Fabien Massé
ABSTRACT
Recent advances in miniaturization of ultra-low power components allow for more intelligent wearable health monitors. Such systems may be used in a wide range of application areas. Here, the development and evaluation of a wireless wearable electrocardiogram (ECG) monitor to detect epileptic seizures from changes in the cardiac rhythm is described. The ECG is measured using an ultra-low-power circuit for bio-potential acquisition. The ECG data is continuously analyzed by embedded algorithms: a robust beat-detection algorithm combined with a real-time heart beat-based epileptic seizure detector. Each detected seizure candidate triggers its transmission to a receiving radio-station. At the same time, the detected events and the raw ECG data are stored on an embedded memory card from which they can be wirelessly downloaded for off-line analysis. The performance of the system in terms of power-consumption, robustness of the radio-link and comfort of use is reported. In its current implementation, the proposed ECG-monitor prototype has a size of 52x36x15mm3, and an autonomy of one day. Wireless, miniaturized and comfortable, this prototype opens new perspectives for continuous and ambulatory health monitoring.
- Sander JW. 2003. The epidemiology of epilepsy revisited. Curr Opin Neurol 16 (2): 165--70.Google Scholar
- Casson A. J., Rodriguez-Villegas E.: Toward online data reduction for portable electroencephalography systems in epilepsy. IEEE Trans Biomed Eng. 2009 Dec; 56(12).Google Scholar
- Raghunathan S, Gupta S. K., Ward M. P., Worth RM, Roy K., Irazoqui P. P.: The design and hardware implementation of a low-power real-time seizure detection algorithm. Journal of Neural Engineering. 2009 Oct; 6(5).Google Scholar
- Waterhouse E.: New horizons in ambulatory electroencephalography. Engineering in Medicine and Biology Magazine, IEEE, vol. 22 (2003), No. 3, pp. 74--80.Google ScholarCross Ref
- Patel K., Chua, C. P., Fau, S.; Bleakley, C. J.: Low power real-time seizure detection for ambulatory EEG. PervasiveHealth 2009.Google Scholar
- Casson A. J., Smith S., Duncan J. S., Rodriguez-Villegas E. Wearable EEG: what is it, why is it needed and what does it entail?: IEEE EMBS Conference 2008Google Scholar
- Nijsen TME, Arends J, Griep PAM, Cluitmans PJM: The possible value of 3D-accelerometry for detection of motor seizures in severe epilepsy. Epilepsy Behav 2005, 7(1), 74--84Google Scholar
- Zijlmans, M. and D. Flanagan, J. Gotman.: Heart rate changes and ECG abnormalities during epileptic seizures: prevalence and definition of an objective clinical sign. Epilepsia, Vol. 43 (2002), No. 8, p. 847--854.Google ScholarCross Ref
- Opherk, C. and J. Coromilas, L. J. Hirsch: Heart Rate and EKG changes in 102 seizures: analysis of influencing factors. Epilepsy Research, Vol. 52 (2002), p. 117--127.Google ScholarCross Ref
- Leutmezer, F. and C. Schernthaner, S. Lurger, K. Pötzelberger, C. Baumgartner: Electrocardiographic changes at the onset of the epileptic seizures. Epilepsia, Vol. 44 (2003), No. 3, p. 348--354.Google ScholarCross Ref
- Epstein, M. A. and M. R. Sperling, M. J. O'Connor. Cardiac rhythm during temporal lobe seizures. Neurology, Vol. 42 (1992), p. 50--53.Google ScholarCross Ref
- Blumhardt, L. D. and P. E. M. Smith, L. Owen: Electrocardiographic accompaniments of temporal lobe epileptic seizures. The Lancet, Vol. 1 (1986), p. 1051--1056.Google ScholarCross Ref
- Yazicioglu R. F., Torfs T., Penders J., Romero I., Kim H., Merken P., Gyselinckx B., Yoo H. J., and Van Hoof C.: Ultra-Low-Power Wearable Biopotential Sensor Nodes. 31st Annual International Conference of the IEEE EMBC 2009Google Scholar
