Developing a system to predict seizures using electronic diaries and biosensor data
Non-Invasive Seizure Forecasting System Using E-Diaries, Internal and External Factors
This study is looking to help people with epilepsy by developing a new way to predict seizures using easy-to-use electronic diaries and data from wearable devices, so you can better manage your condition and stay safe.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Beth Israel Deaconess Medical Center NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11121877 on NIH RePORTER |
What this research studies
This research aims to create a non-invasive method for predicting seizures in individuals with epilepsy by utilizing electronic diaries (e-diaries) and data from wearable biosensors. The project will first validate the accuracy of seizure forecasts based solely on e-diary entries, which capture internal factors related to seizure risk. Subsequently, the research will enhance these forecasts by incorporating external factors such as sleep patterns, medication adherence, stress levels, and weather conditions. The goal is to improve the accuracy of seizure predictions, potentially leading to better management of epilepsy for patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with epilepsy who are willing to participate in monitoring their seizure activity through e-diaries and wearable biosensors.
Not a fit: Patients who do not have epilepsy or those who are unable to use electronic diaries and biosensors may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could provide patients with epilepsy a reliable tool for predicting seizures, allowing for better management and improved quality of life.
How similar studies have performed: Previous research has shown promise in using machine learning for seizure prediction, but this approach of combining e-diaries with biosensor data is relatively novel.
Where this research is happening
Boston, United States
- Beth Israel Deaconess Medical Center — Boston, United States (Active)
Researchers
- Principal investigator: Goldenholz, Daniel M — Beth Israel Deaconess Medical Center
- Study coordinator: Goldenholz, Daniel M
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.