Conference PaperPDF Available

Enhancing Human Brain Neural Activity through Sanathan Vedic Chanting with spectral analysis of EEG Patterns

March 2024

DOI:10.1109/INOCON60754.2024.10512249

Conference: 2024 3rd International Conference for Innovation in Technology (INOCON)

Authors:

Dr. V.J.K.Kishor Sonti

Sathyabama Institute of Science and Technology

Signal analysis procedure.

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EEG Probe Locations.

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Enhancing Human Brain Neural Activity through

Sanathan Vedic Chanting with spectral analysis of

EEG Patterns

1st Raghavaswamy Nalluri

Research Scholar, dept. of ECE,

Sathyabama Institute of Science and Technology

Chennai, INDIA

raghavaswamynv@gmail.com

2nd V.J.K.Kishor Sonti

Professor, dept. of ECE,

Sathyabama Institute of Science and Technology

Chennai, INDIA

kishoresonti.ece@sathyabama.ac.in

Abstract—In this paper, a novel method of improving neural

activity of human brain using sanathan Vedic chanting. The

controversial effects of music on brain activity have sparked

particular interest in the link between music perceptions and

brain waves.Music can be a restorative trigger and have antide-

pressant properties, but it can also have proconvulsant properties,

such as inducing epileptic seizures.However, there are various

varieties of regular music—happy, calming, sad, and liking—and

the neuro activity varies depending on the individual, their age,

and the context. In this research, Sanathan Vedic Chanting (SVC)

is offered as a regular music therapy for this problem, and

its effects on several age groups are investigated. Rudram is

interpreted as vedic chanting, and in a MATLAB environment,

spectrum analysis is performed using the appropriate EEG

patterns that were obtained from the laboratory were analyzed

and observed the impact of vedic chanting signal energy. The

effects of Sanathan Vedic chanting on human brain activity have

been demonstrated by the results.

Index Terms—sanathan vedic chanting, relaxing factor, power

spectrum, EEG Patterns, absolute power

I. INTRODUCTION

The study of emotions in music has drawn more and

more interest over the last twenty years from academics in

a variety of ﬁelds, such as computer science and experimental

psychology. From the beginning of time, music has played

a signiﬁcant role in human existence because of its capacity

to elicit strong emotions. When calming, rhythmic music is

played on a ﬂute, it affects the physiological and physical

states of all living things. Plants, animals, and humans in

particular are all attracted to the sound of the ﬂute like a

magnet [1]. Even if people try not to feel bad, other people

could ﬁnd solace in the sorrow that music portrays [2]. The

taste for depressing music may also be inﬂuenced by personal

characteristics and musical elements. However, the character-

istics of music ﬂuctuate depending on the style and genre,

which results in varying effects on brain signals. For instance,

calm, slow classical music can be utilised to relax [3]. Hence,

the MUSIC category for relaxation depends on the perception

of individual behaviour of human. People frequently listen to

music while carrying out daily or normal duties. For both

computer work and travel, the majority of people prefer to

listen to music.Advances in neuroimaging methods make it

simple to comprehend how the brain functions [4] and how

music affects the brain.

The Vedas are incomplete without their mantras. Every

mantra has the capacity to cause the human body to vibrate

in a particular way according to its intended purpose [5]. The

majestic vibrations of Sabda and Nada are said to express

and realise the absolute existence of the Brahm, according to

the Vaidika texts explaining the birth of the universe [1].It

can be helpful to listen to Vedic chants and Indian traditional

music with instruments as they help reduce anxiety brought

on by a fear of intrusive treatments [6].The effects of OM

chanting on the brain’s stress levels reduction are seen in

[7]– [9]. According to the study, practising Om meditation

for 30 minutes can help you relax. In the event practise this

every day, it may also help to de-stress [8]. One of the most

effective ways to improve memory and quiet the mind is to

recite Om aloud using a conventional method [9]. Few authors

[10]-[13] have concentrated on impact of Gayatri Manatra

on mindfulness and reduced stress levels and ﬁnds a strong

correlation between the frequencies produced by reciting the

Gayatri mantra and the natural resonance frequencies of the

human body. Prasad, M. G. [14] have presented the importance

of Sanatana dharma towards sound by Vedic chanting, music,

bhajan and Keerthana. It will not only help in spiritual life

but also solution for problems faced in daily life. Effects

of EMF radiation on human beings through chanting, mu-

sic, sloka recitation, duas, and mantras is discussed in [15]

and concluded that every illness has a negative energy and

frequency, which Sanathan Dharma can help with. In [15],

the sound waves generated by Vedic chanting is converted

into electromagnetic waves using antennas and fed to patients

suffering from Knee pains. Sanskrit slokas and mindfulness

is mentioned in [16] and concludes that Sanskrit Shloka the

group that Chants scores higher on mindfulness than the non-

Chanting group does.

