Implementation of Denoising Algorithms for Heart-Rate Estimation From AmbulatoryOptical PPG

Acharya, Aneesha K and Arpihta, M C (2016) Implementation of Denoising Algorithms for Heart-Rate Estimation From AmbulatoryOptical PPG. International Journal of Control Theory and Applications, 9 (39). pp. 1-7. ISSN 09745572

[img] PDF
1823.pdf - Published Version
Restricted to Registered users only

Download (257kB) | Request a copy
Official URL:


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 effi cient PPG extraction hardware designs and effi cient Denoising Algorithms to obtain Clinical Parameters accurately most of the time which includes even when subject is running at 15km/hour. Effi cient denoising techniques like Sparse Resolution based Spectral Subtraction, Adaptive Noise Cancellation and Intelligent algorithm for HR Estimation are discussed here

Item Type: Article
Uncontrolled Keywords: Photo Plethysmogram (PPG); Heart Rate (HR); Fine Resolution Spectrum Estimation; Adaptive Noise Cancellation (ANC).
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 09 Jan 2017 10:16
Last Modified: 09 Jan 2017 10:16

Actions (login required)

View Item View Item