Although the usual management consists of sedation, non-pharmacological interventions such as music therapy have been suggested for their drug-sparing effect.
The underlying clinical condition and the Intensive Care Unit (ICU) environment make critical illness a stressful event. Our results show that these computational techniques are effective in distinguishing music genres based on their effects on human brains. Additionally, the recorded brain waves identify different gamma wave levels, which are crucial in detecting epileptic seizures. The model also reaches 98.6% accuracy in classifying music based on participants' subjective rating of emotion. Our analysis shows that NN, along with Genetic Algorithm (GA) feature selection, can reach the highest accuracy of 97.5% in classifying the 3 music genres. Using these features we built classification models based on K-nearest Neighbour (KNN), Support Vector Machine (SVM) and Neural Network (NN). Statistical features were extracted from the signals and useful features and channels were identified using various feature selecting techniques. Brain activity was recorded using a 14-channel headset from 24 participants while they listened to different music stimuli. In this paper, we take a computational approach to understand the effects of different types of music on the human brain we analyse the effects of 3 different genres of music in participants electroencephalograms (EEGs). While music can have an anticonvulsant effect on the brain and act as a therapeutic stimulus, it can also have proconvulsant effects such as triggering epileptic seizures. The relationship between music stimuli and brain waves has been of particular interest due to music's disputed effects on brain activity. Recently, researchers in the field of affective neuro-science have taken a keen interest in identifying patterns in brain activities that correspond to specific emotions. This study will also be useful inīroadening the range of music stimuli used in affective computing Stimuli can improve focus can be highly beneficial in managingĭay-to-day tasks and activities. High level valence can help improve focus. Music containing a sombre tone, or familiar popular music with Empirical analysis of the results show that binaural beats, which are believed to increase focus on tasks, can oftenĬause discomfort and therefore hinder focus. Responses were collected, processed and analyzed to classify two Initial analysis was conducted on theĬomments participants made on the different stimuli in order to The effects of six different music stimuli on participants’ verbalĪnd physiological responses while identifying genuine and actedĮmotions from video clips.
However, it is unclear what types of music can help to improveįocus while doing other activities. Music is a universal medium that can elicit strong emotion, andĬan significantly help us in gaining focus while doing specific tasks.
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