Cardiovascular disease remains the leading cause of death worldwide, yet the most dangerous cardiac events rarely arrive without warning. Clinical studies suggest that nearly 70% of major cardiac incidents are preceded by subtle micro-patterns; brief, transient electrical anomalies that appear long before symptoms become obvious. The challenge is not the absence of signals. It is our inability to capture, interpret,

Every great product begins with a spark, an idea. It may start as a notepad sketch, a rough lab prototype, or a hypothesis from a late-night discussion. Ideas are plentiful. Transforming them into real, reliable, certified, and scalable electronic products is rare. The difference is execution. Not partial or fragmented execution. End-to-end execution. We have guided electronic

Medical technology is evolving faster than ever, but innovation alone is no longer enough. In today’s healthcare ecosystem, success depends on reliability, safety, regulatory compliance, and long-term performance, all delivered within shrinking development timelines. At the center of this transformation lies one critical discipline: Embedded Systems Development. Every modern medical device, whether a wearable monitor, imaging

Modern vehicles are no longer defined solely by mechanical engineering. Today cars are real-time computing ecosystems on wheels, powered by millions of lines of code, dozens of electronic control units (ECUs), high-speed networks, and complex software stacks. Advanced Driver Assistance Systems (ADAS), infotainment platforms, battery management systems, vehicle-to-everything (V2X) communication, and autonomous features all operate simultaneously, often under strict real-time

Atrial fibrillation (AF) is one of the most common and most dangerous cardiac arrhythmias worldwide. Its greatest threat lies in its silence. Many patients live with AF for months or even years without noticeable symptoms, until the condition suddenly manifests as a stroke or severe cardiovascular complication. Traditional diagnostics rely on episodic monitoring, symptom reporting,