Sensor-Based Estimation of Dim Light Melatonin Onset (DLMO) Using Features of Two Time Scales [0.03%]
基于传感器的Dim Light Melatonin Onset(DLMO)估算及其双时间尺度特征
Cheng Wan,Andrew W McHill,Elizabeth Klerman et al.
Cheng Wan et al.
Circadian rhythms influence multiple essential biological activities including sleep, performance, and mood. The dim light melatonin onset (DLMO) is the gold standard for measuring human circadian phase (i.e., timing). The collection of DLM...
Federated Choquet Regression with LASSO for Outcome Prediction in Multisite Longitudinal Trial Data [0.03%]
面向多中心纵向试验数据的结果预测的联邦Choquet回归与LASSO
Semyon Lomasov,Hua Fang,Honggang Wang
Semyon Lomasov
Aggregating person-level data across multiple clinical study sites is often constrained by privacy regulations, necessitating the development of decentralized modeling approaches in biomedical research. To address this requirement, a federa...
HDFusion: Hierarchical Data Fusion for Robust Fetal Heart Rate Estimation using Transabdominal PPG Signals [0.03%]
基于经腹PPG信号的胎儿心率估计的层次化数据融合方法
Tailai Lihe,Begum Kasap,Kourosh Vali et al.
Tailai Lihe et al.
Evaluation of fetal health during pregnancy is highly dependent on monitoring of fetal heart rate (FHR). New technologies emerge, such as the transabdominal fetal pulse oximeter (TFO), a non-invasive, light-based measurement device, to prov...
Fetal pHocus: A Novel Approach to Non-Invasive Fetal Arterial Blood pH Assessment via Near-Infrared Spectroscopy [0.03%]
胎儿pHOCUS：一种通过近红外光谱评估非侵入性胎儿动脉血pH的新方法
Randall Fowler,Begum Kasap,Weitai Qian et al.
Randall Fowler et al.
Modern intrapartum fetal health assessments are currently limited to monitoring heart rate and spatial parameters, neglecting critical biomarkers that remain unmeasurable with today's clinical devices without performing surgery. Without pre...
Zeyu Tang,Adam Hoover
Zeyu Tang
This article explores video analysis methods for monitoring eating behaviors, a critical factor in approximately 70% of global deaths due to illnesses like cancer, diabetes, and heart disease. Automated monitoring quantifies aspects such as...
Domain-Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging [0.03%]
具有领域不变表示学习和睡眠动态建模的自动分期方法
Seungyeon Lee,Thai-Hoang Pham,Zhao Cheng et al.
Seungyeon Lee et al.
Sleep staging has become a critical task in diagnosing and treating sleep disorders to prevent sleep-related diseases. With growing large-scale sleep databases, significant progress has been made toward automatic sleep staging. However, pre...
CogProg: Utilizing Large Language Models to Forecast In-the-moment Health Assessment [0.03%]
CogProg：利用大型语言模型预测即时健康评估
Gina Sprint,Maureen Schmitter-Edgecombe,Raven Weaver et al.
Gina Sprint et al.
Forecasting future health status is beneficial for understanding health patterns and providing anticipatory support for cognitive and physical health difficulties. In recent years, generative large language models (LLMs) have shown promise ...
Physiowise: A Physics-aware Approach to Dicrotic Notch Identification [0.03%]
Physiowise:一种物理感知的迪克ROTic_notch识别方法
Mahya Saffarpour,Debraj Basu,Fatemeh Radaei et al.
Mahya Saffarpour et al.
Dicrotic Notch (DN), one of the most significant and indicative features of the arterial blood pressure (ABP) waveform, becomes less pronounced and thus harder to identify as a matter of aging and pathological vascular stiffness. Generaliza...
Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation [0.03%]
一种基于结果驱动的专家混合模型的临床表型分层及其在患者匹配和风险评估中的应用研究
Nathan C Hurley,Sanket S Dhruva,Nihar R Desai et al.
Nathan C Hurley et al.
Observational medical data present unique opportunities for analysis of medical outcomes and treatment decision making. However, because these datasets do not contain the strict pairing of randomized control trials, matching techniques are ...
Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction [0.03%]
智能家庭和文本行为标记的多模式融合用于临床评估预测
Gina Sprint,Diane J Cook,Maureen Schmitter-Edgecombe et al.
Gina Sprint et al.
New modes of technology are offering unprecedented opportunities to unobtrusively collect data about people's behavior. While there are many use cases for such information, we explore its utility for predicting multiple clinical assessment ...