Patents by Inventor Michael SINGLE

Michael SINGLE 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).

  • Asynchronous intercorrelated time series datasets alignment method
    Patent number: 12717876
    Abstract: A computer-implemented method for aligning intercorrelated asynchronous time series datasets includes the steps of: (a) retrieving a first time series dataset (x) and a second time series dataset (y), the first and second time series dataset being intercorrelated, (b) segmenting each of the first and second time series dataset (x, y) into a plurality of consecutive smaller segments (xi, yi), all segments of the first and second time series dataset (x, y) having the same length, (c) determining pairs of corresponding segments by associating successive segments of the first time series dataset (x) with corresponding segments of the second time series dataset (y), (d) optimizing, for each pair of corresponding segments, a correlation function to obtain an approximation of a first times series transformation function (f1) and of a second time series transformation function (f2), (e) using the first and second time series transformation functions (f1,f2) to determine a vector of segment shifts (s) whose compone
    Type: Grant
    Filed: February 8, 2022
    Date of Patent: August 25, 2026
    Assignees: DOMOHEALTH SA, UNIVERSITÄT BERN
    Inventors: Narayan Schütz, Angela Botros, Philipp Buluschek, Guillaume DuPasquier, Michael Single, Stephan Gerber, Tobias Nef
  • ASYNCHRONOUS INTERCORRELATED TIME SERIES DATASETS ALIGNMENT METHOD
    Publication number: 20240248954
    Abstract: A computer-implemented method for aligning intercorrelated asynchronous time series datasets includes the steps of: (a) retrieving a first time series dataset (x) and a second time series dataset (y), the first and second time series dataset being intercorrelated, (b) segmenting each of the first and second time series dataset (x, y) into a plurality of consecutive smaller segments (xi, yi), all segments of the first and second time series dataset (x, y) having the same length, (c) determining pairs of corresponding segments by associating successive segments of the first time series dataset (x) with corresponding segments of the second time series dataset (y), (d) optimizing, for each pair of corresponding segments, a correlation function to obtain an approximation of a first times series transformation function (f1) and of a second time series transformation function (f2), (e) using the first and second time series transformation functions (f1,f2) to determine a vector of segment shifts (s) whose compone
    Type: Application
    Filed: February 8, 2022
    Publication date: July 25, 2024
    Inventors: Narayan SCHÜTZ, Angela BOTROS, Philipp BULUSCHEK, Guillaume DuPASQUIER, Michael SINGLE, Stephan GERBER, Tobias NEF