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Course Outline
Foundations of TinyML in Healthcare
- Characteristics of TinyML systems
- Healthcare-specific constraints and requirements
- Overview of wearable AI architectures
Biosignal Acquisition and Preprocessing
- Working with physiological sensors
- Noise reduction and filtering techniques
- Feature extraction for medical time-series
Developing TinyML Models for Wearables
- Selecting algorithms for physiological data
- Training models for constrained environments
- Evaluating performance on health datasets
Deploying Models on Wearable Devices
- Using TensorFlow Lite Micro for on-device inference
- Integrating AI models in medical wearables
- Testing and validation on embedded hardware
Power and Memory Optimization
- Techniques for reducing computational load
- Optimizing data flow and memory usage
- Balancing accuracy and efficiency
Safety, Reliability, and Compliance
- Regulatory considerations for AI-enabled wearables
- Ensuring robustness and clinical usability
- Fail-safe mechanisms and error handling
Case Studies and Healthcare Applications
- Wearable cardiac monitoring systems
- Activity recognition in rehabilitation
- Continuous glucose and biometric tracking
Future Directions in Medical TinyML
- Multi-sensor fusion approaches
- Personalized health analytics
- Next-generation low-power AI chips
Summary and Next Steps
Requirements
- An understanding of basic machine learning concepts
- Experience with embedded or biomedical devices
- Familiarity with Python or C-based development
Audience
- Healthcare professionals
- Biomedical engineers
- AI developers
21 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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