ECG Arrhythmia Classification using Mahalanobis-Taguchi System in a Body Area Network Environment

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
DOIs	https://doi.org/10.1109/GLOCOM.2015.7417699
Publication status	Published (in print/issue) - 2015

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@article{e457c471b30b4929a5f1c79f82a60124,

title = "ECG Arrhythmia Classification using Mahalanobis-Taguchi System in a Body Area Network Environment",

author = "Aftab Ali and Haldar, \{Nur Al Hasan\} and Khan, \{Farrukh Aslam\} and Sana Ullah",

year = "2015",

doi = "10.1109/GLOCOM.2015.7417699",

language = "English",

journal = "2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)",

issn = "2334-0983",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - ECG Arrhythmia Classification using Mahalanobis-Taguchi System in a Body Area Network Environment

AU - Ali, Aftab

AU - Haldar, Nur Al Hasan

AU - Khan, Farrukh Aslam

AU - Ullah, Sana

PY - 2015

Y1 - 2015

U2 - 10.1109/GLOCOM.2015.7417699

DO - 10.1109/GLOCOM.2015.7417699

M3 - Article

SN - 2334-0983

JO - 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

JF - 2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)

ER -