Skip to main content

Ingenious new wearable tracks users’ brain waves to forecast epileptic seizures

Epilog Final Pitch Video

For people with epilepsy, the fear of suffering an unexpected seizure can be enough to stop them from venturing out in public. To help instill confidence, medical technology company Epitel has created a new wearable EEG which monitors brain wave activity to help forecast seizures. Using machine learning technology, the Epilog device pairs with users’ smartphones and the cloud, and uses artificial intelligence to predict when a seizure might occur. In doing so, it promises to create an hourly seizure forecast that will allow people with epilepsy (a condition an estimated 1 in 26 people will develop over their lifetime) to plan their day with confidence.

Recommended Videos

“Seizures are [typically] diagnosed through video and EEG monitoring in the hospital with 26-plus wired electrodes,” Mark Lehmkuhle, CEO and CTO of Epitel, told Digital Trends. “Once a diagnosis is made, the standard of care for long-term seizure tracking is literally pen and paper. These analog, old school, and wildly inaccurate ‘seizure diaries’ are what neurologists have based their decisions on for many years. We sought to build a seizure monitoring system that goes to the source – brain waves. Typical EEG is ugly and not usable for long periods outside of a hospital. It is meant to diagnose a seizure disorder and is not meant for long-term seizure tracking. We replace it with a device that is small and wearable.”

Epilog EEG Recording Demo

Lehmkuhle’s background is in biomedical engineering and neuroscience, and Epitel was created as a spin-off from the University of Utah, where some of the background research for the technology took place. Specifically, the research focused on finding better ways to track epileptic seizures since these rarely occur in the hospital where EEGs are typically taken.

As ever, we recommend that people use caution when it comes to crowdfunding projects, which can sometimes not ship on time, as promised, or occasionally at all. It’s also important to note that, although Epitel has won numerous awards in recent years, this tech still has yet to be officially classified as a medical device by the FDA. (Part of the reason for crowdfunding development is to drive FDA clearance.) Nonetheless, if you’re aware of these risks and still want to get involved, head over to Indiegogo where the project is currently raising funds. A two-pack of the device costs $350, with shipping planned for July 2020.

Luke Dormehl
Former Digital Trends Contributor
I'm a UK-based tech writer covering Cool Tech at Digital Trends. I've also written for Fast Company, Wired, the Guardian…
BYD’s cheap EVs might remain out of Canada too
BYD Han

With Chinese-made electric vehicles facing stiff tariffs in both Europe and America, a stirring question for EV drivers has started to arise: Can the race to make EVs more affordable continue if the world leader is kept out of the race?

China’s BYD, recognized as a global leader in terms of affordability, had to backtrack on plans to reach the U.S. market after the Biden administration in May imposed 100% tariffs on EVs made in China.

Read more
Tesla posts exaggerate self-driving capacity, safety regulators say
Beta of Tesla's FSD in a car.

The National Highway Traffic Safety Administration (NHTSA) is concerned that Tesla’s use of social media and its website makes false promises about the automaker’s full-self driving (FSD) software.
The warning dates back from May, but was made public in an email to Tesla released on November 8.
The NHTSA opened an investigation in October into 2.4 million Tesla vehicles equipped with the FSD software, following three reported collisions and a fatal crash. The investigation centers on FSD’s ability to perform in “relatively common” reduced visibility conditions, such as sun glare, fog, and airborne dust.
In these instances, it appears that “the driver may not be aware that he or she is responsible” to make appropriate operational selections, or “fully understand” the nuances of the system, NHTSA said.
Meanwhile, “Tesla’s X (Twitter) account has reposted or endorsed postings that exhibit disengaged driver behavior,” Gregory Magno, the NHTSA’s vehicle defects chief investigator, wrote to Tesla in an email.
The postings, which included reposted YouTube videos, may encourage viewers to see FSD-supervised as a “Robotaxi” instead of a partially automated, driver-assist system that requires “persistent attention and intermittent intervention by the driver,” Magno said.
In one of a number of Tesla posts on X, the social media platform owned by Tesla CEO Elon Musk, a driver was seen using FSD to reach a hospital while undergoing a heart attack. In another post, a driver said he had used FSD for a 50-minute ride home. Meanwhile, third-party comments on the posts promoted the advantages of using FSD while under the influence of alcohol or when tired, NHTSA said.
Tesla’s official website also promotes conflicting messaging on the capabilities of the FSD software, the regulator said.
NHTSA has requested that Tesla revisit its communications to ensure its messaging remains consistent with FSD’s approved instructions, namely that the software provides only a driver assist/support system requiring drivers to remain vigilant and maintain constant readiness to intervene in driving.
Tesla last month unveiled the Cybercab, an autonomous-driving EV with no steering wheel or pedals. The vehicle has been promoted as a robotaxi, a self-driving vehicle operated as part of a ride-paying service, such as the one already offered by Alphabet-owned Waymo.
But Tesla’s self-driving technology has remained under the scrutiny of regulators. FSD relies on multiple onboard cameras to feed machine-learning models that, in turn, help the car make decisions based on what it sees.
Meanwhile, Waymo’s technology relies on premapped roads, sensors, cameras, radar, and lidar (a laser-light radar), which might be very costly, but has met the approval of safety regulators.

Read more
Waymo, Nexar present AI-based study to protect ‘vulnerable’ road users
waymo data vulnerable road users ml still  1 ea18c3

Robotaxi operator Waymo says its partnership with Nexar, a machine-learning tech firm dedicated to improving road safety, has yielded the largest dataset of its kind in the U.S., which will help inform the driving of its own automated vehicles.

As part of its latest research with Nexar, Waymo has reconstructed hundreds of crashes involving what it calls ‘vulnerable road users’ (VRUs), such as pedestrians walking through crosswalks, biyclists in city streets, or high-speed motorcycle riders on highways.

Read more