An integrated blood pressure measurement system for suppression of motion artifacts. (July 2017)

• Record Type: Journal Article
• Authors: Abderahman, Huthaifa N.; Dajani, Hilmi R.; Bolic, Miodrag; Groza, Voicu Z.
• Is Part Of: Computer methods and programs in biomedicine. Volume 145(2017)
• Page Start: 1
• Page End: 10
• Publication Date: 2017-07
• Subjects: Blood pressure measurement -- Motion artifacts -- Vibration -- EMD -- Accelerometer; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2017.03.007
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: An algorithm based on Empirical Mode Decomposition to supress the effect of both transient motion artifacts and vibration during the blood pressure estimation is proposed. The new stage monitors motion artifacts using a 3-axis accelerometer. The new stage can be applied on any blood pressure monitor. For transient motion artifacts, the proposed algorithm resulted in a Mean Absolute Error of 2.4 mmHg for both Systolic and Diastolic Blood Pressures. For vibrations, the MAE was 0.8 mmHg for SBP and 1.1 mmHg for DBP. Abstract: Accuracy in blood pressure (BP) estimation is essential for proper diagnosis and management of hypertension. Motion artifacts are considered external sources of inaccuracy and can be due to sudden arm motion, muscle tremor, shivering, and transport vehicle vibrations. In the proposed work, a new algorithmic stage is integrated in a non-invasive BP monitor. This stage suppresses the effect of the motion artifact and adjusts the pressure estimation before displaying it to users. The proposed stage is based on a 3-axis accelerometer signal, which helps in the accurate detection of the motion artifact. Both transient motion artifacts and artifact due to vibrations are suppressed using algorithms based on Empirical Mode Decomposition (EMD). Measurements with human subjects show that the proposed algorithms considerably improved the accuracy of the blood pressure estimates in comparison with the commonly-used conventional oscillometric algorithm that does not include an EMD-based stage for artifact suppression, and allowed the estimates to meet the requirements of the international ANSI/AAMI/ISO standard.