Neurodawn: An EEG-Based Non-Invasive Neuromodulation Prototype for Parkinson’s Disease

Rayyan Athaillah Muntazhar, Muhammad Azzam Alfarabi, Afryansyah Afryansyah

Abstract


Parkinson’s disease (PD) is a chronic neurodegenerative disorder that significantly affects patients’ quality of life, thereby necessitating safe, adaptive, and accessible intervention approaches. This study aims to develop Neurodawn, an electroencephalography (EEG)-based non-invasive neuromodulation prototype as a health technology innovation to support Parkinson’s disease management while strengthening a holistic approach aligned with ethical principles and humanistic values. The research employs a research and development (R&D) method, encompassing stages of system design, EEG device integration, signal processing, and initial performance evaluation of the prototype. The innovation of Neurodawn lies in the utilization of EEG signals as the foundation for developing a non-invasive neuromodulation system designed to minimize clinical risks and enhance user comfort. Beyond technical aspects, this study emphasizes key health ethics principles, including non-maleficence, beneficence, patient autonomy, equity in access to healthcare services, and the protection of neurophysiological data privacy as integral components of technology ethics. The spiritual perspective is understood as strengthening patient resilience through meaning, hope, and social support in coping with chronic illness. The development results indicate that Neurodawn can be implemented as a functional prototype and has the potential to be further developed as a supportive non-invasive intervention technology for patients with Parkinson’s disease. The integration of science, ethics, and spirituality forms the foundation to ensure that this innovation is both beneficial and dignified.


Keywords


EEG, Non-Invasive, Parkinson’s Disease, tACS

Full Text:

PDF

References


Afriani, L., Mutmainnah, & Sunarni. (2025). Understanding the design of research and development methods in the field of education. IJESS: International Journal of Education and Social Science, 6(1), 1–5.

https://doi.org/10.56371/ijess.v6i1.333

Bichachi, R. (2024). Research and development: R&D guide. Oracle NetSuite.

https://www.netsuite.com/portal/resource/articles/accounting/research-development.shtml

Diotaiuti, P., Marotta, G., Vitiello, S., Di Siena, F., Palombo, M., Langiano, E., Ferrara, M., & Mancone, S. (2025). Biofeedback for motor and cognitive rehabilitation in Parkinson’s disease: A comprehensive review of non-invasive interventions. Brain Sciences, 15(7), Article 720.

https://doi.org/10.3390/brainsci15070720

Martatiyana, D. R., Usman, H., & Lestari, H. D. (2023). Application of the ADDIE model in designing digital teaching materials. Journal of Education & Teaching Primary School Teachers, 6(1), 105–109.

National Center for Science and Engineering Statistics. (2022). Definitions of research and development: An annotated compilation of official sources (NCSES 22-209). National Science Foundation.

https://ncses.nsf.gov/pubs/ncses22209

Nugraha, F. M. E., & Setiyawan, M. (2025). Implementation of the ADDIE model in chatbot development using Diagramflow. Journal of Technology and System Information, 2(2), Article 9.

https://doi.org/10.47134/jtsi.v2i2.3758

Ortega-Robles, E., Carino-Escobar, R. I., Cantillo-Negrete, J., & Arias-Carrión, O. (2025). Brain–computer interfaces in Parkinson’s disease rehabilitation. Biomimetics, 10(8), Article 488.

https://doi.org/10.3390/biomimetics10080488

Romero, J. P., Moreno-Verdú, M., Arroyo-Ferrer, A., Martínez-García, M., Sánchez-Sánchez, J., & García-Ramos, R. (2024). Clinical and neurophysiological effects of bilateral repetitive transcranial magnetic stimulation and EEG-guided neurofeedback in Parkinson’s disease: A randomized four-arm controlled trial. Journal of NeuroEngineering and Rehabilitation, 21, Article 135.

https://doi.org/10.1186/s12984-024-01427-5

Rohr-Fukuma, M., Stieglitz, L. H., Bujan, B., Jedrysiak, P., Oertel, M. F., Salzmann, L., Baumann, C. R., Imbach, L. L., Gassert, R., & Bichsel, O. (2024). Neurofeedback-enabled beta power control with a fully implanted DBS system in patients with Parkinson’s disease. Clinical Neurophysiology, 165, 1–15.

https://doi.org/10.1016/j.clinph.2024.06.001

von Altdorf, L. A. W. R., Bracewell, M., & Cooke, A. (2025). Effectiveness of electroencephalographic neurofeedback for Parkinson’s disease: A systematic review and meta-analysis. Journal of Clinical Medicine, 14(19), Article 6929.

https://doi.org/10.3390/jcm14196929

Ye, F., Shao, Y., Wu, G., Huang, M., & Huang, H. (2025). Effects of transcranial alternating current stimulation on neurophysiologic motor function in Parkinson’s patients: A systematic review and meta-analysis. Frontiers in Aging Neuroscience, 17, Article 1621052.

https://doi.org/10.3389/fnagi.2025.1621052

Bichachi, R. (2024). Research and development: R&D guide. NetSuite.

https://www.netsuite.com/portal/resource/articles/accounting/research-development.shtml

Diana R. Martatiyana, H. Usman, & H. D. Lestari. (2023). Application of the ADDIE model in designing digital teaching materials. Journal of Education & Teaching Primary School Teachers, 6(1), 105–109.

Nugraha, F. M. E., & Setiyawan, M. (2025). Implementation of the ADDIE model in chatbot development using Diagramflow. Journal of Technology and System Information, 2(2), Article 9.

https://doi.org/10.47134/jtsi.v2i2.3758




DOI: http://dx.doi.org/10.58836/jpma.v16i2.28450

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

Jurnal Penelitian Medan Agama

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.