The response of EEG signal on Brain Relaxation Meditation using different type of zikr

Depression and stress are increasingly prevalent in today’s society, owing to people's hectic, competitive, and demanding lifestyles. These illnesses had become very common, particularly among young and middle-aged people, and suicidal ideation had been identified as one of the leading causes of death by the World Health Organization (WHO). Nature sound (sound of downpours or beach) has been linked to depression and anxiety in neurology research, and it has been shown to be an alternative to alleviate anxiety. The electroencephalogram (EEG) waveform has been discovered to possess the potential in identifying information from the brain signal as well as data from the past via Bluetooth communication. The waveform use in the study are the result of a few experiments. In this study, EEG data were collected from eight subjects, four males and four females, in between the age of 20 to 30 years old and in good health, using the BrainLink device. The participants were asked to listen to two playlists of zikr, Allah, Ya Allah, and SubhanAllah, during the experiments. To smooth the signal, the Butterworth filter was used. Later, the extracted features were Alpha, Beta, and Delta waves, which were segmented based on the filtered signal. To complete the decision-making stage, the average value of amplitude differences and the p-value test were performed in the final phase. Based on the results of the experiments, it is clear that zikr is dominant in Delta wave. In terms of data hypothesis analysis, the results of both experiment were differentiated to determine which brain signal was dominant, and pvalue testing was performed. Furthermore, this research is an alternative to current methods because it suggest that zikr has the tendency to alter a person's brain state to be either in a relaxed or calm mode regardless of the type of zikr recitation. As an outcome, the study recommends the relationship of the reaction of EEG signal on brain relaxation with different types of zikr in order to facilitate stress and anxiety patients to achieve relax or calm condition

The effect of meditation on brain relaxation incorporating different physiological activities

Anxiety and depression have become such a widespread illness. It has been affecting people's health which can lead to suicidal tendencies. Studies related to depression and stress with the nervous system had been conducted and showed that slow music could be one of the methods to reduce stress. Electroencephalogram (EEG) signal is found to have potentials to detect brainwave signal as in real time data as well as history data through Bluetooth wireless communication. All the signals utilized in this paper are obtained from few experiments done, which contains of various physiological activities done by the volunteers. The features of EEG signal then will be extracted using EEG recorder. Based on the experimentation result, it can be observed that different physiological activities will result in different dominant brainwave signal. For sitting at rest, shows alpha wave dominant compared to others. For the second physiological activity which is listening and reciting the zikr, shows delta wave is the most dominant compared to alpha, beta, theta, and gamma and for walking in the park showed presiding in beta wave. As for the benchmarking, all the three physiological activities were compared to know which brainwave is the most ascendant. In addition, this study is a better alternative to the current approaches since it proves that zikr will change a person state of brain to be more relax and calming. Thus, the research will propose a study of the effect of brainwave on brain relaxation in corporation with different physiological activities to help anxiety and stress patient to relax and stay calm

Wearable smartphone sync wireless remote health monitoring system

Photoplethysmogram (PPG) signal is found to have potentials to detect pulse rate, Galvanic Skin Response (GSR) signal to detect skin conductivity and skin temperature as in real time data as well as history data through Bluetooth wireless commu-nication. All the signals utilized in this paper are obtained from few experiments done, which contains of various PPG and GSR signals from volunteers. The features of PPG and GSR signals such as the beginning and end point of a cycle of PPG signal and its peaks then will be extracted using Processing.org. Test results from a group of volunteers shows the real-time temperature reading successfully monitored locally (at home). The reading taken are the pulse rate, body temperature and skin conductivity. Based on the experimentation result, it can be observed that female have higher pulse rate as compared to male. Besides that, for body temperature, male have higher body temperature than female. For skin conductivity, male have higher skin conductivity than female due to their physical activity. The readings had been later compared to commercial pulse rate, body temperature thermometer as well as skin conductivity device. Based on the benchmarking, all three sensors has error which is less than 3% which shows that it is good reliable. In addition, this study is a better alternative to the cur-rent approaches since it combines three test parameters in one portable device. Thus the research will propose a remote health monitoring system which combines three vital tests parameters to facilitate caretakers, medical practitioners in observ-ing the patient in need

How do you express yourself?

The IIUM SEMINAR SERIES are e-books based on Phase 1 Kulliyyah of Medicine, IIUM, MBBS student seminar presentations. As part of the curriculum, all students are required to present one seminar. Topics covered are varied and not necessarily related to medicine. This e-book is based on the topic of self-expression touching on the definition, importance and various forms of self- expression. It will also cover tips to enhance self-expression and some Islamic input on the topic

Abstracts of the International Halal Science Conference 2023

This book presents the extended abstracts of the selected contributions to the International Halal Science Conference, held on 22-23 August 2023 by the International Institute for Halal Research and Training (INHART), IIUM, Malaysia in collaboration with Halalan Thayyiban Research Centre, University Islam Sultan Sharif (UNISSA), Brunei Darussalam. With the increasing global interest in halal products and services, this conference is timely. Conference Title:  International Halal Science ConferenceConference Acronym: IHASC23Conference Theme: Halal Industry Sustainability Through ScienceConference Date: 22-23 August 2023Conference Venue: International Islamic University (IIUM), MalaysiaConference Organizer: International Institute for Halal Research and Training (INHART), International Islamic University (IIUM), Malaysi