Time-domain heart rate variability-based computer-aided prognosis of lung cancer

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dc.contributor.authorShukla, Reema Shyamsunderen_US
dc.contributor.authorAggarwal, Yogenderen_US
dc.date.accessioned2020-01-02T06:27:58Z
dc.date.available2020-01-02T06:27:58Z
dc.date.issued2018-01
dc.description.abstractObjective: Incidence of lung cancer (LC) is increasing day by day with exposure to smoke, radiation, and chemicals; LC is one of the leading causes of death. The major difficulty in treatment was delayed diagnosis. This study aims to propose a time-domain heart rate variability (HRV) feature-based automated system in LC prediction and its staging. Materials and Methods: HRV analysis was done using recorded electrocardiographic signal from 104 LC participants and 30 control volunteers. Artificial neural network (ANN) and support vector machine (SVM) were implemented on HRV time-domain features for early prognosis of the disorder. Statistical significance of HRV parameters was tested, and graphical user interface (GUI) was also implemented. Results: It was revealed that progression of cancer causes low HRV. An accuracy of 89.64% and 100% was obtained with ANN and SVM, respectively, in automated cancer prediction. Statistical analysis suggested the significance of data at P < 0.05 between different performance statuses among patients. Conclusion: The severity of LC alters the sympathovagal balance through autonomic dysfunction. HRV analysis with an expert system was found useful for the early diagnosis of the disease, and thus, a noninvasive technique is of prognostic importance in classifying LC stages. The GUI designed for clinicians can help them to diagnose the Eastern Cooperative Oncology Group performance status scale of future patients.en_US
dc.identifier.affiliationsDepartment of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, Indiaen_US
dc.identifier.citationShukla Reema Shyamsunder, Aggarwal Yogender. Time-domain heart rate variability-based computer-aided prognosis of lung cancer. Indian Journal of Cancer. 2018 Jan; 55(1): 61-65en_US
dc.identifier.issn0019-509X
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/190319
dc.languageenen_US
dc.publisherIndian Cancer Societyen_US
dc.relation.issuenumber1en_US
dc.relation.volume55en_US
dc.source.urihttps://dx.doi.org//10.4103/ijc.IJC_395_17en_US
dc.titleTime-domain heart rate variability-based computer-aided prognosis of lung canceren_US
dc.typeJournal Articleen_US
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