DocumentCode
1785021
Title
ECG monitoring techniques using advanced signal recovery and arm worn sensors
Author
Lynn, William D. ; Escalona, Omar J. ; McEneaney, David J.
Author_Institution
Sch. of Eng., Univ. of Ulster, Newtownabbey, UK
fYear
2014
fDate
2-5 Nov. 2014
Firstpage
51
Lastpage
55
Abstract
Techniques for monitoring ambulatory patients have advanced greatly over the past 10 years. The advent of pocket computing, in the form of cellular phone technology, being one of the prime drivers. Until recently there was a great functional deficit in the performance of the average portable microprocessor and that which was used in the personal desktop computer. Today, smart phones have 1GHz processors and use multicore configurations. Memory has accelerated at a similar rate, with 128Gb flash memory being common place. The following paper discusses the viability of an arm worn `smart´ device for monitoring cardiac dysrhythmia and or electrocardiographic dysmorphia. As there is particular interest from the medical community in the field of monitoring of paroxysmal atrial fibrillation; the proposed technology will be a front line diagnostic tool for primary care clinicians, allowing them to offer a non-surgical, long term monitor. Alternatively, the commercial possibilities of marketing a clinical quality, `smart band´ cardiac monitor into the consumer space are immense. This paper deals with emerging digital signal processing techniques as well as discussing the underlying hardware requirements that may allow the full realisation of this new technology.
Keywords
biomedical equipment; body sensor networks; diseases; electrocardiography; medical signal processing; patient monitoring; portable computers; portable instruments; smart phones; ECG monitoring techniques; advanced signal recovery; ambulatory patient monitoring; arm worn sensors; arm worn smart device; average portable microprocessor; cardiac dysrhythmia monitoring; cellular phone technology; clinical quality marketing; digital signal processing; electrocardiographic dysmorphia; flash memory; frequency 1 GHz; front line diagnostic tool; hardware requirements; medical community; nonsurgical long term monitor; paroxysmal atrial fibrillation monitoring; personal desktop computer; pocket computing; primary care clinicians; prime drivers; smart band cardiac monitor; smart phones; Biomedical monitoring; Electrocardiography; Electrodes; Heart; Monitoring; Signal to noise ratio; DSP; ECG; dry electrode; dysrhythmia; long QT; long term monitor;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location
Belfast
Type
conf
DOI
10.1109/BIBM.2014.6999267
Filename
6999267
Link To Document