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Monitoring Motor Patterns of Epileptic Seizures Using Wearable Sensor Technologies Anthony Dalton,   PhD Candidate  Bioelectronics Research Cluster, NUIG, Ireland and  Department of Physical Medicine and Rehabilitation, Harvard Medical School, Motion Analysis Lab, Spaulding Rehabilitation Hospital P.I.: Prof. Paolo Bonato Shyamal Patel, Spaulding Rehabilitation Hospital
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Raw Accelerometry Data
Sammons Mapping
Feature Box Plots
Development of Spring Template
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Spring Template Box Plots
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The N810 has a 1500mAh Li-Ion battery; recharge time is ~2 hours. Test 1: Red Line. Settings: Wi-Fi On, Bluetooth On, CPU Policy: On Demand. Backlight: Full Brightness. Test 2: Green Line. Settings: Wi-Fi Off, Bluetooth Off, CPU Policy: PowerSave. Backlight: Minimum Brightness Test 3: Blue Line. Settings: Wi-Fi On, Bluetooth On, CPU Policy: Performance (400MHz). Backlight: Full Brightness.
Future Work Thank you ,[object Object],[object Object],[object Object],[object Object]

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Monitoring Motor Patterns of Epileptic Seziures using Wearable Sensor Technologies rev1.1

  • 1. Monitoring Motor Patterns of Epileptic Seizures Using Wearable Sensor Technologies Anthony Dalton, PhD Candidate Bioelectronics Research Cluster, NUIG, Ireland and Department of Physical Medicine and Rehabilitation, Harvard Medical School, Motion Analysis Lab, Spaulding Rehabilitation Hospital P.I.: Prof. Paolo Bonato Shyamal Patel, Spaulding Rehabilitation Hospital
  • 2.
  • 7.
  • 9.
  • 10. The N810 has a 1500mAh Li-Ion battery; recharge time is ~2 hours. Test 1: Red Line. Settings: Wi-Fi On, Bluetooth On, CPU Policy: On Demand. Backlight: Full Brightness. Test 2: Green Line. Settings: Wi-Fi Off, Bluetooth Off, CPU Policy: PowerSave. Backlight: Minimum Brightness Test 3: Blue Line. Settings: Wi-Fi On, Bluetooth On, CPU Policy: Performance (400MHz). Backlight: Full Brightness.
  • 11.