Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | International Journal of Control Theory and Applications |
| Volume | 9 |
| Issue number | 39 |
| Publication status | Published - 01-01-2016 |
| Externally published | Yes |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
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Implementation of denoising algorithms for heart-rate estimation from ambulatory optical PPG. / Aneesha Acharya, K.; Arpitha, M. C.
In: International Journal of Control Theory and Applications, Vol. 9, No. 39, 01.01.2016, p. 1-7.Research output: Contribution to journal › Article
TY - JOUR
T1 - Implementation of denoising algorithms for heart-rate estimation from ambulatory optical PPG
AU - Aneesha Acharya, K.
AU - Arpitha, M. C.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85010670297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010670297&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85010670297
VL - 9
SP - 1
EP - 7
JO - International Journal of Control Theory and Applications
JF - International Journal of Control Theory and Applications
SN - 0974-5572
IS - 39
ER -