Smart blood pressure holter. (March 2018)

• Record Type: Journal Article
• Authors: İlhan, İlhan
• Is Part Of: Computer methods and programs in biomedicine. Volume 156(2018)
• Page Start: 1
• Page End: 12
• Publication Date: 2018-03
• Subjects: Blood pressure -- Bluetooth -- Holter -- Mobile programming -- Simple hill climbing algorithm -- Smart mobile device; 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.2017.12.025
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: In this study, a wireless blood pressure holter was developed. The smart mobile device is used as a recording, control and display device through the developed interface. The cuff was designed to take measurements from an arm and Resistor-Capacitor (RC) and digital filters were used on the cuff. The blood pressure was estimated using the Simple Hill Climbing Algorithm. The test results indicated that the wireless blood pressure holter can satisfy the requirements of a classical holter device. Abstract: Background and Objective: In this study, a wireless blood pressure holter that can be used with smart mobile devices was developed. The developed blood pressure holter consists of two parts, which are a smart mobile device and a cuff. The smart mobile device is used as a recording, control and display device through a developed interface, while the cuff was designed to take measurements from the arm. Methods: Resistor-Capacitor (RC) and digital filters were used on the cuff that communicates with the smart mobile device via Bluetooth. The blood pressure was estimated using the Simple Hill Climbing Algorithm (HCA). It is possible to measure instantaneous or programmable blood pressure and heart rate values at certain intervals using this holter. Results: The test was conducted with 30 individuals at different ages with the guidance of a specialist health personnel. The results showed that an accuracy at 93.89% and 91.95% rates could be obtained for systolic and diastolic pressure values, respectively, when compared with those obtained using a traditional sphygmomanometer. The accuracy level for the heart rate was measured as 97.66%. Furthermore, this device was tested day and night in the holter mode in terms of working time, the continuity of the Bluetooth connection and the reliability of the measurement results. Conclusions: The test results were evaluated separately in terms of measurement accuracy, working time, the continuity of the Bluetooth connection and the reliability of the measurement results. The measurement accuracy for systolic, diastolic blood pressure and heart rate values was obtained as 93.89%, 91.95% and 97.66%, respectively. The maximum number of measurements which can be conducted with four 1000 mA alkaline batteries at 20 min intervals was found approximately 79 (little more than 24 h). In addition, it was determined that the continuity of the Bluetooth connection and the reliability of the measurement results were automatically achieved through the features in the interface developed for the smart mobile device. These different evaluations showed that the smart blood pressure holter can meet the requirements of a classical holter device.