MJN Neuroserveis is a healthcare company focused on epilepsy, specifically on predicting epileptic seizures to improve patient safety and quality of life. The company has developed mjn-SERAS, an intelligent earpiece device that continuously monitors the user’s brainwaves and detects early signs of an impending seizure, issuing alerts before the seizure strikes. This is one of the first wearable seizure warning systems, born from a founder’s personal drive to help his daughter with refractory epilepsy.

mjn-SERAS is worn like a regular earbud in the ear canal, where it records EEG signals via tiny electrodes touching the skin. The device uses on-board signal processing and connects to a smartphone app. Machine learning algorithms, trained on extensive EEG data, run in real-time to analyze the user’s brain activity for the specific electrical patterns that occur before a seizure (pre-ictal phase). When the system’s AI detects that a seizure is likely imminent, it sends an alert – for example, vibrating the earpiece and sending a notification to the user’s phone or caregiver’s phone. The advance warning could range from tens of seconds to a couple of minutes, depending on the individual’s EEG patterns. The device also logs the EEG data around events, helping neurologists better understand the patient’s seizure profile. Notably, mjn-SERAS has been clinically tested and was launched commercially in Spain (with CE marking in Europe), making it a practical tool already in use.

This technology is life-changing for people with unpredictable seizures, especially those at risk of falls, injuries, or SUDEP. With a timely warning, a person can move to a safe place, sit or lie down, and inform others – preventing harm that would occur if a seizure caught them unaware. Caregivers can also be alerted to assist. Beyond safety, the psychological benefit is huge: users report reduced anxiety as they no longer live in constant fear of when a seizure will hit. Data from the device can also guide treatment adjustments – e.g., if many pre-seizure alerts happen at certain times, medication schedules could be tweaked. Over time, the AI personalizes to the user, improving accuracy. mjn Neuroserveis exemplifies the merging of wearables and AI in neurology: a discreet device using advanced algorithms to predict a neurological event that once seemed wholly unpredictable. This not only enhances safety and independence for people with epilepsy but also opens the door to similar predictive solutions in other episodic conditions.