The PhysioStack SDK is a powerful, plug-and-play software library designed to accelerate your development of physiological signal processing pipelines. It enables seamless integration of PPG, ECG, ABP, and CAP signals into any application—whether you’re prototyping in a research setting or deploying a commercial product. With built-in capabilities for signal conditioning, artifact filtering, and feature extraction, PhysioStack simplifies the complexity of working with noisy biosignals and helps you unlock interpretable, meaningful metrics from raw sensor data.
Functionally equivalent to the SensorFusion API, the PhysioStack SDK offers the same high-performance processing capabilities but packaged for local use within your system or device. This gives developers the flexibility to operate in environments where API access may be limited or where on-device computation is preferred. The SDK processes raw signal segments, validates waveform quality using trained models, and returns extracted features or AI-derived interpretations—ready to feed into downstream algorithms. Whether you’re targeting clinical decision support, fitness analytics, or personalized health applications, PhysioStack ensures consistent, accurate outputs without the burden of building a signal processing stack from scratch.
PhysioStack is especially valuable when working with multimodal sensor data. Just like the SensorFusion API, the SDK can ingest and fuse data from multiple sources—such as PPG and ECG—and return combined feature sets that reflect the subject’s physiological state more robustly than any single signal alone. By embedding PhysioSense’s foundational AI model capabilities directly into your local system, PhysioStack provides a production-grade signal processing engine that preserves privacy, enhances performance, and reduces dependence on cloud infrastructure.
