This book has been written to meet the course on biomedical signal processing of Electronics and Biomedical Engineering curriculum for the undergraduate and postgraduate students. Biomedical Signal Processing is an important part of the biomedical signal analysis where students apply their knowledge to advanced practical application of signal processing and pattern analysis techniques in biomedical system for efficient and improved invasive diagnosis. 
Additional Info
  • Publisher: Laxmi Publications
  • Language: English
  • ISBN : 978-93-81159-04-0
  • Chapter 1

    Introduction to Biomedical Signals Price 2.99  |  2.99 Rewards Points

    Processing of biomedical signal, until a few years ago, was mainly directed toward filtering for removal of noise and power-line interference; spectral analysis to understand the frequency characteristics of signals; and modeling for feature representation and parameterization. Recent trends have been toward quantitative or objective analysis of physiological systems and phenomena via signal analysis. The field of biomedical signal analysis has advanced to the stage of practical application of signal processing and pattern analysis techniques for efficient and improved invasive diagnosis, on-line monitoring of critically ill patients and rehabilitation and sensory aids for the handicapped. Techniques developed by engineers are gaining wider acceptance by practicing clinicians and the role of engineering in diagnosis and treatment is gaining much-deserved respect.
  • Chapter 2

    Basics of Electrocardiography Price 2.99  |  2.99 Rewards Points

    There are three basic techniques used in clinical electrocardiography. The most familiar is the standard clinical electrocardiogram. This is the test done in a physician’s office in which 12 different potential differences called ECG leads are recorded from the body surface of a resting patient. A second approach uses another set of body surface potentials as inputs to a three-dimensional vector model of cardiac excitation. This produces a graphical view of the excitation of the heart called the vectorcardiogram (VCG). Finally, for long-term monitoring in the intensive care unit or on ambulatory patients, one or two ECG leads are monitored or recorded to look for life-threatening disturbances in the rhythm of the heartbeat. This approach is called arrhythmia analysis
  • Chapter 3

    Application of Computer in Biomedical Engineering Price 2.99  |  2.99 Rewards Points

    Applications of the digital computer in medicine and related fields are so numerous that even listing all of them is beyond the scope of this textbook. Most of these applications, however, utilize a few basic capabilities of the computer which provide an insight to ways in which computers can be used in conjunction with biomedical instrumentation. These basic capabilities include: 1. Data acquisition: The reading of instruments and transcribing of data can be done automatically under control of the computer. This not only results in a substantial saving of time and effort, but also reduces the number of errors in the data. When data are expected at irregular intervals, the computer can continuously scan all input sources and accept data when screened to select those with ECG irregularities that should receive further attention. In most cases, the “normal” range is defined in advance, but sometimes the computer is programmed to establish normal ranges for each patient based upon the averages of repeated measures taken under specified conditions.
  • Chapter 4

    ECG QRS Detection Price 2.99  |  2.99 Rewards Points

    Over the past few years, there has been an increased trend toward processing of the electrocardiogram (ECG) using microcomputers. A survey of literature in this research area indicates that systems based on microcomputers can perform needed medical services in an extremely efficient manner. In fact, many systems have already been designed and implemented to perform signal processing tasks such as 12-lead off-line ECG analysis, Holter tape analysis and real-time patient monitoring. All these applications require an accurate detection of the QRS complex of the ECG. For example, arrhythmia monitors for ambulatory patients analyze the ECG in real time and when an arrhythmia occurs, the monitor stores a time segment of the abnormal ECG. This kind of monitor requires an accurate QRS recognition capability. Thus, QRS detection is an important part of many ECG signal processing systems.
  • Chapter 5

    ST Segment Analyzer Price 2.99  |  2.99 Rewards Points

    The ST-segment represents the period of the ECG just after depolarization, the QRS complex and just before repolarization, the T wave. Changes in the ST-segment of the ECG may indicate that there is a deficiency in the blood supply to the heart muscle. Thus, it is important to be able to make measurements of the ST-segment. This section describes a microprocessor-based device for analyzing the ST-segment.
  • Chapter 6

    Data Reduction Techniques Price 2.99  |  2.99 Rewards Points

    A typical computerized medical signal processing system acquires a large amount of data that is difficult to store and transmit. We need a way to reduce the data storage space while preserving the significant clinical content for signal reconstruction. In some applications, the process of reduction and reconstruction requires real-time performance.
  • Chapter 7

    EEG Price 2.99  |  2.99 Rewards Points

    EEG
  • Chapter 8

    EEG Analysis Price 2.99  |  2.99 Rewards Points

    EEG Analysis
  • Chapter 9

    EP Estimation Price 2.99  |  2.99 Rewards Points

    EP Estimation

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