@inproceedings{fc1c95c5ec64420ebc62b5df717a58f4,
title = "A ±6ms-accuracy, 0.68mm2and 2.21μW QRS detection ASIC",
abstract = "Healthcare issues arose from population aging. Meanwhile, electrocardiogram (ECG) is a powerful measurement tool. The first step of ECG is to detect QRS complexes. A state-of-the-art QRS detection algorithm was modified and implemented. By the dedicated architecture design, the novel ASIC is proposed with 2.21 μW power consumption and 0.68mm2 core area. It is the smallest QRS detection ASIC so far in the world. In addition, the positive prediction of the ASIC is 99.36% based on the MIT/BIH arrhythmia database certification.",
author = "Wang, {Hui Min} and Lai, {You Liang} and Hou, {Mark C.} and Lin, {Shih Hsiang} and Yen, {Brad S.} and Huang, {Yu Chieh} and Chou, {Lei Chun} and Hsu, {Shao You} and Sheng-Chieh Huang and Jan, {Ming Yie}",
year = "2010",
month = aug,
day = "31",
doi = "10.1109/ISCAS.2010.5537250",
language = "English",
isbn = "9781424453085",
series = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems",
pages = "1372--1375",
booktitle = "ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems",
note = "2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010 ; Conference date: 30-05-2010 Through 02-06-2010",
}