DocumentCode :
262471
Title :
24.3 An implantable 64nW ECG-monitoring mixed-signal SoC for arrhythmia diagnosis
Author :
Dongsuk Jeon ; Yen-Po Chen ; Yoonmyung Lee ; Yejoong Kim ; Zhiyoong Foo ; Kruger, Grant ; Oral, Hakan ; Berenfeld, Omer ; Zhengya Zhang ; Blaauw, D. ; Sylvester, Dennis
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2014
fDate :
9-13 Feb. 2014
Firstpage :
416
Lastpage :
417
Abstract :
Electrocardiography (ECG) is a critical source of information for a number of heart disorders. In arrhythmia studies and treatment, long-term observation is critical to determine the nature of the abnormality and its severity. However, even small body-wearable systems can impact a patient´s everyday life and signals captured using such systems are prone to noise from sources such as 60Hz power and body movement. In contrast, implanted devices are less susceptible to these noise sources and, while having closer-spaced electrodes, can obtain similar quality ECG signals due to their proximity to the heart [1]. In addition, implanted devices enable continuous monitoring without affecting patient quality of life. As in other implantable systems, low power consumption is a critical factor; in this case to provide a sufficiently long operating time between wireless recharge events.
Keywords :
bioelectric potentials; biomedical electrodes; body sensor networks; diseases; electrocardiography; medical disorders; medical signal detection; medical signal processing; patient monitoring; arrhythmia diagnosis; arrhythmia treatment; body movement; body-wearable systems; electrocardiography; electrodes; frequency 60 Hz; heart disorders; implantable ECG-monitoring mixed-signal SoC; low power consumption; noise sources; power 64 nW; Batteries; Electrocardiography; Monitoring; Noise; Power demand; System-on-chip; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2014 IEEE International
Conference_Location :
San Francisco, CA
ISSN :
0193-6530
Print_ISBN :
978-1-4799-0918-6
Type :
conf
DOI :
10.1109/ISSCC.2014.6757494
Filename :
6757494
Link To Document :
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