INVESTIGATIVE ANALYSIS OF ALPHA BRAINWAVE RELAXATION IN ALERT STATE DUE TO LISTENING OF VEDIC CHANTING FROM EEG OF BRAINWAVES

Abstract

INVESTIGATIVE ANALYSIS OF ALPHA BRAINWAVE RELAXATION IN ALERT STATE DUE TO LISTENING OF VEDIC CHANTING FROM EEG OF BRAINWAVES The method for the development of a novel method of improving neural activity of human brain using sanathan Vedic chanting. The music, ragas, mantras is believed to have a great influence on our psychic system. The acoustic sound that generates out by the pronunciation of Vedic text or mantras from sanathan Vedas like chanting is believed to have a great influence on human neurological system. In neuroscience perceived that tuning in to music, mantras, ragas and Vedic chanting are an impact on all human cognitive functions like happy, calming, sad, relaxation to reduce stress and anxiety. Also effect on blood pressure (BP) and oxygen levels (spo2). An Acoustic signals originating from traditional Vedic chanting produce vibrations they exiting brainwaves (alfa, beta gamma, delta and theta) have beneficial effects both on chanters and listeners. The neuro activity varies depending on the individual, their age, and the context. The spectrum analysis is performed using the appropriate (Electroencephalogram) EEG patterns that were obtained from the laboratory were analyzed and observed the impact of Vedic chanting signal energy. Extract the behavior of alpha (8-12 Hz) brain wave relaxation factor in alert state. FIG.1

Specification

Description:INVESTIGATIVE ANALYSIS OF RELAXATION IN ALERT STATE DUE TO LISTENING OF VEDIC CHANTING USING EEG OF BRAINWAVES

Technical Field
[0001] The embodiments herein generally relate to a method for method for investigative analysis of relaxation in alert state due to listening of Vedic chanting using EEG of brainwaves.
Description of the Related Art
[0002] Many studies have been conducted on the connection between brain activity and auditory stimuli, especially when it comes to cognitive and relaxing states. The ancient Indian practice of Vedic chanting is distinguished by its rhythmic repetition and tonal patterns, which are thought to have healing properties. New research is starting to look into how these chants affect mental states especially relaxation while keeping the mind vigilant.
[0003] Several research works have examined the effects of sound frequencies and music on mental and physical states of relaxation. For example, studies on the Mozart effect have demonstrated that some musical works can promote relaxation and improve brain function. Similar to this, sound therapy has been shown to be beneficial in lowering tension and fostering relaxation. This includes the use of Tibetan singing bowls and ambient music. These findings provide a background for understanding how Vedic chanting may exert similar influences. Studies that use EEG to investigate relaxation usually look at the benefits of guided imagery, mindfulness meditation, or particular musical genres. For instance, research has shown that engaging in mindfulness activities might cause changes in brainwave patterns that point toward a more relaxed state. But more research is needed to determine exactly how Vedic chanting affects brainwave activity, especially when one is awake.
SUMMARY
[0001] In view of the foregoing, an embodiment herein provides a method for investigative analysis of relaxation in alert state due to listening of Vedic chanting using EEG of brainwaves. In some embodiments, wherein an established technique to measure brain electrical activity is electroencephalography (EEG). It records brainwaves in the beta, gamma, theta, alpha, beta, and delta frequency bands, each of which is linked to a particular level of consciousness. Since alpha waves (8-12 Hz) are frequently associated with attentive but relaxed states, prior research suggests that EEG is a perfect instrument for analyzing the effects of Vedic chanting.
[0002] In some embodiments, wherein it is suggested that Vedic chanting, with its distinct tonal and rhythmic structure, induces a meditative state that promotes calmness and relaxation. According to certain research, listening to Vedic chants might boost mood and lower stress hormones. Nevertheless, there are still few empirical studies that particularly use EEG to assess the neurophysiologic underpinnings of this relaxation effect.
[0003] In some embodiments, wherein examining how Vedic chanting affects relaxation using EEG data offers a unique combination of traditional methods and contemporary neuroscience. In addition to attempting to close gaps in the literature, this study intends to shed light on the ways in which auditory stimuli can advantageously influence brain activity. Comprehending these systems may result in improved therapeutic strategies aimed at improving cognitive function and managing stress across diverse groups.
[0004] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.

