Dan Rittersdorf is a Principal Embedded Software Engineer at DornerWorks, a Grand Rapids, Michigan-based embedded engineering firm, where he has spent his recent career focused on medical device software development. With over 35 years of engineering experience, his work spans real-time Linux kernel, library, and toolchain development, as well as microprocessor, SOM, and larger embedded development across a broad range of medical devices — from orthopedic robotics to ultrasonic therapy devices. Dan brings deep expertise in IEC 62304, ISO 14971, and FDA cybersecurity guidance, including IEC 81001-5-1, and has guided medical device manufacturers through regulatory submissions, standards compliance, and complex development challenges. He is a recognized practitioner at the intersection of embedded software safety and medical device security.
Medical device teams are under increasing pressure to add intelligent monitoring capabilities while maintaining or improving existing performance, mitigating patient data privacy risks, and enabling clinicians to make better informed diagnoses. Through examples like EMG and adaptive prosthetics, we will show how systems can flag deviations from baseline in real time - supporting preventative analytics, improving responsiveness, and preserving privacy. Real-time healthcare doesn’t have to rely on the cloud. On-device AI brings intelligence directly to the patient, reducing latency and improving reliability. This session explores how embedded, on-device AI enables time-series analysis for patient-specific monitoring, allowing systems to detect physiological anomalies while maintaining clinician oversight.