In this article, Fourier analysis is used to investigate the

effect of Rudram (Namakam Chamakam) on brain relaxation.

The suggested relaxation factor is assessed for a range of

2024 3rd International Conference for Innovation in Technology (INOCON)

arnataka, India. Mar 1-3, 2024

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Fig. 1. Signal analysis procedure.

ages, and its variations are examined. Furthermore, different

phases for studying the brain’s EEG signals prior to, during,

and following Rudram are suggested. The remaining work is

arranged as follows: Section II describes the steps involved

in the signal acquisition procedure. Section III discusses the

experimental approach and speciﬁcations; Section IV conducts

the analysis and results; and Section V presents the ﬁndings.

II. PROPOSED APPROACH

Each of the ﬁve stages of signal processing are used in

the suggested way of utilising Vedic chanting (Rudram) to

improve the relaxing impact for various age groups. Fig. 1

depicts the steps in the suggested strategy in visual form. Dur-

ing the ﬁrst phase, an EEG machine is used to gather data from

the individuals being evaluated, and it is then saved in a CSV

ﬁle. right next to it, noise removal is applied to the obtained

data within the MATLAB environment. The corresponding

power spectrum is then generated after the signal has been pre-

processed using Fourier Analysis for spectral evaluation. The

features are retrieved in the fourth stage in order to estimate the

relaxing factor for different frequency bands, and conclusions

are then based on the relaxing factor.

A. Data Acquisition

In this, EEG equipment is used to record brain impulses,

which are then saved in a CSV ﬁle. This information is

gathered at different points in time, such as prior to, during,

and following chanting. Figure 2 displays the items found in

the obtained signals. The brain is composed of eight terminals

on the left side and eight terminals on the right. Data is

gathered from these terminals during different phases of the

experiment. The scalp location collected is named as FP1, F7,

Fig. 2. EEG Probe Locations.

T3, T5, F3, C3, P3, O1 on left side and FP2, F8, T4, T6, F4,

C4, P4, and O2on right side of brain.

B. Signal construction

In this, the acquired data from brain is formed into signals

with sampling frequency of 1024 Hz. The signal duration

is 1 minute, and the corresponding length of the signal is

15360 samples. These signals are collected in six stages and

the corresponding data is stored. The acquired data is called

into MATLAB environment and is processed with proposed

algorithm. Each electrode of the brain is treated as a separate

signal and processed as new experiment. Each data is collected

for feature extraction and decision making.

C. Spectral Analysis

In this, the electrode signals are analysed in frequency

domain using Fast Fourier Transform (FFT) based power

spectrum. The spectrum consisting various frequency bands

with maximum frequency range of 512 Hz. The range of

frequencies need to be considered are mentioned in the Ta-

ble.1 [16]. The alpha value has many sub bands which will

reﬂects various emotions [17]. As the power of alpha range

increases, the relaxing levels of human brain will increase.

Hence, detection of alpha bands is a crucial part in frequency

spectral analysis. Further, the separation of alpha bands from

other brain waves will also play vital role. Spectral nearness

in the different bands makes segmentation challenging and

necessitates sophisticated spectral methods. Continuing from

here, the relaxing factor is deﬁned in the next subsection and

is explained in terms of feature parameters.

D. Spectral Band Feature Extraction

In this part, feature parameters are deﬁned for relaxing

factor. The absolute power is chosen as feature parameter and

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TABLE I

FREQUENCY BANDS OF BRAIN WAVES

S.No Brain Wave Frequency Range (Hz)

1 Delta 1-3

2 Theta 4-7

3 Alpha 8-12

4 Beta 13-30

5 Gamma 30-100

Fig. 3. Experiential acquisition of EEG signals.

is deﬁne as follows. It is the sum of all frequency components

in the spectrum and is expressed as

P0=

∞



n=−∞

|f(n)|2(1)

Where f(n)is the spectral component of a speciﬁc range

in the Fourier spectrum and n is the frequency. Now the

relaxing factor is deﬁned as the ratio of absolute power of

required frequency band to absolute power of total signal. The

mathematical expression is given by

γ=P0,alpha

/P0,Total (2)

