Class activation map-based slicing-concatenation and contrastive learning: A novel strategy for record-level atrial fibrillation detection

Q Zhu, L Zhang, F Lu, L Fang, Q Pan - Expert Systems with Applications, 2025 - Elsevier
Background Deep learning-based models for atrial fibrillation (AF) detection require
extensive training data, which often necessitates labor-intensive professional annotation …

Physiological-signal-based prediction of occupant thermal comfort in a nonuniform transient vehicular cabin during winter

G Gopi, JK Kim - Building and Environment, 2025 - Elsevier
Non-hypothermic cold thermal stress, though not immediately life-threatening, can
compromise safety and wellbeing, particularly in battery electric vehicles (BEVs) driven in …

Development of a Manual Handling Task Recognition and Holistic Fatigue Estimation System

V Chan - 2025 - ruor.uottawa.ca
The overarching goal of this dissertation was to contribute to the body of research on
mitigating work-related musculoskeletal disorders (WMSDs) and occupational accident risk …

IF-Cloud: API FHIR para integração de projetos de saúde digital

JM Vieira, JP de Abreu, JC Machado… - Journal of Health …, 2024 - jhi.sbis.org.br
Objetivo: Desenvolver IF-Cloud, uma API para prototipagem e integração de dispositivos IoT
e aplicações web de saúde interoperáveis. Método: O estudo de caso é um ecossistema de …

CGM-Freq: A Python Library for Frequency Domain Analysis of Continuous Glucose Monitoring Data

E Healey, IS Kohane - IEEE-EMBS International Conference on Biomedical … - openreview.net
In recent years, the number of patients using continuous glucose monitoring (CGM) has
increased. In addition to hel** patients manage their disease, CGM produces time series …

[PDF][PDF] A Machine Learning Approach for Integrating Phonocardiogram and Electrocardiogram Data for Heart Sound Detection

T Mains, S Kshirsagar - cinc.org
Heart sound detection (HSD) is crucial for diagnosing cardiovascular diseases and
monitoring cardiac health. While the traditional diagnostic methods often rely on either …