MECHANICAL PULSE SIGNAL ANALYSIS IN ORDER TO FEATURE EXTRACTION TO USE IN THE DIAGNOSIS OF CAD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SOKOUT MOHAMMAD SAJJAD; BEIGZADEH BORHAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2018 | Volume:18 | Issue:1 Page(s): 62-68

Download Full-Text

Persian Verion

View:

1,164

Download:

Cites:

Information Journal Paper

Title

MECHANICAL PULSE SIGNAL ANALYSIS IN ORDER TO FEATURE EXTRACTION TO USE IN THE DIAGNOSIS OF CAD

Author(s)

SOKOUT MOHAMMAD SAJJAD | BEIGZADEH BORHAN | Issue Writer Certificate

Keywords

PULSE SIGNALQ1

BLOOD PRESSURE PULSEQ1

DISEASE DIAGNOSISQ1

CORONARY ARTERIESQ1

FEATURE EXTRACTIONQ2

Abstract

Nowadays, diagnosis of diseases with high precision, high speed, low-cost and non-invasive approaches has become a necessity. In this regard, taking PULSE SIGNAL is very easy and inexpensive, which due to the availability and feasibility of the process, can be very useful in the rapid diagnosis heart disease. If we can use the appropriate signal processing and intelligent methods in such a way that its accuracy and total cost equal those of other corresponding methods, we can say that we have reached a valuable achievement; in the current study we pursue the same purpose. In the first step, pressure PULSE SIGNALs of 45 Coronary Arterial Disease (CAD) patients and 45 healthy persons are acquired from the left fingers using Task Force Monitor (TFM). Then the signals are filtered by wavelet transform (db6) and the wrong items are discarded. Then, the features corresponding to the CAD and healthy states are extracted which based on Time Domain Analysis. By choosing the best features, the data of healthy people and patients (CAD) are classified with Support Vector Machine (SVM) classifier by the accuracy rate of more than 85%. Finally, the effect of age on the best feature was investigated. A correlation of less than 5% between the best feature and age was obtained.

Cites

No record.

References

No record.

Cite

APA: Copy

SOKOUT, MOHAMMAD SAJJAD, & BEIGZADEH, BORHAN. (2018). MECHANICAL PULSE SIGNAL ANALYSIS IN ORDER TO FEATURE EXTRACTION TO USE IN THE DIAGNOSIS OF CAD. MODARES MECHANICAL ENGINEERING, 18(1 ), 62-68. SID. https://sid.ir/paper/179383/en

Vancouver: Copy

SOKOUT MOHAMMAD SAJJAD, BEIGZADEH BORHAN. MECHANICAL PULSE SIGNAL ANALYSIS IN ORDER TO FEATURE EXTRACTION TO USE IN THE DIAGNOSIS OF CAD. MODARES MECHANICAL ENGINEERING[Internet]. 2018;18(1 ):62-68. Available from: https://sid.ir/paper/179383/en

IEEE: Copy

MOHAMMAD SAJJAD SOKOUT, and BORHAN BEIGZADEH, “MECHANICAL PULSE SIGNAL ANALYSIS IN ORDER TO FEATURE EXTRACTION TO USE IN THE DIAGNOSIS OF CAD,” MODARES MECHANICAL ENGINEERING, vol. 18, no. 1 , pp. 62–68, 2018, [Online]. Available: https://sid.ir/paper/179383/en

Related Journal Papers