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Detection of stress and regulate using music therapy

Detection of stress and regulate using Music Therapy

DIT-National Journal on Recent Trends in Engineering, Technology & Management, VOLUME V, ISSUE I”,Dec-2017

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Ms.Shubhangi Baburao Gond Dr.BhavnaAmbudkar

Student (ME) Dept of E&TC Professor Dept of E&TC

Dr.D.Y.Patil Institute of Technology Dr.D.Y.Patil Institute of Technology

Pimpri Pune Pimpri Pune

Abstract—Music is one kind of natural and non-invasive medical

care to avoid diseases, relieve pain and stress and to build positive

mood and emotional condition. Music could also enhance memory

recovery and to provide opportunity for interaction and emotional

communication. In short we want to use music advantages such as

music knowledge”,educational patterns”,activities and systematics of

music in psychological treatment.

First of all we will try to record the brainwaves by using

electrodes, and try to find out their respective frequencies. When

low stressed frequency is detected we can say the subject to laugh.

When critical situation is detected, music therapy is used to

normalise the stress.

I. Introduction:

There are many ways to identify stress such as

measuring the heart rate by using heart rate sensor, measuring

accelerometer and skin conductance by using wrist sensor”,

measuring stress using sweat analysis. There is one more method

to identify stress by measuring brain wave frequencies.

Brain waves are the language of brain. When our brain

communicates with our nervous system some electrical pulses

flow through our body. These electrical signals which can be

measured through our scalp are called brain waves. Brain

activities can be recorded either by measuring the blood flow in

the brain or by measuring the neurons electrical activity.

Measuring neurons is more easy and feasible than by measuring

the blood flow.

We are developing a new real time control system for

customizing auditory stimulus by judging user brain waves and

to entrain a user’s feeling in the most relaxed way. Since

brainwave activity provides the necessary predictive information

for arousal states.

II. Literature Review:

This section provides the survey which is carried out in the field

of stress detection and its regulation.

Il-hyung Shin, Jaepyeong Cha, Gyeong Woo Cheon, has

proposed in his paper Automatic stress relieving music

recommendation system based on photoplethysmography

derived heart rate variability analysis to relieve stress

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automatically using music recommendation system.

AnkitaTiwarin her paper Design of a Brain Computer

Interface for Stress Removal Using Yoga a Smartphone

Application. Here designer focused on 6 yoga asanas which

helps in meditation and music therapy which helps in

reduction of stress.

Muhammad Zubair in his paper titled Wearable Stress

Monitoring System Using Multiple Sensors proposes a

wearable stress monitoring system using a body sensor

network (BSN). BSNs are made up of a number of

wearable/implantable biosensors that work together to

perform a common task.

F. Lebepe in his paper titled Smart and wearable band for

stress detection proposes an IoT based wearable band for

health care that detect mental stress based on skin


G. Ambica in her paper Study and application of

brainwaves proposes a method which allows disabled

person to communicate with other person using Brain

Computer Interface.

N.S.MohdPuzi in his paper Alpha and Beta Brainwave

Characteristics to Binaural Beat treatment experimented

with 33 students”,their brain waveforms were taken after

their exam and were tried to minimize stress using binaural

beat treatment

Andrew Campbell et al. in his paper NeuroPhone: brain-

mobile phone interface using a wireless EEG headset uses

EEG Headset and mobile handset

Y. Liu, O. Sourinaand M. K. Nguyen in their paper Real-

Time EEG-Based Human Emotion Recognition and

Visualization proposes thresholding method to identify

stress of the brainwave images.

III. What are Brain Waves

Detection of stress and regulate using Music Therapy

DIT-National Journal on Recent Trends in Engineering, Technology & Management, VOLUME V, ISSUE I”,Dec-2017

In our brain, communication between neurons occur because of

our thoughts, emotions and behavior. These neurons

communicate with each other in the form of electrical pulses.

This, in turn produces Brain waves around our scalp and can be

measured by measuring electrical activities near the scalp. There

are basically six types of brain waves-Infra low

waves”,Deltawaves”,Thetawaves”,Alphawaves”,Beta waves and

Gamma waves.

1) Delta Waves: Delta waves are usually low frequency and high

amplitude signals. These types of signal are usually observed

during deep dreamless sleep and extremely deepest meditation.

When people remain in this state, they loss total

2) Theta Waves: Theta waves are slightly highfrequency and low

amplitude than delta waves. Theta waves are usually associated

with reduced consciousness, drowsiness or light sleep.

3) Alpha Waves: Alpha waves are of around 10V peak to peak

amplitude and the most stable and balanced states. This is

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associated with physical and mental relaxation but a complete

awareness of surrounding. Alpha waves help overall mind body

coordination, calmness, alertness and learning.

4) Beta Waves: Beta waves are less than 20V peak to peak and

indicate high states of wakefulness. When we remain highly

alert, focused, or get agitated, tensed, afraid, perform

calculations, we experience more beta waves. These wave are

also associated with some mental disorders such as anxiety”,

insomnia, and OCD etc.

5) Gamma waves: Gamma waves are the highest frequency brain

waves and linked with highly disordered or restless mental

states. From the above table we can see that Gamma waves are

the most harmful and stressed brain waves.

IV. How to measure stress Brain Waves

The cerebrum or cortex is a largest part of human brain”,

associated with higher brain function such as thought and action.

The cerebral cortex is divided into four sections, called “lobes”:

the frontal lobe, parietal lobe, occipital lobe, and temporal lobe.

Depending upon brain region the human body part can be

controlled. The brain has two hemispheres, right and left. Each

hemisphere is formed of four lobes that are shown in figure

Fig (1) Brain lobes

V. Objective:

By studying the literature survey we came to our

objective of building a following system

Fig (2)

 To record brainwaves using electronics circuitry.

 To analyze the brainwave signals using Fourier

Transform in MATLAB

 To recognize the stress level in person

 To play music if person is stressed

VI. Advantages:

Detection of stress and regulate using Music Therapy

DIT-National Journal on Recent Trends in Engineering, Technology & Management, VOLUME V, ISSUE I”,Dec-2017

1. Recording of the Brainwave signal data is quite easy

2. Silver chloride electrodes is recognized worldwide as a

stable, low noise reference electrode. Hence accuracy

will be achieved.

VII. Application:

1. This system can be used to refresh the mood of different

people by music

2. The Music helps in minimizing the stress if detected

VII. Conclusion:

As stress is a most common problem available these days.

So for the mankind in this era we are developing a system for

releasing our brain from stress by making a little effort which

consumes less time. The cost of the application is very less.

By surveying all the related papers we came to the

conclusion that by analyzing the principle and advantages of

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biomedical signal using EEG technique we found that

Brainwaves are related to the human stress. We used EEG

sensors to detect the small frequency brainwaves and identified

the type of brain wave.And if stress waves are detected we

automatically played the music tone for the desired mood. We

used classical music named Pachelbel which is the most relaxing

music found.

VIII. Future Scope:

We are developing a new real time control system for

customizing auditory stimulus by judging user brain waves and

to entrain a user’s feeling in the most relaxed way. Since

brainwave activity provides the necessary predictive information

for arousal states.


[1]Yisi Liu, Olga Sourina, and Minh Khoa Nguyen Nanyang Technological

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[3]“Alpha and Beta Brainwave Characteristics to Binaural Beat treatment”

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[4] F. Lebepe, G. Niezen, G.P. Hancke and T.D. Ramotsoela 2016 “Smart

and wearable band for stress detection”

[5]Muhammad Zubair, Changwoo Yoon 2016 “Wearable Stress Monitoring

System Using Multiple Sensors ”

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