US-20260123843-A1 - BLOOD PRESSURE PREDICTION SYSTEM AND OPERATING METHOD OF BLOOD PRESSURE PREDICTION SYSTEM

US20260123843A1US 20260123843 A1US20260123843 A1US 20260123843A1US-20260123843-A1

Abstract

A blood pressure prediction system includes a sensing device including a plurality of first electrodes for measuring an electrocardiogram (ECG) signal from a user and a second electrode for measuring a ballistocardiogram (BCG) signal from the user, and a blood pressure prediction apparatus that generates prediction data on a blood pressure of the user based on the ECG and BCG signals. The blood pressure prediction apparatus includes a communication device that receives the ECG and BCG signals from the sensing device, and a processor that acquires first and second sampling data based on the ECG and BCG signals, detects an R peak and a J peak from the first and second sampling data, calculates interval data based on the R and J peaks, and generates prediction data based on a blood pressure prediction equation and the interval data.

Inventors

Chan Hwa Hong
Hye Jin Kim

Assignees

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Dates

Publication Date: 20260507
Application Date: 20250812
Priority Date: 20241105

Claims (20)

1 . A blood pressure prediction system comprising: a sensing device including a plurality of first electrodes for measuring an electrocardiogram (ECG) signal from a user and a second electrode for measuring a ballistocardiogram (BCG) signal from the user; and a blood pressure prediction apparatus configured to generate prediction data on a blood pressure of the user based on the ECG and BCG signals, wherein the blood pressure prediction apparatus includes: a communication device configured to receive the ECG and BCG signals from the sensing device; and a processor configured to acquire first sampling data corresponding to the ECG signal and second sampling data corresponding to the BCG signal, detect an R peak and a J peak from the first sampling data and the second sampling data, calculate interval data based on the R peak and the J peak, and generate the prediction data based on a blood pressure prediction equation and the interval data.
2 . The blood pressure prediction system of claim 1 , wherein the processor configured to: determine whether the first sampling data and the second sampling data satisfy normal conditions; and detect the R peak and the J peak in response to determining that the normal conditions are satisfied.
3 . The blood pressure prediction system of claim 2 , wherein the processor determines that the normal conditions are satisfied if a standard deviation of first samples included in the first sampling data falls within a first normal range and a standard deviation of second samples included in the second sampling data falls within a second normal range.
4 . The blood pressure prediction system of claim 3 , wherein the processor configured to: detect, as the R peak, a first target sample among the first samples that has a first maximum value, exceeds a first threshold value, and has a distance from adjacent peaks greater than a minimum peak-to-peak distance, and detect, as the J peak, a second target sample among the second samples that has a second maximum value, exceeds a second threshold value, and has a distance from adjacent peaks greater than the minimum peak-to-peak distance.
5 . The blood pressure prediction system of claim 4 , wherein the processor configured to: determine whether the interval data satisfies a valid condition; and generate the prediction data in response to determining that the valid condition is satisfied.
6 . The blood pressure prediction system of claim 5 , wherein the processor determines that the valid condition is satisfied if the interval data falls within a valid time range.
7 . The blood pressure prediction system of claim 6 , further comprising a blood pressure monitor configured to acquire measurement data for the blood pressure, wherein the processor derives the blood pressure prediction equation based on the measurement data and the interval data.
8 . The blood pressure prediction system of claim 7 , wherein the processor generates physiological signal data including the prediction data, and wherein the blood pressure prediction apparatus further includes a multimedia output device configured to provide the physiological signal data to the user.
9 . The blood pressure prediction system of claim 8 , wherein the sensing device is attached in a direction toward the heart with reference to a center of the user's sternum.
10 . The blood pressure prediction system of claim 8 , wherein the physiological signal data includes at least one of the ECG signal, the BCG signal, or the measurement data.
11 . A method of operating a blood pressure prediction apparatus, the method comprising: receiving an electrocardiogram (ECG) signal and a ballistocardiogram (BCG) signal from an external sensing device; acquiring first sampling data and second sampling data based on the ECG and BCG signals, respectively; determining whether the first sampling data and the second sampling data satisfy normal conditions; detecting an R peak and a J peak from the first sampling data and the second sampling data in response to determining that the normal conditions are satisfied; calculating interval data based on the R peak and the J peak; determining whether the interval data satisfies a valid condition; and generating prediction data on a blood pressure of the user based on a blood pressure prediction equation and the interval data.
12 . The method of claim 11 , wherein the determining of whether the first sampling data and the second sampling data satisfy the normal conditions includes: determining whether a standard deviation of first samples included in the first sampling data falls within a first normal range; and determining whether a standard deviation of second samples included in the second sampling data falls within a second normal range.
13 . The method of claim 12 , wherein the R peak is a first target sample among the first samples that has a first maximum value, exceeds a first threshold value, and has a distance from adjacent peaks greater than a minimum peak-to-peak distance, and wherein the J peak is a second target sample among the second samples that has a second maximum value, exceeds a second threshold value, and has a distance from adjacent peaks greater than the minimum peak-to-peak distance.
14 . The method of claim 13 , wherein determining of whether the interval data satisfies the valid condition includes determining whether the interval data falls within a valid time range.
15 . The method of claim 14 , wherein the generating of the prediction data on the blood pressure of the user based on the blood pressure prediction equation and the interval data includes: acquiring measurement data for the blood pressure; and generating the blood pressure prediction equation based on the measurement data and the interval data.
