A Biosensor for Tracking Seizures: Linking a Wrist Accelerometer to an Online Epilepsy Diary
| Status: | Completed |
|---|---|
| Conditions: | Neurology, Neurology, Epilepsy |
| Therapuetic Areas: | Neurology, Other |
| Healthy: | No |
| Age Range: | 18 - 90 |
| Updated: | 4/2/2016 |
| Start Date: | June 2014 |
| End Date: | December 2015 |
| Contact: | Scheherazade Le, MD |
| Email: | schele@stanford.edu |
| Phone: | 6507236469 |
This study will assess whether a movement detecting wristwatch can accurately detect
seizures and seizure characteristics and record them into an online epilepsy diary. The
patients may manually record a description into the online epilepsy diary of the symptoms
they experienced before, during or after the seizure.
seizures and seizure characteristics and record them into an online epilepsy diary. The
patients may manually record a description into the online epilepsy diary of the symptoms
they experienced before, during or after the seizure.
Typically, health care providers receive inaccurate patient self- reports. This pilot trial
will document the feasibility of accurately recording and logging seizures into a
cloud-based diary, under circumstances of controlled video-EEG monitoring to serve as a
comparison "gold standard." More explicitly, we are testing the efficacy of the wristwatch
in capturing movement parameters correlated with seizure activity and whether these
parameters can be accurately uploaded into an online epilepsy diary. In the future,
biosensor data could be valuable to more precisely obtain seizure data for clinical decision
making as well as use in clinical trials.
will document the feasibility of accurately recording and logging seizures into a
cloud-based diary, under circumstances of controlled video-EEG monitoring to serve as a
comparison "gold standard." More explicitly, we are testing the efficacy of the wristwatch
in capturing movement parameters correlated with seizure activity and whether these
parameters can be accurately uploaded into an online epilepsy diary. In the future,
biosensor data could be valuable to more precisely obtain seizure data for clinical decision
making as well as use in clinical trials.
Inclusion Criteria:
-Adults over the age of 18 with known epileptic convulsive seizures already being admitted
to the EMU for continuous video EEG.
Exclusion Criteria:
- Patients with only non-convulsive events or only psychogenic non-epileptic seizures.
- Patients who are unable to provide consent.
- Patients who have developmental delay.
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