A review of signal processing techniques for heart sound analysis in clinical diagnosis
| Autor: | Babatunde S Emmanuel |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Discrete wavelet transform
Phonocardiogram Signal processing Heart Murmurs business.industry Process (engineering) Speech recognition Wavelet Analysis Biomedical Engineering Signal Processing Computer-Assisted Heart Auscultation General Medicine Machine learning computer.software_genre Heart Sounds Wavelet Heart sounds Data integrity Humans Medicine Artificial intelligence business computer Algorithms |
| Zdroj: | Journal of Medical Engineering & Technology. 36:303-307 |
| ISSN: | 1464-522X 0309-1902 |
| Popis: | This paper presents an overview of approaches to analysis of heart sound signals. The paper reviews the milestones in the development of phonocardiogram (PCG) signal analysis. It describes the various stages involved in the analysis of heart sounds and discrete wavelet transform as a preferred method for bio-signal processing. In addition, the gaps that still exist between contemporary methods of signal analysis of heart sounds and their applications for clinical diagnosis is reviewed. A lot of progress has been made but crucial gaps still exist. The findings of this review paper are as follows: there is a lack of consensus in research outputs; inter-patient adaptability of signal processing algorithm is still problematic; the process of clinical validation of analysis techniques was not sufficiently rigorous in most of the reviewed literature; and as such data integrity and measurement are still in doubt, which most of the time led to inaccurate interpretation of results. In addition, the existing diagnostic systems are too complex and expensive. The paper concluded that the ability to correctly acquire, analyse and interpret heart sound signals for improved clinical diagnostic processes has become a priority. |
| Databáze: | OpenAIRE |
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