Engineering notes
Medical Devices
Embedded systems for medical devices, in our project work and in articles on arrhythmia detection, TinyML cardiac monitoring and AI in diagnostics. Our medical work has included BLDC motor control for surgical instruments, temperature control for patient warming, a therapy pump and wearable sensing boards, with power-on self-tests, fault handling traceable to the design history and IEC 60601 lab test support.
Medical Devices
Explore how AI is transforming clinical diagnostics with real-time insights, embedded intelligence, and improved accuracy in healthcare systems.
Medical Devices
Discover how AI is transforming medical implants into adaptive, real-time systems for smarter, safer, and personalized patient care.
Medical Devices
Explore how portable brain imaging devices use embedded systems and AI to enable faster emergency diagnostics outside hospitals.
Medical Devices
Learn how an on-device arrhythmia detection system uses TinyML, firmware optimization, and embedded design to deliver real-time cardiac insights.
Medical Devices
How we built a portable cardiac monitor using TinyML for real-time arrhythmia detection without cloud dependency.
Medical Devices
Explore how intelligent medical implants use AI and embedded systems to deliver adaptive, personalized therapy and transform modern healthcare.
Medical Devices
Discover how embedded systems and medical device hardware design enable continuous cardiac monitoring and real-time predictive diagnostics.
Medical Devices
Discover how embedded systems and medical device hardware design enable real-time cardiovascular diagnostics and predictive cardiac monitoring.
Medical Devices
Explore how AI-driven predictive cardiology is transforming medical devices, enabling early AF detection, smarter hardware design, and proactive care.
Medical Devices
Explore how AI is reshaping MedTech product development, from embedded systems and hardware design to connected, intelligent medical devices.