- Van Elmpt W. J. C, Nijsen T. M. E, Griep P. A. M, Arends J.B.A.M.: A model of heart changes to detect seizures in severe epilepsy. Seizure (2006) 15, 366--375Google Scholar
- Kyriacou, E., Pattichis, C., Pattichis, M., Jossif, A., Paraskevas, L., Konstantinides, A., and Vogiatzis, D., An m-Health Monitoring System for Children with Suspected Arrhythmias. IEEE EMBC 2007Google Scholar
- Massot B., Gehin C, Nocua R., Andre Dittmar A, and Eric McAdams E, A wearable, low-power, health-monitoring instrumentation based on a Programmable System-on-Chip. IEEE EMBC 2009Google Scholar
- Chulsung Park, Chou, P. H., Ying Bai, Matthews, R., and Hibbs, A: An ultra-wearable, wireless, low power ECG monitoring system. BioCAS 2006Google Scholar
- Kucuk G. and Baaran C., "Reducing energy consumption of wireless sensor networks through processor optimizations", Journal of computers, vol. 2, no. 5, July 2007.Google ScholarCross Ref
- Yazicioglu R. F. et al.,: A 60 μW 60 nV/√Hz readout front-end for portable biopotential acquisition systems. IEEE ISSC Conf, 2006Google Scholar
- Texas Instruments, MSP430x1xx Family Users Guide, Available online at http://ti.com/msp430.Google Scholar
- Nordic Semiconductor, nRF24L01A Single Chip 2.4 GHz Radio Transceiver, Available online at http://www.nordicsemi.no/.Google Scholar
- Analog Devices ADXL330. Available online at: http://www.analog.comGoogle Scholar
- Romero I., Grundlehner B., Penders J.: Robust Beat Detector for Ambulatory Cardiac Monitoring. IEEE EMBC, 2009Google ScholarCross Ref
- Agilent Technologies, "DPO3034 Digital Phosphore Oscilloscope", Available online at http://www.agilent.comGoogle Scholar
- Texas Instruments, "TPS71501 Datasheet: Single Channel, Low-dropout Linear Regulator", available online at http://focus.ti.com/docs/prod/folders/print/tps71501.htmlGoogle Scholar
- J. Pan and W. J. Tompkins: A real-time qrs detection algorithm. IEEE Trans. Biomed. Eng., no. 3, pp. 230--236, March 1985Google ScholarCross Ref
Index Terms
- Miniaturized wireless ECG-monitor for real-time detection of epileptic seizures
Recommendations
Miniaturized wireless ECG monitor for real-time detection of epileptic seizures
Special Section on Wireless Health Systems, On-Chip and Off-Chip Network ArchitecturesRecent advances in miniaturization of ultra-low power components allow for more intelligent wearable health monitors. The development and evaluation of a wireless wearable electrocardiogram (ECG) monitor to detect epileptic seizures from changes in the ...
Focal epileptic seizures anticipation based on patterns of heart rate variability parameters
Highlights- It investigates heart activity abnormalities manifested in the HRV parameters and provides a comprehensive analysis of their patterns during pre-ictal and ...
Abstract Background and ObjectiveHeart rate variability parameters are studied by the research community as potential valuable indices for seizure detection and anticipation. This paper investigates heart activity abnormalities ...
Real-Time Seizure Detection Based on EEG and ECG Fused Features Using Gabor Functions
ICBMI '11: Proceedings of the 2011 International Conference on Intelligent Computation and Bio-Medical Instrumentationusing the scalp electroencephalogram (EEG) to detect seizure onsets that are not associated with rhythmic EEG activity is challenging. In this paper, we illustrate how supplementing the extracted information from the scalp EEG with the extracted ...
Comments