Advancing Expertise in Aging, Dementia, and Sleep Research
Our comprehensive training programs combine theoretical knowledge with hands-on experience, preparing researchers and clinicians to address complex aging, sleep, ambulatory monitoring, and neuroscience research challenges.
Core-Training Areas
Aging and Dementia Research
Master cutting-edge methodologies in aging research, including cognitive assessment techniques, biomarker analysis, and longitudinal study designs. Work directly with our aging cohorts and learn to implement validated research protocols.
Sleep and Circadian Health
Develop expertise in sleep medicine research, including sleep assessment and circadian rhythm analysis. Gain practical experience with both laboratory-based and home-based sleep studies.
Technical Training Programs
Ambulatory Monitoring and Wearable Technologies
- Learn to implement and analyze data from multiple wearable platforms
- Master 24-hour blood pressure monitoring protocols
- Analyze rest-activity rhythms using actigraphy
- Process continuous heart rate and heart rate variability data
- Understand best practices for long-term physiological monitoring
Physiological Signal Analysis
- Advanced EEG analysis techniques
- ECG processing and cardiac function assessment
- Traditional time-series analysis methods
- Non-linear dynamics and complexity analysis
- Signal quality assessment and artifact removal
Artificial Intelligence in Healthcare
- Machine learning applications in clinical research
- Deep learning for physiological signal processing
- AI-driven diagnosis and prediction models
- Implementation of AI tools in clinical practice
Data Analysis and Computing
eZACTI Platform Training
Our proprietary EZACTI platform provides researchers with powerful tools for:
- Real-time physiological data processing
- Advanced statistical analysis
- Automated report generation
- Data visualization and interpretation
- Collaborative research environments
Clinical Research Training
CBT-I (Cognitive Behavioral Therapy for Insomnia)
Comprehensive training in evidence-based sleep interventions:
- Assessment and diagnosis of sleep disorders
- Implementation of CBT-I protocols
- Adaptation of treatments for aging populations
- Outcome measurement and analysis
- Clinical trial methodology
Training Formats
- Hands-on workshops
- Online modules
- One-on-one mentoring
- Group seminars
- Laboratory rotations
- Clinical observations
Resources and Support
- Access to state-of-the-art research facilities
- Extensive physiological and clinical datasets
- Computing resources and software licenses
- Expert faculty mentorship
- Collaborative research opportunities
How to Apply
For information about upcoming training opportunities and application procedures, please contact mbcmgh@mgh.harvard.edu