Venkateswarlu Lendale
Dept. of Computer Science & Engineering (CSE),Geethanjali College of Engineering and Technology, Hyderabad, India

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Effectiveness of mindfulness – Evaluation using machine learning algorithm Krishnamurthy Ramasubramanian; Venkateswarlu Lendale; Gillala Rekha; Kalambur Swaminathan Lavanya
Jurnal Inovasi Teknologi Vol 3 No 1 (2022): Articles in Press
Publisher : Engineering Forum of Western Indonesian Government Universities Board (Forum Teknik, BKS-PTN Wilayah Barat) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jit.v3i1.3337

Abstract

Mindfulness is a practice that is thousands of years old. This practice is also included in the modern mindfulness-based stress reduction training, and its effects on our cognitive system are supported by extensive literature that comprehend mostly fMRI studies and task-oriented experiments with control groups. In this paper, the problem of testing the effects of mindfulness therapy, with specific regard to the yoga practice, is addressed with a Network-Oriented Modelling approach. The first component of the proposed network simulates the elicitation of an extreme stressful emotion due to a strong stress-inducing event. This was done following the same line of previous papers that proposed simulations of similar processes. A second component represents the role of memory, attention, and self-awareness in coping with the stressful event. Finally, the yoga practice, divided into physical movements and breathing, is modelled, to show its influence on memory, attention, and self-awareness, leading in this way to a reduction of the stress level.
Effectiveness of mindfulness: The evaluation using machine learning algorithm Krishnamurthy Ramasubramanian; Venkateswarlu Lendale; Gillala Rekha; Kalambur Swaminathan Lavanya
Jurnal Inovasi Teknologi Vol 3 No 1 (2022): April
Publisher : Engineering Forum of Western Indonesian Government Universities Board (Forum Teknik, BKS-PTN Wilayah Barat) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/jit.v3i1.3337

Abstract

Mindfulness is a practice that is thousands of years old. This practice is also included in the modern mindfulness-based stress reduction training, and its effects on our cognitive system are supported by extensive literature that comprehend mostly fMRI studies and task-oriented experiments with control groups. In this paper, the problem of testing the effects of mindfulness therapy, with specific regard to the yoga practice, is addressed with a Network-Oriented Modelling approach. The first component of the proposed network simulates the elicitation of an extreme stressful emotion due to a strong stress-inducing event. This was done following the same line of previous papers that proposed simulations of similar processes. A second component represents the role of memory, attention, and self-awareness in coping with the stressful event. Finally, the yoga practice, divided into physical movements and breathing, is modelled, to show its influence on memory, attention, and self-awareness, leading in this way to a reduction of the stress level.