首页|New Epilepsy Study Results from College of Engineering Pune Described (Multireso lution Directed Transfer Function Approach for Segment-wise Seizure Classificati on of Epileptic Eeg Signal)

New Epilepsy Study Results from College of Engineering Pune Described (Multireso lution Directed Transfer Function Approach for Segment-wise Seizure Classificati on of Epileptic Eeg Signal)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ce ntral Nervous System Diseases and Conditions- Epilepsy. According to news repor ting originating in Maharashtra, India, by NewsRx journalists, researchstated, “Currently, with the bloom in artificial intelligence (AI) algorithms, various h uman-centered smartsystems can be utilized, especially in cognitive computing, for the detection of various chronic brain diseasessuch as epileptic seizure. T he primary goal of this research article is to propose a novel human-centeredco gnitive computing (HCCC) method for segment-wise seizure classification by emplo ying multiresolutionextracted data with directed transfer function (DTF) featur es, termed as the multiresolution directedtransfer function (MDTF) approach.”

MaharashtraIndiaAsiaCentral Nervou s System Diseases and ConditionsEpilepsyHealth and MedicineCollege of Engi neering Pune

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.12)