Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study
Autor:
Dey, Anilesh
; Bhattacharya, D. K.
; Tibarewala, D.N.
; Dey, Nilanjan
; Ashour, Amira S.
; Le, Dac-Nhuong
; Gospodinova, Evgeniya
; Gospodinov, Mitko
Fecha:
2016Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)Tipo de Ítem:
Articulo Revista IndexadaDirección web:
https://www.ijimai.org/journal/bibcite/reference/2553Resumen:
Cardiac disease is one of the major causes for death
all over the world. Heart rate variability (HRV) is a significant
parameter that used in assessing Autonomous Nervous System
(ANS) activity. Generally, the 2D Poincare′ plot and 3D Poincaré
plot of the HRV signals reflect the effect of different external stimuli
on the ANS. Meditation is one of such external stimulus, which
has different techniques with different types of effects on the ANS.
Chinese Chi-meditation and Kundalini yoga are two different
effective meditation techniques. The current work is interested with
the analysis of the HRV signals under the effect of these two based on
meditation techniques. The 2D and 3D Poincare′ plots are generally
plotted by fitting respectively an ellipse/ellipsoid to the dense region
of the constructed Poincare′ plot of HRV signals. However, the
2D and 3D Poincaré plots sometimes fail to describe the proper
behaviour of the system. Thus in this study, a three-dimensional
frequency-delay plot is proposed to properly distinguish these two
famous meditation techniques by analyzing their effects on ANS.
This proposed 3D frequency-delay plot is applied on HRV signals
of eight persons practicing same Chi-meditation and four other
persons practising same Kundalini yoga. To substantiate the result
for larger sample of data, statistical Student t-test is applied, which
shows a satisfactory result in this context. The experimental results
established that the Chi-meditation has large impact on the HRV
compared to the Kundalini yoga.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
84 |
121 |
275 |
285 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
67 |
137 |
79 |
66 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT
Vimal, S.; Khari, Manju; Dey, Nilanjan; González-Crespo, Rubén ; Harold Robinson, Yesudhas (Computer Communications, 01/02/2020)The Mobile networks deploy and offers a multiaspective approach for various resource allocation paradigms and the service based options in the computing segments with its implication in the Industrial Internet of Things ... -
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ... -
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
Fong, Simon James; Li, Gloria; Dey, Nilanjan; González-Crespo, Rubén ; Herrera-Viedma, Enrique (Applied Soft Computing Journal, 08/2020)In the advent of the novel coronavirus epidemic since December 2019, governments and authorities have been struggling to make critical decisions under high uncertainty at their best efforts. In computer science, this ...