16 . The method of claim 15 , further comprising: generating physiological signal data including the prediction data; and outputting the physiological signal data through a multimedia output device.
17 . A blood pressure prediction apparatus comprising: a communication device configured to receive an electrocardiogram (ECG) signal and a ballistocardiogram (BCG) signal of a user from an external sensing device; and a processor configured to acquire first sampling data corresponding to the ECG signal and second sampling data corresponding to the BCG signal, detect an R peak and a J peak from the first sampling data and the second sampling data, calculate interval data based on the R peak and the J peak, and generate prediction data on a blood pressure of the user based on a blood pressure prediction equation and the interval data.
18 . The blood pressure prediction apparatus of claim 17 , wherein the processor configured to: determine whether the first sampling data and second sampling data satisfy normal conditions; and detect the R peak and the J peak in response to determining that the normal conditions are satisfied.
19 . The blood pressure prediction apparatus of claim 18 , wherein the processor configured to: determine whether the interval data satisfies a valid condition: and generate the prediction data in response to determining that the valid condition is satisfied.
20 . The blood pressure prediction apparatus of claim 19 , further comprising a blood pressure monitor configured to acquire measurement data for the blood pressure, wherein the processor generates the blood pressure prediction equation based on the measurement data and the interval data.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application claims priority under 35 U.S.C. § 119 to Korean Patent Applications No. 10-2024-0155153 filed on Nov. 5, 2024, and No. 10-2025-0025276 filed on Feb. 26, 2025, in the Korean Intellectual Property Office, the disclosures of which are incorporated by reference herein in their entireties. BACKGROUND 1. Field of the Invention Embodiments of the present disclosure herein relate to physiological signal processing technology, and more particularly, relate to a blood pressure prediction system based on physiological signal processing and operating method of the blood pressure prediction system. 2. Description of Related Art Blood pressure is an important indicator of cardiovascular health and is essential for early detection and management of chronic diseases such as hypertension. Currently, blood pressure measurement mostly relies on a cuff-type blood pressure gauge. However, this approach makes continuous measurement difficult and can lead to inconvenience in use. Ballistocardiogram (BCG) and Electrocardiogram (ECG) are non-invasive methods of measuring cardiac activity based on minute movements of the heart and electrical signals, respectively, and the time difference between the main peaks (R peak of ECG and J peak of BCG) in the two signals is correlated with blood pressure. Conventional peak detection has been performed by acquiring data for a certain period of time and then predicting blood pressure through analysis of the stored data. This approach makes real-time blood pressure prediction difficult and requires calculating time differences for a large number of R-J values, resulting in time-consuming analysis. SUMMARY Embodiments of the present disclosure provide a blood pressure prediction system and an operating method of the blood pressure prediction system that predict blood pressure by precisely measuring the time difference between the R peak of the ECG signal and the J peak of the BCG signal. According to an embodiment of the present disclosure, a blood pressure prediction system comprises a sensing device including a plurality of first electrodes for measuring an electrocardiogram (ECG) signal from a user and a second electrode for measuring a ballistocardiogram (BCG) signal from the user, and a blood pressure prediction apparatus that generates prediction data on a blood pressure of the user based on the ECG and BCG signals. The blood pressure prediction apparatus includes a communication device that receives the ECG and BCG signals from the sensing device, and a processor that acquires first sampling data corresponding to the ECG signal and second sampling data corresponding to the BCG signal, detects an R peak and a J peak from the first sampling data and the second sampling data, calculates interval data based on the R peak and the J peak, and generates prediction data based on a blood pressure prediction equation and the interval data. According to an embodiment of the present disclosure, the processor determines whether the first sampling data and the second sampling data satisfy normal conditions, and detect the R peak and the J peak in response to determining that the normal conditions are satisfied. According to an embodiment of the present disclosure, the processor determines that the normal conditions are satisfied if a standard deviation of first samples included in the first sampling data falls within a first normal range and a standard deviation of second samples included in the second sampling data falls within a second normal range. According to an embodiment of the present disclosure, the processor detects, as the R peak, a first target sample among the first samples that has a first maximum value, exceeds a first threshold value, and has a distance from adjacent peaks greater than a minimum peak-to-peak distance, and detects, as the J peak, a second target sample among the second samples that has a second maximum value, exceeds a second threshold value, and has a distance from adjacent peaks greater than the minimum peak-to-peak distance. According to an embodiment of the present disclosure, the processor determines whether the interval data satisfies a valid condition, and generate the prediction data in response to determining that the valid condition is satisfied. According to an embodiment of the present disclosure, the processor determines that the valid condition is satisfied if the interval data falls within a valid time range. According to an embodiment of the present disclosure, the blood pressure prediction apparatus further includes a blood pressure monitor that acquires measurement data for the blood pressure. The processor derives the blood pressure prediction equation based on the measurement data and the interval data. According to an embodiment of the present disclosure, the processor generates physiological signal data including the prediction data. The blood pressure prediction apparatus further includes a m