Key result
The reviewed book provides a comprehensive and competent presentation of advanced methods for ECG signal acquisition, filtering, wave detection, parameter extraction, and classification.
A book review discussing advanced methods and tools for automated ECG data analysis.
May guide ECG analysis adoption in clinics; leaves open prospective validation across biomedical signals.
The automated analysis of the electrocardiogram (ECG) is an important part of the general problem of interpretation of biomedical signals. First, ECG signal evaluation is known to be one of the most informative and significant tools not only for cardiac diagnostics but also for correlative examination of the state of other systems in the body. Secondly, many approaches developed for analysis of the ECG may be applied to different biomedical signals.
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Ivan Dotsinsky (2007) conducted a review in Electrocardiogram (ECG) analysis. The reviewed book provides a comprehensive and competent presentation of advanced methods for ECG signal acquisition, filtering, wave detection, parameter extraction, and classification.
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