Literature DB >> 17926688

Accuracy assessment of a noninvasive device for monitoring beat-by-beat blood pressure in the radial artery using the volume-compensation method.

Shinobu Tanaka1, Masamichi Nogawa, Takehiro Yamakoshi, Ken-Ichi Yamakoshi.   

Abstract

For the noninvasive and accurate measurement of instantaneous blood pressure (BP) in the radial artery, the performance of a device based on the principle of volume-compensation was assessed by comparison with simultaneous measurement of direct (invasive) radial artery pressure in nine healthy subjects. Bias and precision of systolic BP (SBP) and diastolic BP (DBP) derived from Bland-Altman plots of data from the present system and the direct method averaged -0.5 +/- 2.1 mmHg and 0.6 +/- 1.8 mmHg respectively, over a wide range of SBP and DBP. These results clearly indicate that, using this system, instantaneous radial artery pressure can be measured noninvasively with high accuracy.

Mesh:

Year:  2007        PMID: 17926688     DOI: 10.1109/TBME.2007.894833

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  Acquisition technology research of EEG and related physiological signals under +Gz acceleration.

Authors:  Y Li; T Zhang; L Deng; B Wang
Journal:  Ir J Med Sci       Date:  2013-07-17       Impact factor: 1.568

2.  Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection.

Authors:  Majid Nour; Derya Kandaz; Muhammed Kursad Ucar; Kemal Polat; Adi Alhudhaif
Journal:  Comput Math Methods Med       Date:  2022-07-19       Impact factor: 2.809

Review 3.  Advances in Cuffless Continuous Blood Pressure Monitoring Technology Based on PPG Signals.

Authors:  Caijie Qin; Xiaohua Wang; Guangjun Xu; Xibo Ma
Journal:  Biomed Res Int       Date:  2022-10-01       Impact factor: 3.246

4.  Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.

Authors:  Monika Simjanoska; Martin Gjoreski; Matjaž Gams; Ana Madevska Bogdanova
Journal:  Sensors (Basel)       Date:  2018-04-11       Impact factor: 3.576

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.