Abstract: The present invention relates to a method of analysing cardiac data relating to a patient, comprising: providing cardiac data relating to the patient—optionally by using a means for providing physiological data (20); determining one or more properties of the data, wherein the or each property is determined over a particular context length, the context length being selected based on the or each property—optionally using an analysis module (24); comparing the or each property against a respective predetermined threshold value, thereby to indicate a probability of the patient experiencing a cardiac event—optionally using a means for providing an output (26); and providing an output based on the comparison. A system and apparatus corresponding to this method is also disclosed.
Type:
Grant
Filed:
March 7, 2018
Date of Patent:
November 15, 2022
Assignee:
Transformative AI LTD
Inventors:
Marek Sirendi, Joshua Steven Oppenheimer, Marek Rei
Abstract: The present invention relates to a method of analysing cardiac data relating to a patient, comprising: providing cardiac data relating to the patient—optionally by using a means for providing physiological data (20); determining one or more properties of the data, wherein the or each property is determined over a particular context length, the context length being selected based on the or each property—optionally using an analysis module (24); comparing the or each property against a respective predetermined threshold value, thereby to indicate a probability of the patient experiencing a cardiac event—optionally using a means for providing an output (26); and providing an output based on the comparison. A system and apparatus corresponding to this method is also disclosed.
Type:
Application
Filed:
August 7, 2019
Publication date:
November 18, 2021
Applicant:
Transformative AI LTD
Inventors:
Marek SIRENDI, Joshua Steven OPPENHEIMER, Marek REI
Abstract: The present invention relates to a method of analysing cardiac data relating to a patient, comprising: providing cardiac data relating to the patient—optionally by using a means for providing physiological data (20); determining one or more properties of the data, wherein the or each property is determined over a particular context length, the context length being selected based on the or each property—optionally using an analysis module (24); comparing the or each property against a respective predetermined threshold value, thereby to indicate a probability of the patient experiencing a cardiac event—optionally using a means for providing an output (26); and providing an output based on the comparison. A system and apparatus corresponding to this method is also disclosed.
Type:
Application
Filed:
March 7, 2018
Publication date:
January 9, 2020
Applicant:
Transformative AI LTD
Inventors:
Marek SIRENDI, Joshua Steven OPPENHEIMER, Marek REI