2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies 2009
DOI: 10.1109/isabel.2009.5373634
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Low complexity algorithms for heart rate and epileptic seizure detection

Abstract: Algorithm design for low power platforms is constrained by memory and computational limitations, and realworld applications demand robust performance. This paper presents two algorithms that were designed with the view that simplicity can translate to robustness. The first algorithm processes electrocardiogram (ECG) signals to detect QRS complexes reliably in the presence of significant noise. The second algorithm is a low-cost approach to detecting seizure onset from electrocorticogram (ECoG) data. The ECG al… Show more

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Cited by 7 publications
(2 citation statements)
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“…This section describes the top-level design aspects of the system architecture. An orthogonal strategy to maximize energy efficiency is the use of dedicated hardware blocks [9], [18], [20], [30], [34] to efficiently support computationally-intensive segments of applications.…”
Section: Proposed System Architecturementioning
confidence: 99%
“…This section describes the top-level design aspects of the system architecture. An orthogonal strategy to maximize energy efficiency is the use of dedicated hardware blocks [9], [18], [20], [30], [34] to efficiently support computationally-intensive segments of applications.…”
Section: Proposed System Architecturementioning
confidence: 99%
“…We consider if the performance variation of the GOFA caused by the oscillator error is tolerable, the performance variation of other detection algorithms caused by the oscillator error is also tolerable. In addition, the complexity of the GOFA is relatively low, so that it has been used in an embedded device after partial modifications [3,[18][19].…”
Section: Introductionmentioning
confidence: 99%