activity
20192022
most citedDeveloping Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

15 citations · 18 across the 3 of their papers we have counts for

collaborators

6 papers

eess.SP2022

Boosted-SpringDTW for Comprehensive Feature Extraction of Physiological Signals

Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi +1

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

cs.RO20213 cited

SmartCrawler: An In-pipe Robotic System with Wireless Communication in Water Distribution Systems

Saber Kazeminasab, Roozbeh Jafari, M. Katherine Banks

Water Distribution Systems(WDS) are critical infrastructures that deliver potable water to residential areas. Incidents to pipelines cause water loss and contamination in pipelines…

cs.RO2021

Design, Characterization, and Control of a Size Adaptable In-pipe Robot for Water Distribution Systems

Saber Kazeminasab, Ali Akbari, Roozbeh Jafari +1

Leak detection and water quality monitoring are requirements and challenging tasks in Water Distribution Systems (WDS). In-line robots are designed for this aim. In our previous wo…

cs.RO2020

An LQR-assisted Control Algorithm for an Under-actuated In-pipe Robot in Water Distribution Systems

Saber Kazeminasab, Roozbeh Jafari, M. Katherine Banks

To address the operational challenges of in-pipe robots in large pipes of water distribution systems (WDS), in this research, a control algorithm is proposed for our previously des…

cs.LG202015 cited

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

Lida Zhang, Nathan C. Hurley, Bassem Ibrahim +4

Blood pressure monitoring is an essential component of hypertension management and in the prediction of associated comorbidities. Blood pressure is a dynamic vital sign with freque…

eess.SP2019

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

Nathan C. Hurley, Erica S. Spatz, Harlan M. Krumholz +2

Cardiovascular disorders account for nearly 1 in 3 deaths in the United States. Care for these disorders are often determined during visits to acute care facilities, such as hospit…