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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...
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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...
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01/06/2023
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
Objective: Gaussian Processes (GP)-based filters, which have been effect...
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09/27/2022
Beyond Heart Murmur Detection: Automatic Murmur Grading from Phonocardiogram
Objective: Murmurs are abnormal heart sounds, identified by experts thro...
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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...
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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...
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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...
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06/17/2021
Privacy-Preserving Eye-tracking Using Deep Learning
The expanding usage of complex machine learning methods like deep learni...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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12/01/2017
