Nippon Telegraph and Telephone had 238 patents in artificial intelligence during Q2 2024. The patents filed by Nippon Telegraph and Telephone Corp in Q2 2024 include methods for estimating electromotive force in electrocardiographic potentials, a learning apparatus for answering questions based on text evidence, a data processing system for generating event information from collected data, a text generation apparatus using neural networks, and a control device for automating tasks without analyzing communication protocols. GlobalData’s report on Nippon Telegraph and Telephone gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Nippon Telegraph and Telephone had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Heart's electromotive force estimation method, heart's electromotive force estimation apparatus and program (Patent ID: US20240206796A1)
The patent filed by Nippon Telegraph and Telephone Corp. describes an electromotive force estimation method for electrocardiographic potentials. The method involves dividing the time series of the electrocardiographic potential into depolarization, refractory, and repolarization periods, estimating electromotive force time series for each period based on the corresponding electrocardiographic potential time series, and using bijective mapping for estimation. The method aims to accurately estimate electromotive force at various time points during different phases of the cardiac cycle.
Additionally, the patent includes claims detailing the specific steps involved in the electromotive force estimation method, such as acquiring electrocardiographic potential time series, classifying data into different periods, estimating electromotive force based on adjacent potential differences, using machine learning for estimation, and utilizing a constant for calculation. The patent also covers an electromotive force estimation device that implements the method described, as well as a computer-readable medium containing instructions for executing the method on a computer. Overall, the patent focuses on a comprehensive approach to estimating electromotive force in electrocardiographic potentials, aiming to improve accuracy and efficiency in cardiac monitoring and analysis.
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