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Assessing ECG signal quality on a coronary care unit
Physiological Measurement, 1996Poor electrocardiograph (ECG) signal quality is associated with an increase in the number of false alarms, may degrade diagnostic information, and can increase the workload for coronary care unit (CCU) or other intensive care staff. It is important therefore to establish simple quantitative measures that can be used to demonstrate signal quality ...
Allen J, Murray A
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Computerized quality assessment of phonocardiogram signal measurement-acquisition parameters
Journal of Medical Engineering & Technology, 2012The major focus of this study is to describe and develop a phonocardiogram (PCG) signal measurement binary quality assessment (accept-reject) technique. The proposed algorithm is composed of three major stages: preprocessing, numerical-based quality measurement and advanced measurement subroutines. The preprocessing step includes normalization, wavelet-
H, Naseri, M R, Homaeinezhad
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A Signal Separation Algorithm for GNSS Signal Quality Assessment
2016With the wide application of multiplexing technology in navigation satellite system, the traditional processing method for one channel signal is no longer suitable for the analysis of composite baseband waveform, which requires signal separation. However, there is a lack of effective navigation signal separation methods currently.
Hao Yan, Baowang Lian, Lin Zhang
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Quality assessment of EEG signals based on statistics of signal fluctuations
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014Abstract —The quality of the non-invasive EEG signals wasalways affected by the changes in the contact impedances and theartifacts from eye blinking, eye movements and body movements.An effective quality assessment method is needed to assess thequalities of the EEG signals.
Huijuan Yang +4 more
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Quality Assessment of ICA for ECG Signal Analysis
2009 Second International Conference on Emerging Trends in Engineering & Technology, 2009The immense scope in the field of biomedical signal processing Independent Component Analysis (ICA ) is gaining momentum due to huge data base requirement for quality testing. The diagnosis of patient is based on visual observation of recorded ECG signals may not be accurate.
H. P. Kasturiwale, C. N. Deshmukh
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Towards automated quality assessment measure for EEG signals
Neurocomputing, 2017EEG signals provide the means to understand how the brain works and they can be used within a wide range of applications; especially BCI applications. The main issue that affects the performance of such applications is the quality of the recorded EEG signal.
Mohamed, S. +3 more
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Assessment of ECG Signal Quality After Compression
2018Highly efficient lossy compression algorithms for ECG signals are connected with distortion of the signals; lossy compression is a compromise between compression efficiency and signal quality. It is recommended to express this relation using rate-distortion curve.
Andrea Němcová +4 more
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Signal Quality Assessment of Wireless Signal Based on Compressed Sensing
2018Detecting signal interference and assessing signal quality are essential tasks to ensure the normal communication within an area. As for traditional methods, we have to take field measurements after setting up a base station which needs to obtain huge data in low efficiency.
Fei An, Fusheng Dai
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[Interference Detection and Signal Quality Assessment of Pulse Signals].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation, 2016Pulse signal contains a wealth of biological and pathological information. However, it is susceptible to the influence of various factors which results in poor signal quality, and causes the device to generate false alarms. First the pulse signals are processing into discrete symbols, and then compare the test signal with the pulse template by using ...
Aihua, Zhang +3 more
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Voice Signal Quality Assessment Based on Signal Quality Standards and Analysis
International Journal of Research Publication and Reviews, 2023Vuong Thuy Linh +2 more
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