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∙ 05/30/2023

Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment

Spatial navigation of indoor space usage patterns reveals important cues...

0 Yashar Kiarashi, et al. ∙

∙ 05/08/2023

Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing

Localization of individuals in a built environment is a growing research...

0 Hyeokhyen Kwon, et al. ∙

∙ 01/06/2023

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising

Objective: Gaussian Processes (GP)-based filters, which have been effect...

0 Mircea Dumitru, et al. ∙

∙ 09/27/2022

Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram

Objective: Murmurs are abnormal heart sounds, identified by experts thro...

0 Andoni Elola, et al. ∙

∙ 12/28/2021

Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models

Objective: To determine if a realistic, but computationally efficient mo...

0 Ismail Sadiq, et al. ∙

∙ 11/18/2021

HRnV-Calc: A software package for heart rate n-variability and heart rate variability analysis

Objective: Heart rate variability (HRV) has been proven to be an importa...

0 Chenglin Niu, et al. ∙

∙ 08/02/2021

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification

Cardiac auscultation is one of the most cost-effective techniques used t...

0 Jorge Oliveira, et al. ∙

∙ 06/17/2021

Privacy-Preserving Eye-tracking Using Deep Learning

The expanding usage of complex machine learning methods like deep learni...

0 Salman Seyedi, et al. ∙

∙ 04/04/2021

Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure

Objective: Worldwide, heart failure (HF) is a major cause of morbidity a...

0 Ayse S. Cakmak, et al. ∙

∙ 01/28/2021

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms

The increasing complexity of algorithms for analyzing medical data, incl...

5 Salman Seyedi, et al. ∙

∙ 12/20/2020

Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in C

Although there has been significant research in boosting of weak learner...

0 Matthew A. Reyna, et al. ∙

∙ 11/14/2020

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data

Depression and post-traumatic stress disorder (PTSD) are psychiatric con...

0 Ayse S. Cakmak, et al. ∙

∙ 07/20/2020

The Future AI in Healthcare: A Tsunami of False Alarms or a Product of Experts?

Recent significant increases in affordable and accessible computational ...

0 Gari. D. Clifford, et al. ∙

∙ 05/09/2020

Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration

Objective: This paper presents a novel heart sound segmentation algorith...

0 Xingyao Wang, et al. ∙

∙ 06/20/2018

Addressing Class Imbalance in Classification Problems of Noisy Signals by using Fourier Transform Surrogates

Randomizing the Fourier-transform (FT) phases of temporal-spatial data g...

0 Justus T. C. Schwabedal, et al. ∙

∙ 12/01/2017

Subject Selection on a Riemannian Manifold for Unsupervised Cross-subject Seizure Detection

Inter-subject variability between individuals poses a challenge in inter...

0 Samaneh Nasiri Ghosheh Bolagh, et al. ∙

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