{"id":13528,"date":"2019-01-30T11:29:34","date_gmt":"2019-01-30T10:29:34","guid":{"rendered":"https:\/\/www.cosinuss.com\/?post_type=avada_portfolio&p=13528"},"modified":"2022-08-30T09:26:48","modified_gmt":"2022-08-30T07:26:48","slug":"epileptic-seizure-detection","status":"publish","type":"avada_portfolio","link":"https:\/\/www.cosinuss.com\/en\/portfolio-items\/epileptic-seizure-detection\/","title":{"rendered":"Study: Early detection of epileptic seizures (EPItect)"},"content":{"rendered":"

Nursing support for people with epilepsy through innovative ear sensor technology (EPItect)<\/p><\/h2><\/div>

Within the EPItect research project, a non-invasive sensor system is being developed to detect epileptic seizures based on relevant biosignal patterns. An automatic and reliable seizure detection is of central importance for the correct adjustment of the patient’s medication and is a great help for the patient’s nursing environment.
\n<\/strong><\/p>\n<\/div>

<\/div><\/div><\/div><\/div><\/div>

Background<\/h2><\/div>

According to the World Health Organization (WHO), there are 50 million people worldwide with epilepsy. All age groups and sexes are affected. By disrupting brain signals, epilepsy causes seizures of varying severity. Many people with epilepsy are able to live a largely normal life and perform the same activities as others. However, some epileptics may be severely affected in their lives because of frequent seizures.<\/p>\n<\/div>

<\/div><\/div><\/div><\/div><\/div>

Motivation and challenge<\/h2><\/div>

Epileptic seizures are sometimes associated with considerable risks and can lead to accidents with serious injuries. For this reason it is important to recognise epileptic seizures in good time in order to take appropriate safety precautions. In addition, automatic and reliable seizure detection is essential for effective medication of patients. In practice, EEG (electroencephalography) is most frequently used for seizure detection. By measuring and monitoring brain waves, seizures can be predicted. However, the fact that this type of monitoring can only be carried out as an in-patient in hospital is a major limitation. Up to now, there is no technical solution for seizure detection in the everyday life of patients. Seizures are independently documented by the patients themselves by means of a hand log. However, these hand logs do not offer sufficient reliability due to the high susceptibility to errors. According to a study<\/span>1<\/sup><\/a><\/span>, only 44.5% of seizures are registered in this way.<\/p>\n<\/div>

<\/div><\/div><\/div><\/div><\/div>

Goals<\/h2><\/div>

With the help of the earconnect\u2122 technology from cosinuss\u00b0, the aim is to revolutionize seizure detection for epilepsy patients in everyday life:<\/p>\n