Search Results for author: Jayaraj Joseph

Found 8 papers, 2 papers with code

RespNet: A deep learning model for extraction of respiration from photoplethysmogram

no code implementations12 Feb 2019 Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Recently, due to the widespread adoption of wearable smartwatches with in-built Photoplethysmogram (PPG) sensor, it is being considered as a viable candidate for continuous and unobtrusive respiration monitoring.

PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram

no code implementations21 Mar 2019 Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam

Traditional machine learning and deep learning approaches rely on tri-axial accelerometer data along with PPG to perform heart rate estimation.

Heart rate estimation Transfer Learning

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation

1 code implementation14 Aug 2019 Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam

For the task of medical image segmentation, fully convolutional network (FCN) based architectures have been extensively used with various modifications.

Image Segmentation Medical Image Segmentation +2

Robust Modelling of Reflectance Pulse Oximetry for SpO$_2$ Estimation

no code implementations14 Apr 2020 Sricharan Vijayarangan, Prithvi Suresh, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam

Recently, a Machine Learning (ML) method was used to model reflectance waveforms onto SpO$_2$ obtained from transmittance waveforms.

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