Effect of a Romantic Song on the Autonomic Nervous System and the Heart of Indian Male Volunteers

Abstract

In this chapter, the effect of an old generation romantic music (stimulus) on the autonomic nervous system (ANS) activity and the cardiac electrophysiology of Indian male volunteers was investigated. Electrocardiogram (ECG) signals were acquired and the corresponding RR intervals (RRIs) were extracted. The recurrence analysis of the RRI time series suggested a more stable heart rate in the post-stimulus condition. Heart rate variability (HRV) analysis detected a dominant parasympathetic activity in the post-stimulus condition. The time-domain and the wavelet transform analyses of the ECG signals predicted an alteration in the electrical activity of the heart because of the exposure to the music stimulus. The classification of the HRV and the ECG parameters was performed using artificial neural network (ANN), which resulted in an accuracy of ≥80%.

A novel comprehensive Tuberculosis (TB) control programme methodology based on the nexus of participatory action research inspired public health and precision treatment approach

“…It has a total population of 50000 and a very high population density of 3000/km 2 . Notably, we have incorporated an indigenous philosophy of Vedic altruism, the Jiva Upakara Tantra in our PAR methodological process (17), and as per interaction and recommendations by the indigenous philosophers, we have developed not only a clinic, but also a sophisticated microbiology and stem cell laboratory in a rented facility of nearby high-tech research institute, the Indian Institute of Technology-Guwahati. Furthermore, as per PAR's evolving networking methodologies, we have developed collaborative projects with leading national and international research institutes including Stanford University, USA, Harvard University, USA, Jawaharlal Nehru University, New Delhi, India, Gauhati University, Guwahati, India, and Indian Institute of Technology-Guwahati, India.…”

“…In this methodology paper, we now describe various methods that had been developed through our PAR approach at the KaviKrishna through its several independent units, the KaviKrishna Telemedicine Care (KTC), KaviKrishna Lab (KKL), and the KaviKrishna Centre of Indian Knowledge System (K-IKS). Our work at K-IKS and KTC has identified a social network system, the Indigenous Kamarupian Information Network (IKIN) prevalent among the indigenous communities of Sualkuchi-Hajo cultural complex of Kamarupa, Assam, India (15) (17). We then incorporated IKIN as a social networking method where people can communicate on an open platform and exchange traditional knowledge among them leading to knowledge emergence (10).…”

Judgement of valence of musical sounds by hand and by heart, a machine learning paradigm for reading the heart

“…Literature reports a great variation of the effects of music on HRV, avoiding the possibility to draw substantial conclusions [ 18 ]. Previous research has classified the HRV response to old generation romantic music with a performance of 80% of accuracy, using artificial neural network [ 37 ]. Another research classified the response of the Autonomic Nervous System with the HRV to Odia and Tamil music [ 38 ].…”

“…To achieve this goal, some machine learning techniques were considered to make associations between stimuli and heart responses and compared with the judgements of the subjects on the valence of the sounds. These techniques were selected considering recent experimentations that have done the data analysis throughout artificial intelligence tools [ [19] , [37] , [39] , [40] ]. This study hypothesizes that the selected sound stimuli can produce different responses in the heart.…”