Research Article
Open Access
IRENIC: A Prototype and a Review for Developing a Non-invasive Device Revolutionizing the Neuro-diagnostics and Cognitive Therapy
1
Department of Anatomy, Apollo Institute of Medical Sciences and Research, Hyderabad, India
2
Independent Researcher, Hyderabad, Telangana, India
3
Department of Artificial Intelligence, Mahindra University, Hyderabad, Telangana, India
4
School of Business, RV University, Bangalore, Karnataka, India
5
Department of Anatomy, Sree Balaji Medical College and Hospital, BIHER, Chennai, Tamil Nadu, India
6
Department of Anatomy, Sree Lakshmi Narayana Institute of Medical Sciences, Chennai, Tamil Nadu, India
* Corresponding Author:
Nitya Waghray,
[email protected]
Volume 2, Issue 2
2026
Received: 03 January 2026
Accepted: 27 April 2026
Published: 27 May 2026
Article Information
Published in
Biomedical Informatics and Smart Healthcare
Volume/Issue
Volume 2, Issue 2, 2026
Pages
79-85
Abstract
Mental health disorders pose a significant global burden, yet integrated non-invasive tools for simultaneous neurodiagnosis and therapy remain limited. This paper introduces IRENIC, a wearable prototype integrating an EEG skull cap for real-time brain monitoring, pre-stored SPECT/PET databases, AR visualization, psychometric tools, AI algorithms — including CNNs and reinforcement learning — that correlate EEG with neuroimaging data including brain stimulation games, cognitive therapy, calming music, and yoga mudras. The validated conceptual design enables EEG acquisition, AI-powered multi-modal correlation, psychometric evaluation, and closed-loop therapy delivery within a single platform. IRENIC achieves improved completeness over isolated modalities by integrating assessment, visualization, and intervention, with workflow analysis confirming technical viability of real-time data collection, AI-driven interpretation, and personalized feedback in a wearable format. This device offers a scalable paradigm for integrative mental health technology, addressing accessibility and personalization gaps by combining diagnostics and therapy. While focusing on conceptual validation, this work establishes a foundation for future clinical trials, quantitative validation, and AI-enabled neurotherapeutic interventions.
Graphical Abstract
Keywords
IRENIC
EEG
non-invasive brain stimulation
neurodiagnostics
cognitive therapy
augmented reality
artificial intelligence
multimodal integration
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
AI Use Statement
The authors declare that no generative AI was used in the preparation of this manuscript.
Ethical Approval and Consent to Participate
Not applicable.
References
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Cite This Article
APA Style
Waghray, N., Waghray, A., Mahendra, R., Sabat, K., Rajasundaram, A., & Johnson, W. M. S. (2026). IRENIC: A Prototype and a Review for Developing a Non-invasive Device Revolutionizing the Neuro-diagnostics and Cognitive Therapy. Biomedical Informatics and Smart Healthcare, 2(2), 79-85. https://doi.org/10.62762/BISH.2026.779754
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TY - JOUR AU - Waghray, Nitya AU - Waghray, Adarsh AU - Mahendra, Rishabh AU - Sabat, Kalicharan AU - Rajasundaram, Archana AU - Johnson, W.M.S. PY - 2026 DA - 2026/05/27 TI - IRENIC: A Prototype and a Review for Developing a Non-invasive Device Revolutionizing the Neuro-diagnostics and Cognitive Therapy JO - Biomedical Informatics and Smart Healthcare T2 - Biomedical Informatics and Smart Healthcare JF - Biomedical Informatics and Smart Healthcare VL - 2 IS - 2 SP - 79 EP - 85 DO - 10.62762/BISH.2026.779754 UR - https://www.icck.org/article/abs/BISH.2026.779754 KW - IRENIC KW - EEG KW - non-invasive brain stimulation KW - neurodiagnostics KW - cognitive therapy KW - augmented reality KW - artificial intelligence KW - multimodal integration AB - Mental health disorders pose a significant global burden, yet integrated non-invasive tools for simultaneous neurodiagnosis and therapy remain limited. This paper introduces IRENIC, a wearable prototype integrating an EEG skull cap for real-time brain monitoring, pre-stored SPECT/PET databases, AR visualization, psychometric tools, AI algorithms — including CNNs and reinforcement learning — that correlate EEG with neuroimaging data including brain stimulation games, cognitive therapy, calming music, and yoga mudras. The validated conceptual design enables EEG acquisition, AI-powered multi-modal correlation, psychometric evaluation, and closed-loop therapy delivery within a single platform. IRENIC achieves improved completeness over isolated modalities by integrating assessment, visualization, and intervention, with workflow analysis confirming technical viability of real-time data collection, AI-driven interpretation, and personalized feedback in a wearable format. This device offers a scalable paradigm for integrative mental health technology, addressing accessibility and personalization gaps by combining diagnostics and therapy. While focusing on conceptual validation, this work establishes a foundation for future clinical trials, quantitative validation, and AI-enabled neurotherapeutic interventions. SN - 3068-5524 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Waghray2026IRENIC,
author = {Nitya Waghray and Adarsh Waghray and Rishabh Mahendra and Kalicharan Sabat and Archana Rajasundaram and W.M.S. Johnson},
title = {IRENIC: A Prototype and a Review for Developing a Non-invasive Device Revolutionizing the Neuro-diagnostics and Cognitive Therapy},
journal = {Biomedical Informatics and Smart Healthcare},
year = {2026},
volume = {2},
number = {2},
pages = {79-85},
doi = {10.62762/BISH.2026.779754},
url = {https://www.icck.org/article/abs/BISH.2026.779754},
abstract = {Mental health disorders pose a significant global burden, yet integrated non-invasive tools for simultaneous neurodiagnosis and therapy remain limited. This paper introduces IRENIC, a wearable prototype integrating an EEG skull cap for real-time brain monitoring, pre-stored SPECT/PET databases, AR visualization, psychometric tools, AI algorithms — including CNNs and reinforcement learning — that correlate EEG with neuroimaging data including brain stimulation games, cognitive therapy, calming music, and yoga mudras. The validated conceptual design enables EEG acquisition, AI-powered multi-modal correlation, psychometric evaluation, and closed-loop therapy delivery within a single platform. IRENIC achieves improved completeness over isolated modalities by integrating assessment, visualization, and intervention, with workflow analysis confirming technical viability of real-time data collection, AI-driven interpretation, and personalized feedback in a wearable format. This device offers a scalable paradigm for integrative mental health technology, addressing accessibility and personalization gaps by combining diagnostics and therapy. While focusing on conceptual validation, this work establishes a foundation for future clinical trials, quantitative validation, and AI-enabled neurotherapeutic interventions.},
keywords = {IRENIC, EEG, non-invasive brain stimulation, neurodiagnostics, cognitive therapy, augmented reality, artificial intelligence, multimodal integration},
issn = {3068-5524},
publisher = {Institute of Central Computation and Knowledge}
}
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Copyright © 2026 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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