Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
Our identity is rooted in delivering exactly what our clients need.
- 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 £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
Contact us for an exact quote and to hear our latest promotions
Public Training
Please see our public courses
