Implementation of denoising algorithms for heart-rate estimation from ambulatory optical PPG

Wearable technology forms a fashion in today's Emerging Embedded technology. Measuring clinical Parameters like Heart rate, Oxygen Saturation level using Smart Watches, Smart glasses from Photo - Plethysmogram (PPG) has become a new research topic in industry as well as academia in the area of Signal Processing and Embedded Environment. Extracting reasonable PPG signals to derive accurate Clinical parameters has become a challenging task as the design includes a low power consuming hardware with low power consuming Denoising Algorithms. This leads in developing efficient PPG extraction hardware designs and efficient Denoising Algorithms to obtain Clinical Parameters accurately most of the time which includes even when subject is running at 15km/hour. Efficient denoising techniques like Sparse Resolution based Spectral Subtraction, Adaptive Noise Cancellation and Intelligent algorithm for HR Estimation are discussed here.