Epilepsy
Conditions
Keywords
Epilepsy, Seizures, Wrist accelerometer, Epilepsy diary, Seizure detection, Biosensor
Brief summary
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.
Detailed description
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.
Interventions
None listed
Sponsors
SmartMonitor
Stanford University
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Capture rate of convulsive seizure events by the watch and watch-diary interface compared to video electroencephalography (vEEG) | up to 7 days |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Frequency of movements of the watch diary interface vs vEEG | up to 7 days | — |
| Amplitude of movements of the watch diary interface vs vEEG | up to 7 days | — |
| Seizure semiology captured by the watch vs vEEG. | up to 7 days. | — |
| Specificity of audio recordings of the watch vs vEEG | up to 7 days | Will record audio through the watch and vEEG to assess the specificity of this parameter for epileptic vs nonepileptic seizures |
| Capture rate of non-seizure events by the watch and watch-diary interface compared to vEEG | up to 7 days | — |
Other
| Measure | Time frame | Description |
|---|---|---|
| Recording accuracy of partial seizures | up to 7 days | Will compare partial seizure events detected by vEEG vs. watch-diary vs. patient log vs. caregiver log |
| Feasibility of use of device | up to 7 days | Will survey whether the device was easy, neutral, difficult to use |
| Recording accuracy of convulsive seizure events by the watch and watch-diary interface compared to vEEG | up to 7 days | Will measure the date and time, duration and shake intensity of convulsive seizure events by the watch and watch-diary interface compared to vEEG |
Countries
United States
Outcome results
None listed