scholarly journals ECG signal coding methods in digital systems

2018 ◽  
Author(s):  
Tomasz Żentara ◽  
Krzysztof Murawski
Keyword(s):  
Digital Systems ◽  
Ecg Signal ◽  
Signal Coding

A novel algorithm for wavelet based ECG signal coding

2007 ◽  
Vol 33 (3) ◽  
pp. 186-194 ◽  
Author(s):  
R. Shantha Selva Kumari ◽  
V. Sadasivam
Keyword(s):  
Ecg Signal ◽  
Signal Coding ◽  
Novel Algorithm

ECG SIGNAL CODING USING BIORTHOGONAL WAVELET-BASED BURROWS–WHEELER CODER

2011 ◽  
Vol 09 (02) ◽  
pp. 269-281 ◽  
Author(s):  
R. SHANTHA SELVA KUMARI ◽  
R. SURIYA PRABHA ◽  
V. SADASIVAM
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Ecg Signal ◽  
Biorthogonal Wavelet ◽  
Time Frequency ◽  
Ecg Signals ◽  
Coding Efficiency ◽  
Frequency Representation ◽  
Mean Square Difference ◽  
Signal Coding

Wavelets are the powerful tool for signal processing especially bio-signal processing. Wavelet transform is used to represent the signal to some other time frequency representation better suited for detecting and removing redundancies. In this paper, electrocardiogram (ECG) signal coding using biorthogonal wavelet-based Burrows–Wheeler Coder is discussed. Biorthogonal wavelet transform is used to decompose the ECG signal. Then the Burrows–Wheeler Coder is applied in order to compress the decomposed ECG signal. The Burrows–Wheeler Coder is the combination of Burrows–Wheeler Transformation (BWT), Move-to-Front (MTF) coder and Huffman coder. Compression Ratio (CR) and Percent Root mean square Difference (PRD) are used as performance measures. ECG signals/records from MIT-BIH arrhythmic database are used to evaluate the performance of this coder. This algorithm is tested with 25 different records from MIT-BIH arrhythmia database and obtained the average PRD as 0.0307% to 3.8706% for the average CR of 3.6362 : 1 to 280.48 : 1. For record 117, the CR of 8.1638 : 1 is achieved with PRD 0.1652%. This experimental results show that this coder outperforms other coders such as Djohn, EZW, SPIHT, Novel algorithm etc. that exist in the literature in terms of coding efficiency and computation.

Creating a standard method of controlling digital microscopes: the microscope access protocol (map)

1995 ◽  
Vol 53 ◽  
pp. 16-17
Author(s):  
T. A. Dodson ◽  
E. Völkl ◽  
L. F. Allard ◽  
T. A. Nolan
Keyword(s):  
Data Storage ◽  
Storage Systems ◽  
Digital Systems ◽  
Data Networks ◽  
Digital Microscopy ◽  
Command Language ◽  
Access Protocol ◽  
Analog To Digital ◽  
Basic Physics ◽  
Scanning Electron

The process of moving to a fully digital microscopy laboratory requires changes in instrumentation, computing hardware, computing software, data storage systems, and data networks, as well as in the operating procedures of each facility. Moving from analog to digital systems in the microscopy laboratory is similar to the instrumentation projects being undertaken in many scientific labs. A central problem of any of these projects is to create the best combination of hardware and software to effectively control the parameters of data collection and then to actually acquire data from the instrument. This problem is particularly acute for the microscopist who wishes to "digitize" the operation of a transmission or scanning electron microscope. Although the basic physics of each type of instrument and the type of data (images & spectra) generated by each are very similar, each manufacturer approaches automation differently. The communications interfaces vary as well as the command language used to control the instrument.

Testing of Digital Systems

2003 ◽  
Author(s):  
N. K. Jha ◽  
S. Gupta
Keyword(s):  
Digital Systems

Study on Cuff-Less Blood Pressure Measurement Based on Electrocardiography and Photoplethysmography Signal

2019 ◽  
Vol 2 (3) ◽  
pp. 206-214
Author(s):  
Putri Indes Oktabriani ◽  
Fuad Ughi ◽  
Aulia Arif Iskandar
Keyword(s):  
Blood Pressure ◽  
Pressure Measurement ◽  
Blood Pressure Monitoring ◽  
Blood Pressure Measurement ◽  
Ecg Signal ◽  
Optimum Location ◽  
Blood Pressure Monitor ◽  
Pressure Monitor ◽  
Left Hand ◽  
Measure Blood Pressure

The continuous blood pressure measurement research is widely known for helpingthe development of ambulatory blood pressure monitoring where it measures blood pressureevery 15 to 30 minutes throughout the day. The cuff is a problem for the patient withAmbulatory Blood Pressure Monitor. It can make a person feel uncomfortable and must staystill when the cuff starts to inflate. It is limiting and disturbing their daily activity when thedevice is starting to measure the blood pressure. Blood pressure measurement without cuff isbeing proposed in this research, called cuff-less blood pressure measurement. It will be based onPhotoplethysmography (PPG) and Electrocardiography (ECG) signal analysis. ECG (Lead 1,Lead 2, and Lead 3) with PPG signal produced from index finger on the left hand are comparedand analyzed. Then the relation of PPG and ECG signal and the optimum location for daily usecan be obtained. The optimum location will be based on the electrode’s position that producedthe optimum ECG lead Signal to measure blood pressure. Based on the result, PPG and ECGsignal have a linear relation with Blood Pressure Measurement and Lead 1 is more stable inproducing the ECG signal. The equation from Lead 1 appeared as one of the optimum equationsfor measuring Systolic Blood Pressure (SBP) or Diastolic Blood Pressure (DBP).

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