Robust controller for cancer chemotherapy dosage using nonlinear kernel-based error function

• Autorzy: Mohite Utkarsha L. , Patel Hirenkumar G.

Identyfikatory

DOI

10.1515/bams-2019-0056

• Języki publikacji: EN

Abstrakty

EN

It is well-known that chemotherapy is the most significant method on curing the most death-causing disease like cancer. These days, the use of controller-based approach for finding the optimal rate of drug injection throughout the treatment has increased a lot. Under these circumstances, this paper establishes a novel robust controller that influences the drug dosage along with parameter estimation. A new nonlinear error functionbased extended Kalman filter (EKF) with improved scaling factor (NEF-EKF-ISF) is introduced in this research work. In fact, in the traditional schemes, the error is computed using the conventional difference function and it is deployed for the updating process of EKF. In our previous work, it has been converted to the nonlinear error function. Here, the updating process is based on the prior error function, though scaled to a nonlinear environment. In addition, a scaling factor is introduced here, which considers the historical error improvement, for the updating process. Finally, the performance of the proposed controller is evaluated over other traditional approaches, which implies the appropriate impact of drug dosage injection on normal, immune and tumor cells. Moreover, it is observed that the proposed NEF-EKF-ISF has the ability to evaluate the tumor cells with a better accuracy rate.

Słowa kluczowe

EN

chemotherapy; controller; drug dosage; error function; extended Kalman filter

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; De Gruyter
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2020
• Tom: Vol. 16, no. 4
• Strony: art. no. 20190056
• Opis fizyczny: Bibliogr. 42 poz., rys., tab.

Twórcy

autor

Mohite Utkarsha L.

• Department of Electrical Engineering, SVNIT, Surat, India

autor

Patel Hirenkumar G.

• Department of Electrical Engineering, SVNIT, Surat, India

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).