Blood pressure surge pattern detection system

Patent metadata

Field	Value
Publication number	US-12029590-B2
Application number	US-201916561506-A
Country	US
Kind code	B2
Filing date	Sep 5, 2019
Priority date	Mar 15, 2017
Publication date	Jul 9, 2024
Grant date	Jul 9, 2024

Abstract

The features of blood pressure surges are classified based on blood pressure information, which is one type of biological information. An information processing apparatus includes a classification unit configured to classify a blood pressure surge determined with reference to time-series data of blood pressure values that change in conjunction with heartbeats, into one or more patterns based on a feature point and a feature amount that characterize the blood pressure surge; and a display unit configured to, upon one of the classified patterns being selected, display a waveform that corresponds to the selected pattern, or display a period in the time-series data to which the waveform corresponds.

First claim

The invention claimed is:

1. An information processing apparatus comprising:
a blood pressure measurement apparatus configured to take a blood pressure continuously;
a memory that stores a plurality of patterns each representing a blood pressure surge pattern among a plurality of blood pressure surge patterns, and the measured blood pressure as time-series data for a predetermined length of time;
a display; and
a processor configured to process the time-series data of the measured blood pressure and configured to:
generate an envelope curve connecting systolic blood pressure values in the time-series data of the measured blood pressure;
identify, within the envelope curve, a peak point, an elevation time from a first predetermined low level point, which is a start point, before the peak point to the peak point, and a lowering time from the peak point to a second predetermined low level point, which is an end point, after the peak point;
detect one blood pressure surge pattern along the envelope curve based on an analysis of the peak point, the elevation time, and the lowering time, the one blood pressure surge pattern extending from the first predetermined low level point to the second predetermined low level point; and
select a blood pressure surge pattern among the plurality of blood pressure surge patterns that matches with the one blood pressure surge pattern, and control the display to display the time-series data of the measured blood pressure and a period in the time-series data in which the one blood pressure surge pattern appeared, together with the selected pattern.

2. The information processing apparatus according to claim 1 , wherein the processor is further programed to
display the time-series data of the measured blood pressure in a graph.

3. The information processing apparatus according to claim 1 ,
wherein the processor is further configured to detect the one blood pressure surge pattern when the envelope curve includes:
a time period corresponding to the elevation time that is greater than a first threshold;
a pressure difference between a blood pressure value at the start point and a blood pressure value at the peak point that is greater than a second threshold; and
a time period corresponding to the lowering time that is greater than a third threshold.

4. The information processing apparatus according to claim 3 , wherein
the first threshold includes a first predetermined plural number of heartbeats; and
the third threshold includes a second predetermined plural number of heartbeats.

5. An information processing method comprising the steps of:
measuring blood pressure with a blood pressure measurement apparatus continuously;
storing, in a memory, a plurality of patterns each representing a blood pressure surge pattern among a plurality of blood pressure surge patterns, and the measured blood pressure as time-series data for a predetermined length of time;
with a processor:
generating an envelope curve connecting systolic blood pressure values in the time-series data of the measured blood pressure;
identifying, within the envelope curve, a peak point, an elevation time from a first predetermined low level point, which is a start point, before the peak point to the peak point, and a lowering time from the peak point to a second predetermined low level point, which is an end point, after the peak point;
detecting one blood pressure surge pattern along the envelope curve based on an analysis of the peak point, the elevation time, and the lowering time, the one blood pressure surge pattern extending from the first predetermined low level point to the second predetermined low level point; and
selecting blood pressure surge pattern among the plurality of blood pressure surge patterns that matches with the one blood pressure surge pattern; and

displaying, on a display, the time-series data of the measured blood pressure and a period in the time-series data in which the one blood pressure surge pattern appeared, together with the selected pattern.

6. The method according to claim 5 , further comprising detecting, with the processor, the one blood pressure surge pattern given that the envelope curve includes:
a time period corresponding to the elevation time that is greater than a first threshold;
a pressure difference between a blood pressure value at the start point and a blood pressure value at the peak point that is greater than a second threshold; and
a time period corresponding to the lowering time that that is greater than a third threshold.

7. The method according to claim 6 , wherein
the first threshold includes a first predetermined plural number of heartbeats; and
the third threshold includes a second predetermined plural number of heartbeats.

Assignees

• Omron Healthcare Co Ltd

Inventors

• KOKUBO Ayako
• Wada Hirotaka
• Nakajima Hiroshi

Classifications

• A61B5/742 Primary

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/02108

  from analysis of pulse wave characteristics · CPC title

• A61B5/6824

  Arm or wrist · CPC title

• A61B5/7264 Primary

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title

• A61B5/022

  by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers · CPC title