Low complexity algorithms for heart rate and epileptic seizure detection

Algorithm design for low power platforms is constrained by memory and computational limitations, and real-world 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 electro-corticogram (ECoG) data. The ECG algorithm was implemented on a TI MSP430-based platform and the ECoG algorithm was implemented (in simulation) on a Cortex M3 based ultra-low power device.

[1]  Lawrence R. Rabiner,et al.  On the use of autocorrelation analysis for pitch detection , 1977 .

[2]  W. J. Williams,et al.  Energy based detection of seizures , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[3]  R. Vullings,et al.  Heart Rate Detection in Low Amplitude Non-Invasive Fetal ECG Recordings , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  B. Litt,et al.  Automatic detection of high frequency epileptiform oscillations from intracranial EEG recordings of patients with neocortical epilepsy , 2005, 2005 IEEE Region 5 and IEEE Denver Section Technical, Professional and Student Development Workshop.

[5]  M. Haque,et al.  ECG PEAK DETECTION USING WAVELET TRANSFORM , 2004 .

[6]  D. S. Lee,et al.  Fast cross-correlation method for real time detection of fetal heart rate , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[7]  Ali H. Shoeb,et al.  Patient-specific seizure onset detection , 2004, Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[9]  I. Osorio,et al.  Real‐Time Automated Detection and Quantitative Analysis of Seizures and Short‐Term Prediction of Clinical Onset , 1998, Epilepsia.

[10]  M.N.S. Swamy,et al.  Detection of epileptic seizures in stereo-EEG using frequency-weighted energy , 2007, 2007 50th Midwest Symposium on Circuits and Systems.