IP Library Granted Patent US 12702343
Granted Patent B2
US 12702343 · App. 18/849,580 · Granted Aug 11, 2026

Electrocardiogram evaluation method

Inventors: Yuan Luo (Tokyo, JP); Mitsuru Noma (Tokyo, JP); Osamu Hisamatsu (Tokyo, JP); Akihiko Shibano (Tokyo, JP); Hiroaki Kataoka (Tokyo, JP); Kosuke Nishihara (Tokyo, JP); Masahiro Kubo (Tokyo, JP)
Assignee: NEC CORPORATION
A61B5/346
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12702343
App. No.
18/849,580
Granted
Aug 11, 2026
Kind
B2
Abstract

An electrocardiogram evaluation apparatus of the present invention includes: an electrocardiogram acquiring unit that acquires electrocardiogram data measured from a person; a circumstance acquiring unit that acquires circumstance data representing a circumstance in which the electrocardiogram data has been measured; and an evaluating unit that evaluates the electrocardiogram data based on the circumstance data.

Claims (27)

1 . An electrocardiogram evaluation method comprising:

acquiring electrocardiogram data measured from a person;

acquiring circumstance data representing a circumstance in which the electrocardiogram data has been measured; and

determining a physical condition of the person in accordance with the circumstance data, selecting a model in accordance with the determined physical condition, and evaluating the electrocardiogram data based on output data that is output by inputting the electrocardiogram data into the selected model.

2 . The electrocardiogram evaluation method according to claim 1 , comprising

acquiring, as the circumstance data, data representing a course of events in which the electrocardiogram data has been measured from the person.

3 . The electrocardiogram evaluation method according to claim 1 , comprising acquiring, as the circumstance data, data representing a location in which the electrocardiogram data has been measured from the person.

4 . The electrocardiogram evaluation method according to claim 3 , comprising

acquiring the circumstance data based on data representing a sender of the electrocardiogram data.

5 . The electrocardiogram evaluation method according to claim 1 , comprising

acquiring the circumstance data from an electronic medical record of the person.

6 . The electrocardiogram evaluation method according to claim 1 , comprising

determining the physical condition based on record data about a body of the person.

7 . The electrocardiogram evaluation method according to claim 1 , comprising

changing a criterion for evaluating the electrocardiogram data in accordance with the determined physical condition.

8 . The electrocardiogram evaluation method according to claim 1 , comprising

selecting the model in accordance with the circumstance data, and evaluating the electrocardiogram data based on output data that is output by inputting the electrocardiogram data into the selected model.

9 . An electrocardiogram evaluation apparatus comprising:

at least one memory storing processing instructions; and

at least one processor configured to execute the processing instructions to:

acquire electrocardiogram data measured from a person;

acquire circumstance data representing a circumstance in which the electrocardiogram data has been measured; and

determine a physical condition of the person in accordance with the circumstance data, select a model in accordance with the determined physical condition, and evaluate the electrocardiogram data based on output data that is output by inputting the electrocardiogram data into the selected model.

10 . A non-transitory computer-readable storage medium storing a program comprising instructions for causing a computer to execute processes to:

acquire electrocardiogram data measured from a person;

acquire circumstance data representing a circumstance in which the electrocardiogram data has been measured; and

determine a physical condition of the person in accordance with the circumstance data, select a model in accordance with the determined physical condition, and evaluate the electrocardiogram data based on output data that is output by inputting the electrocardiogram data into the selected model.