Patents by Inventor Wouter Ouwekerk

Wouter Ouwekerk 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).

  • Patent number: 10702247
    Abstract: An automated workflow performed by software executing on at least one processor includes receiving a plurality of echocardiogram images taken by an ultrasound device. A filter separates the plurality of echocardiogram images by 2D images and Doppler modality images based on analyzing image metadata. The 2D images are classified by view type, and the Doppler modality images are classified by view type. The cardiac chambers are segmented in the 2D images, and the Doppler modality images are segmented to generate waveform traces, producing segmented 2D images and segmented Doppler modality images. Using both the sets of images, measurements of cardiac features for both left and right sides of the heart are calculated. The calculated measurements are compared with international cardiac guidelines to generate conclusions and a report is output showing the calculated measurements that fall both within and outside of the guidelines.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: July 7, 2020
    Assignee: EKO.AI PTE. LTD.
    Inventors: James Otis Hare, II, Paul James Seekings, Su Ping Carolyn Lam, Yoran Hummel, Jasper Tromp, Wouter Ouwekerk
  • Publication number: 20200178940
    Abstract: An automated workflow performed by software executing on at least one processor includes receiving a plurality of echocardiogram images taken by an ultrasound device. A filter separates the plurality of echocardiogram images by 2D images and Doppler modality images based on analyzing image metadata. The 2D images are classified by view type, and the Doppler modality images are classified by view type. The cardiac chambers are segmented in the 2D images, and the Doppler modality images are segmented to generate waveform traces, producing segmented 2D images and segmented Doppler modality images. Using both the sets of images, measurements of cardiac features for both left and right sides of the heart are calculated. The calculated measurements are compared with international cardiac guidelines to generate conclusions and a report is output showing the calculated measurements that fall both within and outside of the guidelines.
    Type: Application
    Filed: December 9, 2019
    Publication date: June 11, 2020
    Applicant: Eko.AI PTE. LTD.
    Inventors: James Otis HARE, II, Paul James SEEKINGS, Su Ping Carolyn LAM, Yoran HUMMEL, Jasper TROMP, Wouter OUWEKERK
  • Patent number: 10631828
    Abstract: An automated workflow performed by software executing on at least one processor includes receiving a plurality of echocardiogram images taken by an ultrasound device. A first filter separates the plurality of echocardiogram images by 2D images and Doppler modality images based on analyzing image metadata. A first neural network classifies the 2D images by view type, and a second neural network classifies the Doppler modality images by view type. A third neural network segments cardiac chambers in the 2D images and a fourth neural network segments the Doppler modality images to generate waveform traces, producing segmented 2D images and segmented Doppler modality images. Using both the sets of images, measurements of cardiac features for both left and right sides of the heart are calculated. The calculated measurements are compared with international cardiac guidelines to generate conclusions and a report is output highlighting the measurements that fall outside of the guidelines.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: April 28, 2020
    Assignee: EKO.AI PTE. LTD.
    Inventors: James Otis Hare, II, Paul James Seekings, Su Ping Carolyn Lam, Yoran Hummel, Jasper Tromp, Wouter Ouwekerk