Heart Rate Variability Analysis in Lung Cancer Patients to Determine the Effect of Treatment

Autor: Reema Shyamsunder Shukla, Shreeniwas S. Raut, Rakesh Kumar Sinha, Yogender Aggarwal
Rok vydání: 2020
Předmět:
Zdroj: Advances in Bioengineering ISBN: 9789811520624
DOI: 10.1007/978-981-15-2063-1_13
Popis: Lung cancer mortality is increasing nowadays globally. The objective of the study was to analyze the improvement in performance status (PS) of lung cancer patients using heart rate variability (HRV) measures after the treatment. The electrocardiogram (ECG) of 104 consecutive lung cancer subjects and 30 healthy controls was recorded for 5 min. The R to R (RR) interval plot was extracted from ECG using Acknowledge 4.0 software, which was fed to Kubios HRV 2.1, Finland, for HRV analysis. R Statistical Software v.3.3.2, 64 bit, was utilized for statistical analysis. The HRV measures increased after the treatment. Considering gender as confounder, it was found that male subjects had higher values than females and it increased after the treatment. Control males had lower values of all HRV measures than control females. Increased HRV measures after the treatment indicate parasympathetic dominance and improvisation in the quality of PS of patients.
Databáze: OpenAIRE