Rohila, Ashish; Giri, V. K.
December 2015
Far East Journal of Electronics & Communications;Dec2015, Vol. 15 Issue 2, p121
Academic Journal
Electrocardiogram (ECG) is a widely used non invasive method for diagnosis of cardiovascular diseases. While recording, baseline wander enters in ECG signals due to movement of electrodes and respiration. In order to extract clinical information with high accuracy, there is a need to pre-process ECG signal before diagnosis. In this paper, baseline wander removal algorithm based on Empirical Mode Decomposition (EMD) has been proposed. In order to remove baseline wander from ECG signals, proposed algorithm has been applied to ECG signals taken from MIT/BIH and CSE databases. Also, in order to examine the performance of proposed algorithm in real time situations, ECG signals recorded in laboratory have been considered as test signals. Power Spectral Density and signal power in frequency range 0-0.5Hz have been calculated for original signal and reconstructed signal.


Related Articles

  • A survey of data mining algorithms used in cardiovascular disease diagnosis from multi-lead ECG data. MOSES, DIANA; C., DEISY // Kuwait Journal of Science;2015, Vol. 42 Issue 2, p206 

    Remote cardiovascular disease (CVD) diagnosis from ECG plays an important role in health care domain. Data mining, the major step in the process of the extraction of knowledge using descriptive and predictive algorithms that aid in making proactive decisions, has also been used for CVD...

  • A Study of Multi-Signal Monitoring System Establishment for Hemodynamic Energy Detection. Yeon Soo Shin; Duck Hee Lee; Seung Joon Song; Chi Bum Ahn; Kyung Sun // International Journal of Advanced Computer Science & Application;Sep2014, Vol. 5 Issue 9, p16 

    Deaths due to cardiovascular diseases are increasing worldwide, and multi-signal monitoring systems to diagnose such diseases are under development. However, only a few researches are underway for devices that monitor hemodynamic energy, which is a marker for pulsatile flow generated by the...

  • Extraction of Heart Rate Variability from Smartphone Photoplethysmograms. Peng, Rong-Chao; Zhou, Xiao-Lin; Lin, Wan-Hua; Zhang, Yuan-Ting // Computational & Mathematical Methods in Medicine;1/12/2015, Vol. 2015, p1 

    Heart rate variability (HRV) is a useful clinical tool for autonomic function assessment and cardiovascular diseases diagnosis. It is traditionally calculated from a dedicated medical electrocardiograph (ECG). In this paper, we demonstrate that HRV can also be extracted from photoplethysmograms...

  • Abnormal electrocardiographic findings in athletes: recognising changes suggestive of primary electrical disease. Drezner, Jonathan A.; Ackerman, Michael J.; Cannon, Bryan C.; Corrado, Domenico; Heidbuchel, Hein; Prutkin, Jordan M.; Salerno, Jack C.; Anderson, Jeffrey; Ashley, Euan; Asplund, Chad A.; Baggish, Aaron L.; Börjesson, Mats; DiFiori, John P.; Fischbach, Peter; Froelicher, Victor; Harmon, Kimberly G.; Marek, Joseph; Owens, David S.; Paul, Stephen; Pelliccia, Antonio // British Journal of Sports Medicine;Feb2013, Vol. 47 Issue 3, p153 

    Cardiac channelopathies are potentially lethal inherited arrhythmia syndromes and an important cause of sudden cardiac death (SCD) in young athletes. Other cardiac rhythm and conduction disturbances also may indicate the presence of an underlying cardiac disorder. The 12-lead ECG is utilised as...

  • Electrocardiogram Derived Respiratory Rate from QRS Slopes and R-Wave Angle. Lázaro, Jesús; Alcaine, Alejandro; Romero, Daniel; Gil, Eduardo; Laguna, Pablo; Pueyo, Esther; Bailón, Raquel // Annals of Biomedical Engineering;Oct2014, Vol. 42 Issue 10, p2072 

    A method for estimating respiratory rate from electrocardiogram (ECG) signals is presented. It is based on QRS slopes and R-wave angle, which reflect respiration-induced beat morphology variations. The 12 standard leads, 3 leads from vectorcardiogram (VCG), and 2 additional non-standard leads...

  • CCI Edits 17.0: Newest Edits Clarify Debuting CPT 2011 Procedures.  // Pulmonology Coding Alert;Jan2011, Vol. 12 Issue 1, pp1 

    The article offers information on Correct Coding Initiative edits (CCI 17.0), which offer clarification on current procedural terminology (CPT) procedures and will be effective on starting January 1, 2011. It states that the CCI 17.0 has added category II for electrocardiograph (ECG) procedures...

  • Smartphone-Enabled ECG Devices Produce Diagnostic Tracings in Children. Parry, Nicola // MD Conference Express;Jul2014, Vol. 14 Issue 9, p22 

    This article presents results of the prospective, single-center Smartphone Pediatric Electrocardiogram trial [SPEAR] demonstrating that smartphone-enabled electrocardiogram (ECG) devices can produce accurate tracings of diagnostic and therapeutic quality in children in the remote setting.

  • Determinants of savings and remittances: empirical evidence from immigrants to Germany. Sinning, Mathias // Review of Economics of the Household;Mar2011, Vol. 9 Issue 1, p45 

    This paper investigates the determinants of migrants' financial transfers to their home country using German data. A double-hurdle model is applied to analyze the determinants of the propensity to send transfers to the country of origin and the amount of transfers. The findings reveal that...

  • Prediction Technology of Power Transmission and Transformation Project Cost Based on the Decomposition-Integration. Lu, Yan; Niu, Dongxiao; Qiu, Jinpeng; Liu, Weidong // Mathematical Problems in Engineering;3/29/2015, Vol. 2015, p1 

    Through the analysis of power transmission and transformation project cost, total cost can be decomposed into construction cost, equipment purchase cost, installation cost, and other costs. This paper proposes a decomposition-integration cost prediction model taking a substation project as an...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics