Current Projects:
- Machine learning to detect human activity (stress, physical activity, sleep, etc) from 24 hour Holter (ECG) data (ongoing project).
- Understanding the coherent state (and develop machine learning capabilities) – using ECG and EEG data
- Artificial intelligence for identifying the risk of diabetes complications (Type 2 Diabetes)
- Creative visualisation of complex data
Past projects:
- Effect of Indian Classical Music (Positive and negative valence) on the physiology (as measured by HRV and PANAS survey) (Akshar, Laxmi, Mahima)
- Exploration and validation of Self-regulation technique for increasing focus and attention (PDPU Psychology, Fariburz Irani)
- Analysis of 24 hour Holter data to understand sleep, physical activity and energy expenditure using Machine Learning (Nirma final year CS&E students: Praxal and Anjali)
Highlights:
How music, especially with different valence (as compared to silence) impacts the mind and the body (as measured through ECG/HRV signals).
How my energy and stress levels change during the day and also during night and am I aware of it.
How can I increase my cognitive functions (focus and attention)
Write to [email protected] for exploring similar opportunities.
