According to foreign media reports, in the near future, Apple's iPhone and Apple Watch may be able to identify seizures and call for help.
Researchers at Johns Hopkins University in the United States have developed EpiWatch, an application that tracks and measures the symptoms of seizures, the first research-based application that uses both Apple's watches and sensors on mobile phones. In the future it may be able to run in the background and automatically alert caregivers.
Currently, patients need to activate the application before the onset of the condition begins. Many patients have a warning before the onset of the condition, which will help them start the application instantly. With sensors on mobile phones and watches, the app measures data on heart rate, movement, etc. during an episode. Apple's watch will also ask patients to see if they have received a warning.
The app is likely to be one of the first research and medical tracking tools designed to monitor the symptoms of various diseases in real time, from multiple sclerosis to heart disease to diabetes. There are also iPhone apps that offer Parkinson's and asthma tracking.
The EpiWatch app will allow users to record their type of seizures over time, which may help them identify the cause of the disease. The app can send SMS alerts to the caregiver when activated, but does not currently support automatic sending.
Nathan Crone, a professor of neurology, points out, "The idea is to try all the data first to develop algorithms that will prepare for future applications to detect the onset of symptoms and inform caregivers."
The EpiWatch app uses Apple's framework ResearchKit for medical researchers who want to take advantage of Apple devices. Compared to traditional clinical trials, ResearchKit collects data from thousands of people relatively easily.
Scientists at Duke University, the National Cancer Institute, and the Oregon Health and Science University also launched their own applications on Wednesday. Like EpiWatch, they are currently used more for research than for treatment or diagnosis.
Duke's application measures children's reactions to video, using the iPhone camera to read their facial expressions and identify their emotions. It is designed to investigate whether face recognition technology can be used to identify obstacles to development such as autism, but it is not currently a diagnostic tool.
Researchers at Johns Hopkins University in the United States say the first phase of the study is expected to last for about a year, hoping that thousands of people will use their applications. In the future, they say, their application may be used to monitor the side effects and efficacy of epilepsy drugs, to track whether patients take their medications on time, and to see if their condition is improving or worsening.
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