Correction: Systolic blood pressure estimation method using electrocardiogram RRI data

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Authors: Etsunori Fujita, Ryuichi Uchikawa, Yumi Ogura, Yoshika Nobuhiro, Shinichiro Maeda, Shigeyuki Kojima, Koji Maeno, Shigeyuki Igarashi, Teruyo Kitahara, Hiroji Tsujimura, Kazushi Taoda, Tomohiko Kisaka
+2 more Kohji Murata, Masao Yoshizumi
Cited by: 0

Abstract

The original version of this Article contained an error in Fig. 7 , where it was truncated so that part (1) of Fig. 7 was not published. The incorrect Fig. 7 along with its caption is provided below. Fig. 7 Three-dimensional response surface (SBP, GT of LTM, GT of STM), correlation diagram of SBP-e SBP, error analysis diagram (137 subjects, 225 cases). The three-dimensional response surface is created by curve-fitting using the least squares method. The characteristics of the surface are indicated with a quartic polynomial, and using this quartic polynomial enabled us to estimate SBP. On the three-dimensional response surface (1), the dispersion of blood pressure is large between normotension and high normotension. On the correlation diagram of SBP-e SBP (2) and error analysis diagram (3), the dispersion up to high blood pressure is large. It is known that the heartbeat 1/f fluctuation contributes to the stabilization of blood pressure. Accordingly, this means that there is little 1/f fluctuation in this range. From the correlation diagrams of Mean-SD in Fig. 1 and in Fig. 2, it indicated that the dispersion of heartbeat rhythms was large in the 225 cases. It is assumed that the expanse of the dispersion of SBP between 110 and 140 mmHg was due that the 1/f fluctuation of heartbeat from nervous control was reflected on GTs. Full size image

Fields of Study & Subjects

Non-Invasive Vital Sign Monitoring Heart Rate Variability and Autonomic Control ECG Monitoring and Analysis

Publication details

Journal / source
Scientific Reports
Volume
16
Issue
1
Pages
6630–6630
Publication date
17 February 2026
Language
EN