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This video describes a real operating experience of the mjn-SERAS device to assess the risk of epilepsy crisis. The device is a headset that collects the brain activity of the person and thanks...

2023年4月5日 · The main objective of this study is to determine whether the mjn-SERAS artificial intelligence algorithm developed by MJN Neuroserveis, can detect seizures early using patient-specific data to create a personalized mathematical model based on EEG training, defined as the programmed recognition of oncoming seizures before they are primarily ...

2023年4月5日 · Specifically, the automated mjn-SERAS AI algorithm achieved a sensitivity of 94.7% (95 %; CI 94.67–94.73), and an F-Score representing specificity of 92.2% (95 %; CI 92.17–92.23) compared to the reference performance represented by a mean (harmonic mean or average) and a positive predictive value of 91%, with a false positive rate of 0.55 ...

2023年1月1日 · The main aim of our study was to determine if the mjn-SERAS artificial intelligence algorithm (developed by MJN Neuroserveis) shows an accurate detection of seizures in previously diagnosed drug-resistant epilepsy patients using a video-EEG training set and whether it is appropriate for real-time use.

2023年3月21日 · 验证用于检测和预测癫痫耐药患者癫痫发作的 Mjn-SERAS 解决方案，在他们的日常活动中，找出正常环境中的影响。 建议进行一项前瞻性、多中心、上市后试点临床研究，以在日常生活中验证一种医疗设备 (mjn-SERAS)，该设备已在欧洲得到验证和认证。 患者关于癫痫的特征、耐药性癫痫、研究的纳入和排除标准。 这项新的验证将在参与者的标准化环境中进行，参与者年龄在 12 至 65 岁之间，男女均被诊断为耐药性癫痫，以确定 mjn-SERAS 对癫痫发作早 …

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mjn-SERAS is a new medical device from mjn-neuro. It has been developed during more than 4 years of technical evolution. The artificial intelligence algorithm that continuously assesses the risk of epileptic seizures runs in real time in the mjn-SERAS application on the user’s cell phone.

mjn-SERAS is a healthcare product that sends a warning signal when the risk of epileptic seizures is high, to the affected person and their trusted contacts. Sign up now! Tu nombre

2023年3月21日 · Clinical Study for the Validation of the Medical Device Mjn-SERAS for the Detection and Prediction of Epileptic Seizures in Individuals from 12 to 65 Years, Suffering from Drug-resistant Epilepsy During Their Day-to-day Activity, to Find Out the Impact of the Digital Solution in the Quality of Life in a Normalised Environment and Provide ...