019/pdf
الاتاحة: http://dx.doi.org/10.1088/1742-6596/1900/1/012019
https://iopscience.iop.org/article/10.1088/1742-6596/1900/1/012019
https://iopscience.iop.org/article/10.1088/1742-6596/1900/1/012019/pdf
Rights: http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
رقم الانضمام: edsbas.B26F5D07
قاعدة البيانات: BASE
الوصف
DOI:10.1088/1742-6596/1900/1/012019