Johns Hopkins epilepsy study is the first ResearchKit app to gather data using Apple Watch


EpiWatch is an epilepsy research study monitoring seizure symptoms using Apple Watch with an aim to improving seizure detection and medication adherence, as well as enhancing the quality of life for those who suffer from seizures.


Reasearchers at Johns Hopkins have introduced an EpiWatch app, designed to use Apple Watch to collect patient data through the open source ResearchKit framework designed by Apple. The app, which runs on Apple Watch and iPhone, collects data from patients with epilepsy before, during and after their seizures.

EpiWatch gathers data including physiological changes, altered responsiveness and other characteristics of recurrent seizures, which will be used to aid research concerned with understanding epilepsy and developing new methods for monitoring and managing the illness.

“Physicians often ask patients to record their seizures. But that can be hard, especially when a patient loses consciousness. EpiWatch collects data that help researchers better understand epilepsy, while helping patients keep a more complete history of their seizures,” says Gregory Krauss, professor of neurology at the Johns Hopkins University School of Medicine. “The app also provides helpful tracking of seizures, prescription medication use and drug side effects — activities that are important in helping patients manage their condition.”

Johns Hopkins’ EpiWatch modules enable research participants to complete an interactive, informed consent; track their seizures in real time, including prompts on the Apple Watch testing awareness; and answer research surveys and other tasks. Users can review their data and compare their symptoms to others in their demographic with similar seizures.

The back-end data solution is being provided by Acuma Health, a division of Smart Monitor, via a secure health informatics platform that protects patient information and provides custom analytics dashboards to researchers.

The app’s journaling function prompts users to answer a series of questions daily:

  • Have you had a seizure today? If so, what type of seizure was it?
  • Did you take your medication? If not, why not?

“Many patients have a brief lapse of awareness during their seizures that may not be apparent to them or to others around them,” says Nathan E. Crone, associate professor of neurology at the Johns Hopkins University School of Medicine. “EpiWatch allows patients to find out for themselves if this is a problem so they can get more help.”

EpiWatch is most appropriate for patients with epilepsy who may experience an “aura” warning them of an oncoming seizure. The user – or a caregiver — can tap an icon on the watch face to activate the app, which then starts recording heart rate and movements. The app also requests patient participation in a specialised memory game to evaluate patient responsiveness during the seizure. It is the first medical research app to include such a cognitive test.

Krauss and Crone have been working with developers at THREAD Research to build EpiWatch. The app makes use of many of the Apple Watch sensors — such as the accelerometer, which detects movements, and the gyroscope, which determines orientation in space — to measure and record movements and falls during seizures. The app also uses Apple Watch’s heart rate monitor, to track associated heart rate changes.

Krauss expects that, after a year or two of data collection, Johns Hopkins will be able to develop an app that can detect most seizure types and generate an alert to notify caregivers and emergency personnel, if needed. This could not only be potentially lifesaving, but also allow people with epilepsy to have more freedom, claims Krauss.

“We foresee the app giving some parents the confidence to allow their children to play on their own,” Krauss says. “For some adults, using it might allow them, for the first time, to live safely alone.”