III. EXPERIMENTAL ASSESSMENT

This involves evaluating vedic chanting experimentally on

two distinct individuals. For the experiment, two people in

different age groups are selected, and the corresponding EEG

signal is collected. Person 1 is twenty-two years old, while Per-

son 2 is ﬁfty years old. Rudram (Namakam and Chamakam)

is tested for 17 minutes, and the entire experiment takes

37 minutes, including the 10 minutes before and after the

chanting. The signals of one minute duration are acquired in

six states including one in starting, 3 during vedic chanting

and two more after chanting. EEG signals are obtained in

the presence of a pathologist at the Ravi Neuro Centre in

Vijayawada. The experimental setup is shown in Fig.3.

IV. RESULTS &EVALUATION

The acquired EEG signals are processed in MATLAB envi-

ronment with signal processing tools like spectral analysis and

feature extraction. The acquired signals of a person at stage 1

and 6 are shown in Fig.4-5. It is made up of different electrode

terminal signals that are comparable at every stage and have

equal duration in the time domain. This causes uncertainty

while choosing the relaxing factor. This leads to requirement

of frequency domain analysis and is met with Fourier analysis

as shown in Fig.6.The original FFT spectrum had a maximum

frequency of 512 Hz because to sampling frequency limita-

tions. However, the alpha wave occurs between 8 and 12 Hz,

and the brain wave frequency range is limited to 100 Hz. The

spectrum is displayed using Zoom FFT up to a 50 Hz range.

The large variety of frequencies in the spectrum prevents

the identiﬁcation of the alpha wave’s power, even though

the spectrum is zoomed in. This results in the necessary

band waves’ features being extracted with complete power.

In Fig. 7, the relaxing factor discussed earlier is calculated

and displayed as a bar graph.The bar graph of person-1 in

Figure 7(a) displays the power ratio of each brain wave from

stage I to stage VI. A person with a high GAMMA wave in

the beginning of their condition implies great brain activity,

senses, and consciousness, which can extend to Stage III.

GAMMA activity vanishes in Stages IV and V, and DELTA

rises as a result of chanting-related loss of body awareness.

However, after the chanting was ﬁnished, the ALPHA bands

displayed a good indication, indicating that they were relaxed

but aware.

Similarly, person-2’s bar graph (Fig. 7(b)) displays results

comparable to those of person-1, but owing to age, it is

tense even when chanting. Even if the relaxing levels are

not very good when chanting, they improve to a good level

once the chanting is ﬁnished.The ALPHA band ratios are

presented in Fig. 8(a)–(b) to allow for the full identiﬁcation

of the relaxing factor. Before beginning to chant, Person 1’s

indication was steady; once the chanting was over, it increased

to an excellent value. However, during the entire examination

procedure, Person 2’s relaxing factor oscillates, but it rises to

a higher value at the end.

V. C ONCLUSIONS

This paper presents a novel method to improve the neural

activity of human brain using sanathan vedic chanting. Two

differently aged persons are examined using proposed topol-

ogy of improving relaxing factor. Sanathan vedic chanting of

Rudram (Namakam and Chamakam) is used to test the human

brain with EEG signals. The relaxation factor is deﬁned based

on the ratio of power of the ALPHA wave frequencies to the

total spectrum power. The results have shown that the ALPHA

waves have improved the power levels after completion of the

chanting and maintained for certain time periods. In future,

several persons with different age groups may be examined

with other vedic chanting and other time frequency methods

may be employed for better improved accuracy of relax factor.

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Fig. 4. Acquired EEG signals on the left part of the brain at stage-1.

Fig. 5. Acquired EEG signals on the left part of the brain at stage-6.

0 5 10 15 20 25 30 35 40 45 50

Frequency (Hz)

-10

Power/

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Periodogram Power Spectral Density Estimate

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Frequency (Hz)

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Power/

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Periodogram Power Spectral Density Estimate

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Periodogram Power Spectral Density Estimate

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Periodogram Power Spectral Density Estimate

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Power/

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Periodogram Power Spectral Density Estimate

0 5 10 15 20 25 30 35 40 45 50

Frequency (Hz)

-10

Power/

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Periodogram Power Spectral Density Estimate

Fig. 6. Power spectrum of person 1 at stage 1 using FFT.

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STAGE-I

ALPHA BETA GAMMA DELTA THETA