The founder of NeuroHelp and one of the researchers of Ben Gurion University in Israel have brought forward a device to detect epileptic seizures beforehand to reduce the onset. It aims to predict the occurrence of the seizures one hour before its outset by analyzing the brain activity of the patient.
According to recent researches, it has also been noted that approximately 30% of epileptic patients don't even respond to the anti-drugs sufficiently, which maximizes the frequent onsets also, making them inconvenient enough with fear. This prototype can alert them by the warnings, helping them in evading the possible outcomes or injuries of their potential seizures.
The recent reports provided by the developers state that this device is wearable that detect Electroencephalogram (EEG) electrodes to predict the upcoming onset of the seizure and sends the detected data along with the warming on the patient’s mobile phones, having a strong connection with the machine.
It can alert patients to take their prescribed medications on time, or either warn them of the attack so that they can make themselves safe or solely alert them to take the required precautions.
It works on the algorithms that have been tested and modified by the long term examination of the epileptic patients before their surgery with the help of the measured EEG informative data. The results have proved that the predicted data is 97% accurate, maintaining the optimal record based detecting performance of 95%.
It is reported that researchers from Louisiana University have also come forward with their Artificial Intelligence-based device nearly last year to detect the onset of epileptic attacks. This device had also warned the patients but just before the onset of the attacks. However, this Epiness prototype is an Electroencephalogram form of monitoring the activity of brain cells through the machine learning algorithms.
As claimed by Dr. Orshini, professor of the Cognitive department of the University of Israel, at times, there is not a single detecting device that can warn the patient altogether. The present ones only mark the seizure at the time of its occurrence or alert based on involuntary muscle movements. Epiness, therefore, is a new device of its type that not only detects and measures epileptic attacks but will also provide the chance to take the precautions one hour before the onset based on the abnormal brain activities.
He further states that they are confident with this device to be valuable enough for the patients. However, it is not available to the patients now. Yet, it will be sometimes soon as it has officially got permission for further advancements by clinical testing and trials of the device that have scheduled nearly this year.
Photo: CasarsaGuru/Getty
Read next: YouTube’s Popularity as a News Resource Could Lead to Widespread Misinformation, Conspiracy Theories
According to recent researches, it has also been noted that approximately 30% of epileptic patients don't even respond to the anti-drugs sufficiently, which maximizes the frequent onsets also, making them inconvenient enough with fear. This prototype can alert them by the warnings, helping them in evading the possible outcomes or injuries of their potential seizures.
The recent reports provided by the developers state that this device is wearable that detect Electroencephalogram (EEG) electrodes to predict the upcoming onset of the seizure and sends the detected data along with the warming on the patient’s mobile phones, having a strong connection with the machine.
It can alert patients to take their prescribed medications on time, or either warn them of the attack so that they can make themselves safe or solely alert them to take the required precautions.
It works on the algorithms that have been tested and modified by the long term examination of the epileptic patients before their surgery with the help of the measured EEG informative data. The results have proved that the predicted data is 97% accurate, maintaining the optimal record based detecting performance of 95%.
It is reported that researchers from Louisiana University have also come forward with their Artificial Intelligence-based device nearly last year to detect the onset of epileptic attacks. This device had also warned the patients but just before the onset of the attacks. However, this Epiness prototype is an Electroencephalogram form of monitoring the activity of brain cells through the machine learning algorithms.
As claimed by Dr. Orshini, professor of the Cognitive department of the University of Israel, at times, there is not a single detecting device that can warn the patient altogether. The present ones only mark the seizure at the time of its occurrence or alert based on involuntary muscle movements. Epiness, therefore, is a new device of its type that not only detects and measures epileptic attacks but will also provide the chance to take the precautions one hour before the onset based on the abnormal brain activities.
He further states that they are confident with this device to be valuable enough for the patients. However, it is not available to the patients now. Yet, it will be sometimes soon as it has officially got permission for further advancements by clinical testing and trials of the device that have scheduled nearly this year.
Photo: CasarsaGuru/Getty
Read next: YouTube’s Popularity as a News Resource Could Lead to Widespread Misinformation, Conspiracy Theories
