A pragmatic study on patient friendly treatment: Implementing Dhoulath’s method for separation of cardiac signals from speech for cases including COVID-19 patients

J. Dhoulath Beegum1 Department of Electronics and Communication Engineering, Thangal Kunju Musaliar College of Engineering, Kollam691005, Kerala, IndiaCorrespondence[email protected]

D. Chithraprasad2 Department of Computer Science, Thangal Kunju Musaliar College of Engineering, Kollam691005, Kerala, India E-mail: [email protected]

Sajeev Ampadi3 Department of Cardiology, Nalanda Medical College & Hospital Brampton, ON L6T 5K1, Canada E-mail: [email protected]

Mahesh Sankar4 Department of Electronics and Communication Engineering, Thangal Kunju Musaliar College of Engineering, Kollam691005, Kerala, India E-mail: [email protected]

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Dhoulath Beegum J, Chithraprasad D, Sajeev Ampadi, Ramesh Chandra Poonia & Mahesh Sankar. (2022) Blind separation of speech from aortic regurgitation signals using Dhoulath’s method. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-18.
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N Muhsina, Dhoulath Beegum J, Manjusree S, Lubaib P, Al Saheer S S & Athira J Shenoy. (2023) Signal Enhancement of Source Separation Techniques. Signal Enhancement of Source Separation Techniques.

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A pragmatic study on patient friendly treatment: Implementing Dhoulath’s method for separation of cardiac signals from speech for cases including COVID-19 patients

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A pragmatic study on patient friendly treatment: Implementing Dhoulath’s method for separation of cardiac signals from speech for cases including COVID-19 patients

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