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ASSISTIVE SYSTEM FOR EPILEPSY

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To propose a seizure prediction method through heart rate variability.To improve the quality of life of the patient through a simple electronic circuit.To incorporate GPS to trace out the exact location of the patient

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ASSISTIVE SYSTEM FOR EPILEPSY

  1. 1. ASSISTIVE SYSTEM FOR EPILEPSY
  2. 2. ABSTRACT  To propose a seizure prediction method through heart rate variability.  To improve the quality of life of the patient through a simple electronic circuit.  To incorporate GPS to trace out the exact location of the patient.
  3. 3. DESIGN  Heart beat sensor  Micro Electro Mechanical Sensor  Microcontroller  GSM Module  GPS Tracking System
  4. 4. HEART BEAT SENSOR  Change in blood volume through optical density.  Signal pulse = heart beat pulse  DC signal to AC signal. Courtesy : Google Images
  5. 5. ECG WAVEFORMS Courtesy : Google Images
  6. 6. WORKING  Acquire the sensor signals.  Process the signals using PIC18F4620.  Detection of abnormality through a capable algorithm.  Trigger the wireless transceiver.  Track the location.
  7. 7. BLOCK DIAGRAM
  8. 8. PROS & CONS  Non usage of EEG.  Comparatively low cost.  Non restrictive, portable.  Treatment on time.  Noise and temperature effect on the sensor outputs.  Need to be patient specific.
  9. 9. IMPROVEMENTS SUGGESTED  Internet of Things  Wearable device  Multi parameter acquisition  Vehicle controlled device  Improved prediction accuracy  Self treatment technique
  10. 10. FUTURE SCOPE Courtesy : Google Images
  11. 11. BIBLIOGRAPHY  Ali MOTIE NASRABADI, Antonio DOURADO, Nader JAFARNIA DABANLOO, SOROOR BEHBAHANI, ‘Prediction of Epileptic Seizures Based on Heart Rate Variability’, Technology and Healthcare 24 Journal, Volume 24, February 2016.  FARHADI H., MORIDANI M.K.,‘HEART Rate Variability as a Biomarker for Epilepsy Seizure Prediction’, Bratislava Medical Journal, Volume 118, January 2017.  Koichi Fujiwara, Miho MIYAJIMA, TOSHITAKA YAMAKAWA, Erika Abe, Yoko Suzuki, Yuriko Sawada, Manabu Kano, Taketoshi MAEHARA, KATSUYA OHTA, TAEKO SASAI-SAKUMA, ‘Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features’, Volume 63, June 2016
  12. 12. CONCLUSION  Optimized threshold, high dimensional time series analysis improve the performance of algorithm.  The clinical reliability depends upon the sensitivity and false positive rate.  The developing system has the potential for improving QoL of epileptic patients through real-time seizure warning.
  13. 13. THANK YOU
  • sathishsak

    Nov. 21, 2017

To propose a seizure prediction method through heart rate variability.To improve the quality of life of the patient through a simple electronic circuit.To incorporate GPS to trace out the exact location of the patient

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