کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6884681 | 1444343 | 2018 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
PEA: Parallel electrocardiogram-based authentication for smart healthcare systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: PEA: Parallel electrocardiogram-based authentication for smart healthcare systems PEA: Parallel electrocardiogram-based authentication for smart healthcare systems](/preview/png/6884681.png)
چکیده انگلیسی
Currently, ECG-based authentication is considered highly promising in terms of user identification for smart healthcare systems because of its inimitability, suitability, accessibility and comfortability. However, it is a great challenge to improve the authentication accuracy, especially for scenarios that include a large number of users. Thus, this paper proposes a parallel ECG-based authentication called PEA. Specifically, this paper proposes a hybrid ECG feature extraction method that integrated fiducial- and non-fiducial-based features to extract more comprehensive ECG features and thereby improve the authentication stability. Furthermore, this paper proposes a parallel ECG pattern recognition framework to improve the recognition efficiency in multiple ECG feature spaces. Through the experiments, the performance of the proposed authentication is verified.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Network and Computer Applications - Volume 117, 1 September 2018, Pages 10-16
Journal: Journal of Network and Computer Applications - Volume 117, 1 September 2018, Pages 10-16
نویسندگان
Yin Zhang, Raffaele Gravina, Huimin Lu, Massimo Villari, Giancarlo Fortino,