Ulster University Logo

ECG monitoring techniques using advanced signal recovery and arm worn sensors

Lynn, WD, Escalona, OJ and McEneaney, DJ (2014) ECG monitoring techniques using advanced signal recovery and arm worn sensors. In: 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)., Belfast, UK. IEEE. 5 pp. [Conference contribution]

[img] PDF - Published Version

DOI: 10.1109/BIBM.2014.6999267


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.

Item Type:Conference contribution (Paper)
Keywords:DSP; ECG; dry electrodes; dysrhythmia; long QT; long term monitor; body sensor networks; heart disease; electrocardiography; medical signal processing; patient monitoring; portable computers; portable instruments.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:31860
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:23
Last Modified:08 Feb 2016 14:23

Repository Staff Only: item control page