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作 者:Sudipta Ghosh Bhabani Prasad Chattopadhyay Ram Mohan Roy Jayanta Mukherjee Manjunatha Mahadevappa
机构地区:[1]Department of Computer Science&Engineering,Indian Institute of Technology Kharagpur,Kharagpur,West Bengal 721302,India [2]School of Medical Science&Technology,Indian Institute of Technology Kharagpur,Kharagpur,West Bengal 721302,India [3]Department of Cardiology,Medical College&Hospital,Kolkata,West Bengal 700073,India
出 处:《Intelligent Medicine》2022年第4期199-208,共10页智慧医学(英文)
基 金:This work was supported by the Ministry of Human Resource Devel-opment(MHRD),Department of Higher Education,New Delhi,India,F.NO.4-23/2014-TS.I,Dt.14-02-2014(Project code:LYA).
摘 要:Background Continuous blood pressure(BP)monitoring provides additional information about how changes in BP may correlate with daily activities and sleep patterns.Recommendations from the American Heart Association and American College of Cardiology strongly suggest confirming a diagnosis of hypertension with continuous BP monitoring.Non-invasive and non-intrusive detection of haemodynamic parameters is emerging as a norm,based on self-monitoring wearable medical devices.Researchers have carried out several studies using non-invasive and continuous BP measurements as an alternative to conventional cuff-based measurements.In this work,we proposed a novel method for cuffless estimation of BP using impedance cardiography(ICG).Methods We conducted a single-centre,cross-sectional study of 104 subjects(of whom 30 were categorized as controls and the remaining 74 as the disease group)at the Medical College and Hospital,Kolkata.The disease group consisted of patients with confirmed coronary artery disease,while the individuals in the control group were deemed to be healthy.All subjects underwent electrocardiogram recording by on-duty doctors in order to determine their health status.A custom-made device based on the principle of impedance plethysmography was designed to record impedance changes due to subjects’peripheral blood flow.The device was used to record ICG signals.In this study,we developed a novel auto-adaptive algorithm based on ICG signals for non-invasive,cuffless,continuous monitoring of BP and heart rate.Separate mathematical models were developed for all the estimated parameters(BP and heart rate)for both the study groups(control and disease).The developed models were auto-adaptive and did not require subject-specific calibration.Performance indicators including,𝑟2,error percentage,standard deviation,and mean difference were used to quantify the performance of the models.Results The ICG signal recorded by the device was used to extract features and compute the augmentation index.The calculated augment
关 键 词:Impedance cardiography Augmentation index Systolic pressure Diastolic pressure Heart rate
分 类 号:R544[医药卫生—心血管疾病]
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