BRIEF DESCRIPTION OF THE DRAWINGS
[0001] The embodiments herein will be better understood from the following detailed description with reference to the drawings, in which:
[0002] FIG. 1 illustrates a method for method for work flow according to an embodiment herein; and
[0003] FIG. 2 illustrates a method for signal analysis procedure according to an embodiment herein.
DETAILED DESCRIPTION OF PREFERRED EMBODIMENTS
[0001] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0002] FIG. 1 illustrates a method for method for work flow according to an embodiment herein. In some embodiments, the exciting brainwaves through acoustical signals originating from Vedic chanting to influence the brain's electrical activity. This process neuroacoustic stimulation. To study brainwave frequencies, brainwaves are categorized into different types based on their frequency ranges, Delta (0.5-4 Hz): Associated with deep sleep and restorative processes. Theta (4-8 Hz): Linked to light sleep, relaxation, and creativity. Alpha (8-12 Hz): Related to relaxed wakefulness and calm focus. Beta (12-30 Hz): Associated with active thinking, problem-solving, and concentration. Gamma (30-100 Hz): Linked to higher cognitive functions and sensory perception.
[0003] Exploring these acoustical signals originating from Vedic chanting can offer various mental and emotional benefits, and integrating them thoughtfully into your routine might help you achieve specific cognitive and emotional goals. These acoustical signals can influence mood and cognitive states indirectly, promoting relaxation or alertness depending on the nature of the sound.
[0004] EEG (electroencephalography) recording is a technique used to measure and record the electrical activity of the brain. It involves placing electrodes on the scalp to capture electrical signals generated by neuronal activity.
[0005] Electrodes which are small sensors that are placed on the scalp to detect electrical activity. The most common EEG systems use a cap with multiple electrodes positioned according to the International 10-20 system, which standardizes electrode placement. EEG signals are very small (microvolt's), so amplifiers are used to increase the signal strength for recording and analysis. The EEG machine collects the electrical signals from the electrodes and converts them into a digital format for analysis. The signal recording includes electrical activity, waveforms and frequency bands.
[0006] Neurons communicate through electrical impulses, which create small voltage fluctuations detectable on the scalp. The electrical activity is recorded as waveforms that reflect different brain states. These include alpha, beta, theta, and delta waves, each associated with different states of consciousness and mental activities. EEG data is analyzed in terms of frequency bands (delta, theta, alpha, beta, and gamma) to interpret different brain states and functions. EEG is non-invasive and generally safe, though some individuals may find the setup uncomfortable due to the electrodes and gel. Researchers use EEG to study brain function related to cognition, perception, and emotion.EEG recording is a valuable tool in both clinical and research settings, offering insights into brain function, diagnosing neurological conditions, and exploring cognitive processes.
[0007] FIG. 2 illustrates a method for signal analysis procedure according to an embodiment herein. In some embodiments, the signal denoising is a critical step in signal processing that aims to remove or reduce noise from a signal while preserving important features. In the context of EEG or other types of signal data, denoising helps improve the quality of the data and the accuracy of subsequent analyses. Expected to arise noise in wires and sensors in EEG machine. Extracting alpha brainwaves from EEG (electroencephalography) signals involves isolating the specific frequency band associated with alpha waves (8-12 Hz). This process can be accomplished using various signal processing techniques. Here's a step-by-step guide to extracting alpha brainwaves from EEG data. This workflow provides a basic approach to extracting alpha brainwaves from EEG signals. For more advanced analyses, incorporating time-frequency representations and addressing artifacts can enhance the accuracy and relevance of the results.
[0008] The various Vedic chanting had precise various pronunciation, intonation, and rhythm impact of these acoustical signals excite brainwave in different levels. Also based on different age groups and different stress levels excitation of brainwaves also different. Extracting alpha brainwaves from EEG (electroencephalography) signals between (8-12 Hz) and calculated percentage of relaxation from acoustic signals from different Vedic chanting.
, Claims:I/We Claim:
1. A method for method for investigative analysis of relaxation in alert state due to listening of Vedic chanting using EEG of brainwaves, wherein the method comprises;
collecting of data includes EEG data which will be collected continuously during three phases: a baseline (resting state), during the chanting, and a post-listening period;
signal construction includes the raw EEG signals obtained from participants will undergo pre-processing to remove artifacts (e.g., eye movements, muscle activity) that may interfere with data interpretation;
conducting spectral analysis on the cleaned EEG signals using techniques such as Fast Fourier Transform (FFT) to identify the frequency components of the brainwaves;
extracting key features from the spectral analysis results, including the relative power of alpha waves during the chanting phase compared to baseline and post-listening phases; and
providing empirical evidence through rigorous scientific methods, this research aims to contribute to the understanding of how traditional practices like Vedic chanting can be integrated into modern mental health and cognitive enhancement strategies.

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