A Study of Non-invasive Heart Rate Monitoring System by using FPGA. (2017)

• Record Type: Journal Article
• Authors: Subha, T.D.; Reshma, V.D.
• Is Part Of: Materials today. Volume 4:Number 2(2017)Part B
• Page Start: 4228
• Page End: 4238
• Publication Date: 2017
• Subjects: Fetal ECG -- Least Mean Square (LMS) -- Adaptive Algorithm -- LabVIEW; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2017.02.126
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: The aspire of this paper is in the direction of extort the Fetal Electrocardiogram (FECG) indication from the mother's tummy signal which is an essential signal to investigate the abnormality of the fetal heart by a general practitioner. By using the least-mean-square (LMS) filter the abdomen of the mother's are extracted. The LMS filter is an adaptive filter, in which the FIR filter coefficients are extracted from mother's abdomen. To calculate the fetal heart beat, the FECG based signal estimation is wanted over period. The FECG of the mother is taken at the pregnancy of 20 weeks by using this system. While considering the FECG in real time manner, the maternal woman should wear a wide belt with electrodes fitted in large manner. To separate the signals, the adaptive noise canceller algorithm is used. The adaptive noise canceller algorithm is used to analyze the collected information of the electrodes which are fitted in the belt of the woman's abdomen. This separation is here done based on predefined values by using the LabVIEW tool. The FIR filter is designed and simulated with the help of Xilinx ISE 12.1 and is implanted by using Spartan 3 of FPGA.