Title,Publications,"Looking for Collaborations","Monitoring Category","Short Device Description","Company / Institution","Team Description","Website for device","Monitoring Category Description","How is the Device Worn? (Check All that Apply)","Device Worn description","If device is an implantable or external wearable, where on the body is it worn","Device Action (Check All that Apply)","Device action Description",About,"List of Publications","Is the device inter-operable with other devices","How is the Data from Device Transmitted to a Platform?" MJN-SERAS,N/A,Yes,EEG,"MJN-SERAS is a custom fit earpiece with 3 sensors to detect the brain activity and to warn the patient and caregivers between 1 and 3 minutes before of suffering a seizure. The earpiece and the algorithms are customized for each user. It also detects the seizures and creates reports for physicins to better help them to make their decision treatments.  ","MJN Neuroserveis","MJN was created in 2014 by David Blánquez, father of a girl with epilepsy and engineer, Xavier Raurich, electronic engineer and Salva Gutiérrez, economist. Currently, there is a team of 11 people working in the project, 5 engineers for software development, quality department and international relations, thanks to a grant of 1,8M€ from European Comission. These team is working with 3 PhD in University of Girona about Artificial Intelligence methodology, algorithms, research, machine learning and others applications. There is an Advisory Board of 4 people according for business development, artificial intelligent algorithms, medical aspects and associations. And finally we have created a Clinical Research Committee with 2 epileptologist, 1 neurophysiologist, 1 physician and 1 lawyer.",https://mjn.cat/en/,,"External Wearable",,"External wearable in the ear canal","Alert System for Caregiver, Alert System for Person Wearing the Device",,"Sent from the mobile phone via Wi-fi to a secure cloud platform","Not yet. Pending of review",Yes,"Bluetooth from the earpiece to the mobile app, algorithms already in the app without internet"