A Study on AI-Driven, Cloud-Based Neurofeedback Platform for Children with Developmental Disorders

要旨

Developmental disorders present significant challenges for children's learning and overall well-being, necessitating innovative and effective support strategies. This study investigated the efficacy of a novel, AI-driven, cloud-based neurofeedback training (NFT) system in enhancing attention, speech development, and behavior among young children (aged 4-8 years) with developmental disorders in Malaysia. Adopting a qualitative quasi-experimental design with a pre-test/post-test framework, seven children participated in a structured NFT program involving a minimum of 72 sessions over at least six months. Data were gathered through comprehensive brainwave analysis using the specialized NFT system, supplemented by researcher observations and in-depth parental interviews. The findings revealed significant positive changes in brainwave patterns indicative of improved self-regulation. Correspondingly, participants demonstrated notable enhancements in attention, communication skills, and a reduction in behavioral problems. The integration of AI and cloud technologies in this NFT system allowed for personalized intervention protocols and suggests a pathway towards more accessible and scalable tech-driven solutions in developmental support. This research underscores the potential of advanced neurofeedback technology to provide a non-invasive and impactful intervention, offering valuable insights for practitioners, educators, and potentially shaping new avenues for entrepreneurial ventures in the EdTech and HealthTech sectors focused on child development.