Name
Title | ||
|---|---|---|
Diagnosing of the lungs status using morphological anomalies of the signals in transformed domain |
Abstract | ||
|---|---|---|
Lung sound (LS) contains information regarding the lungs status. Medical practitioners listen to these sounds using stethoscope and make interpretation. This procedure is known as auscultation which totally depends on the physicians experience and knowledge. There is a probability of misinterpretation due to human factor involved. In this paper, we propose a method based on complexity measuring theorem that can give reliable diagnosis of LS in an automated environment. The developed algorithm detects the lung conditions by calculating the sample entropy value of the frequency spectrum. The results are evaluated through statistical analysis and corroborated by a pulmonologist. The technique could be very useful in developing assisting device for medical professionals. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IHCI.2012.6481803 | Intelligent Human Computer Interaction |
Keywords | Field | DocType |
biomedical equipment,entropy,lung,medical signal processing,statistical analysis,LS reliable diagnosis,auscultation,complexity measuring theorem,entropy value,frequency spectrum,lung sound,lung status diagnosis,medical practitioner,medical professional,morphological anomalies,pulmonologist,statistical analysis,stethoscope,transformed domain,Hilbert transform,Lung sound (LS),Respiratory cycle,Sample entropy,Spectrum | Stethoscope,Sample entropy,Pulmonologist,Computer science,Biomedical equipment,Speech recognition,Frequency spectrum,Auscultation,Lung sound,Statistical analysis | Conference |
ISBN | Citations | PageRank |
978-1-4673-4367-1 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashok Mondal | 1 | 1 | 0.72 |
| Parthasarathi Bhattacharyat | 2 | 0 | 0.34 |
| Goutam Saha | 3 | 255 | 23.17 |