1. Cardiorespiratory Optimized Guided-Breathing for Post-Stress Recovery in a Group Setting (2020)
Type: MSc thesis / dissertation (McMaster University)
Summary: Experimental thesis that develops and evaluates cardiorespiratory-optimized guided-breathing protocols for post-stress recovery in group settings. Contains methods, HRV (heart-rate variability) measures, GSR data, and protocol designs suitable for application in schools/communities.
Use on site: Good primary source for thesis-level methodology, protocols and detailed results to support the breath-first approach. MacSphere+1
2. Fuzzy C-Means Clustering and Sonification of HRV Features (2019)
Type: Conference paper / arXiv (CHASE 2019 / arXiv preprint)
Authors: D. Borthakur, V. Grace, P. Batchelor, H. Dubey, K. Mankodiya
Summary: Explores feature selection from HRV analysis, unsupervised clustering (fuzzy c-means) and sonification (mapping HRV data to sound) as steps toward real-time biofeedback training systems. Relevant for breath biofeedback designs and alternative feedback modalities (audio/sonification).
Use on site: Cite this when describing analytics, HRV feature engineering, or audio feedback design for breath training. arXiv+1
3. Optimizing Physiological State Detection — Statistical Feature Selection of HRV and RQA Metrics for Machine Learning Models (2025)
Type: Research article / preprint listing (ResearchGate)
Authors: D. Borthakur et al. (2025)
Summary: Focuses on statistical feature selection from HRV and recurrence quantification analysis (RQA) metrics to improve physiological state detection via machine learning. Useful background for automated detection of stress/anxiety states from breathing/HRV signals.
Use on site: Use as evidence of ongoing work connecting breath/HRV signals to automated stress detection. ResearchGate
4. (Related) Work referencing HRV / breathing protocols in affective or social neuroscience studies (2024–2025)
Type: Journal / conference items where Borthakur is co-author or where HRV measures (and guided breathing) are discussed. Example: papers on HRV use in cognitive/emotional tasks and a 2025 Scientific Reports paper where HRV was used as a manipulation check in social experiments (Borthakur listed among authors).
Summary: These works show application of HRV and breathing-related measures beyond pure breathwork (e.g., in stress, decision-making, social/inequity tasks) and are useful when you want to present cross-domain evidence for HRV as a mental-health marker.
Use on site: Helpful for “evidence base” sections showing HRV’s relevance in mental-health research. Nature+1
6. “Yoga Pose Estimation Using Angle-Based Feature Extraction” (published in Healthcare, Vol. 11, Issue 24), Borthakur et al. address the challenge of maintaining correct yoga postures—especially during remote and unsupervised practice. MDPI
Leveraging the Yoga-82 dataset and mobile-friendly pose-estimation tools (Google’s MLKit), the study extracts joint‐angle features (e.g., hip, knee, elbow) and applies several machine-learning models. The standout performer, an “Extremely Randomised Trees” ensemble, achieved an accuracy of ~92% for pose classification, while maintaining low latency suitable for smartphone deployment. MDPI
The work highlights significant implications for digital health and fitness‐tech applications: enabling safe, real-time feedback for yoga practitioners, reducing injury risk, and making pose-correct feedback accessible via low-cost hardware. MDPI
Quick pointer (aggregated list & mini bibliography)
Borthakur, D. (2020). Cardiorespiratory optimized guided-breathing for post-stress recovery in a group setting (MSc thesis). McMaster University. MacSphere
Borthakur, D., Grace, V., Batchelor, P., Dubey, H., & Mankodiya, K. (2019). Fuzzy C-Means Clustering and Sonification of HRV Features. CHASE 2019 / arXiv. arXiv+1
Borthakur, D. et al. (2025). Optimizing Physiological State Detection: Statistical Feature Selection of HRV and RQA Metrics for Machine Learning Models. ResearchGate listing. ResearchGate
Additional co-authored items applying HRV as a psychophysiological measure in social/cognitive studies (example: 2025 Scientific Reports paper). Nature+1
