activity
20202024
most citedA Survey on Radar-Based Fall Detection

39 citations · 46 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2024

mmWave Radar for Sit-to-Stand Analysis: A Comparative Study with Wearables and Kinect

Shuting Hu, Peggy Ackun, Xiang Zhang +5

This study explores a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology. The goal is to develop a non-contact sensing, priva…

q-bio.QM2024

Frailty Assessment in Aortic Stenosis based on Dynamic Interconnection between Cardiac and Motor Systems

Patricio Arrué, Kaveh Laksari, Nancy Sweitzer +2

Background: Aortic stenosis (AS) is the most common acquired valvar disease and is associated with increased risk for frailty. Frailty as a geriatric syndrome is associated with mu…

cs.RO2023★ 39 cited

A Survey on Radar-Based Fall Detection

Shuting Hu, Siyang Cao, Nima Toosizadeh +3

Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern where timely detection can greatly minimize harm. With the advance…

q-bio.QM2023

Associating Frailty and Dynamic Dysregulation between Motor and Cardiac Autonomic Systems

Patricio Arrué, Kaveh Laksari, Nima Toosizadeh

Frailty is a geriatric syndrome associated with the lack of physiological reserve and consequent adverse outcomes (therapy complications and death) in older adults. Recent research…

q-bio.QM2022

Cerebrovascular morphology in aging and disease -- imaging biomarkers for ischemic stroke and Alzheimers disease

Aditi Deshpande, Nitya Kari, Jordan Elliott McKenzie +7

Background and Purpose: Altered brain vasculature is a key phenomenon in several neurologic disorders. This paper presents a quantitative assessment of vascular morphology in healt…

q-bio.QM2020★ 7 cited

Low-rank representation of head impact kinematics: A data-driven emulator

Patricio Arrue, Nima Toosizadeh, Hessam Babaee +1

Head motion induced by impacts has been deemed as one of the most important measures in brain injury prediction, given that the majority of brain injury metrics use head kinematics…