Patents by Inventor Hoohyun KIM

Hoohyun KIM has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHOD AND APPARATUS FOR DETECTING ATRIAL FIBRILLATION BY USING DEEP LEARNING
    Publication number: 20250032034
    Abstract: Disclosed is an atrial fibrillation discriminating apparatus using deep learning being capable of performing learning whether atrial fibrillation, which is a type of arrhythmia, occurs on the basis of deep learning, by applying a segmentation scheme to an ECG wave to quickly classify fibrillation waves on the basis of an ROI (Region of Interest) section in an ECG wave, thereby detecting the atrial fibrillation.
    Type: Application
    Filed: December 17, 2021
    Publication date: January 30, 2025
    Applicant: SEERSTECHNOLOGY CO.,LTD.
    Inventors: Youngshin LEE, Hoohyun KIM, Heeseok SONG, Kunwook CHO
  • METHOD AND DEVICE FOR CLASSIFYING ELECTROCARDIOGRAM WAVEFORM BY USING MACHINE LEARNING
    Publication number: 20250032051
    Abstract: Disclosed is an apparatus for electrocardiogram (ECG) wave classification using machine learning being capable of applying a segmentation technique to an ECG wave, checking a feature for each section of a P wave, a Q wave, an R wave, an S wave, a T wave, and a noise wave included in the ECG wave, quickly classifying heart beats into a normal beat (N), a supraventricular beat(S), a ventricular beat (V), and noise, and removing the noise to make medical decisions quickly and accurately.
    Type: Application
    Filed: December 17, 2021
    Publication date: January 30, 2025
    Applicant: SEERSTECHNOLOGY CO.,LTD.
    Inventors: Youngshin LEE, Hoohyun KIM, Heeseok SONG, Kunwook CHO
  • METHOD AND APPARATUS FOR VISUALIZING ELECTROCARDIOGRAM USING DEEP LEARNING
    Publication number: 20230060007
    Abstract: Disclosed are a method and apparatus for visualizing an electrocardiogram using deep learning. The present embodiment provides a method and apparatus for visualizing an electrocardiogram, the method and apparatus which analyze an electrocardiogram using a deep learning algorithm for accurate arrhythmia determination as a real-time operation algorithm for monitoring a bedridden patient in order to solve the manpower shortage of medical staff, and then visually output it in real time so that a visual help may be provided for medical staff.
    Type: Application
    Filed: December 29, 2020
    Publication date: February 23, 2023
    Inventors: Youngshin LEE, Heeseok SONG, Hoohyun KIM