Search Results for author: Roozbeh Jafari

Found 4 papers, 2 papers with code

Boosted-SpringDTW for Comprehensive Feature Extraction of Physiological Signals

no code implementations11 Jan 2022 Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi, Roozbeh Jafari

Goal: To achieve-high quality comprehensive feature extraction from physiological signals that enables precise physiological parameter estimation despite evolving waveform morphologies.

Dynamic Time Warping

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error

1 code implementation1 Jul 2021 Asiful Arefeen, Ali Akbari, Seyed Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh

However, extracting IBIs from noisy signals is challenging since the morphology of the signal is distorted in the presence of the noise.

Denoising Heart Rate Variability

A Survey of Challenges and Opportunities in Sensing and Analytics for Cardiovascular Disorders

no code implementations12 Aug 2019 Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz, Roozbeh Jafari, Bobak J. Mortazavi

We highlight three primary needs in the design of new smart health technologies: 1) the need for sensing technology that can track longitudinal trends in signs and symptoms of the cardiovascular disorder despite potentially infrequent, noisy, or missing data measurements; 2) the need for new analytic techniques that model data captured in a longitudinal, continual fashion to aid in the development of new risk prediction techniques and in tracking disease progression; and 3) the need for machine learning techniques that are personalized and interpretable, allowing for advancements in shared clinical decision making.

BIG-bench Machine Learning Decision Making

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