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Critical care patients experience varying levels of pain during their stay in the intensive care unit, often requiring administration of analgesics and sedation. Such medications generally exacerbate the already sedentary physical activity…

Computers and Society · Computer Science 2020-05-01 Anis Davoudi , Tezcan Ozrazgat-Baslanti , Patrick J. Tighe , Azra Bihorac , Parisa Rashidi

Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes. Therefore, there is a need for continuous and objective measurement of physical activity in the ICU to quantify the…

Human-Computer Interaction · Computer Science 2021-10-08 Anis Davoudi , Patrick J. Tighe , Azra Bihorac , Parisa Rashidi

Early mobilization of critically ill patients in the Intensive Care Unit (ICU) can prevent adverse outcomes such as delirium and post-discharge physical impairment. To date, no studies have characterized activity of sepsis patients in the…

Acuity assessments are vital in critical care settings to provide timely interventions and fair resource allocation. Traditional acuity scores rely on manual assessments and documentation of physiological states, which can be…

Despite the importance of closely monitoring patients in the Intensive Care Unit (ICU), many aspects are still assessed in a limited manner due to the time constraints imposed on healthcare providers. For example, although excessive…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Scott Siegel , Jiaqing Zhang , Sabyasachi Bandyopadhyay , Subhash Nerella , Brandon Silva , Tezcan Baslanti , Azra Bihorac , Parisa Rashidi

With the development of the Internet of Things(IoT) and Artificial Intelligence(AI) technologies, human activity recognition has enabled various applications, such as smart homes and assisted living. In this paper, we target a new…

Machine Learning · Computer Science 2021-06-30 Rex Liu , Sarina A Fazio , Huanle Zhang , Albara Ah Ramli , Xin Liu , Jason Yeates Adams

The accelerometer has become an almost ubiquitous device, providing enormous opportunities in healthcare monitoring beyond step counting or other average energy estimates in 15-60 second epochs. Objective: To develop an open data set with…

Intensive Care Units (ICU) provide close supervision and continuous care to patients with life-threatening conditions. However, continuous patient assessment in the ICU is still limited due to time constraints and the workload on healthcare…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Subhash Nerella , Ziyuan Guan , Andrea Davidson , Yuanfang Ren , Tezcan Baslanti , Brooke Armfield , Patrick Tighe , Azra Bihorac , Parisa Rashidi

Continuous monitoring and patient acuity assessments are key aspects of Intensive Care Unit (ICU) practice, but both are limited by time constraints imposed on healthcare providers. Moreover, anticipating clinical trajectories remains…

Different technologies can acquire data for gait analysis, such as optical systems and inertial measurement units (IMUs). Each technology has its drawbacks and advantages, fitting best to particular applications. The presented multi-sensor…

Human-Computer Interaction · Computer Science 2021-12-01 Geise Santos , Marcelo Wanderley , Tiago Tavares , Anderson Rocha

Accelerometry has been extensively studied as an objective means of measuring upper limb function in patients post-stroke. The objective of this paper is to determine whether the accelerometry-derived measurements frequently used in more…

Machine Learning · Computer Science 2023-11-09 Mackenzie Wallich , Kenneth Lai , Svetlana Yanushkevich

The objective assessment of gait kinematics is crucial in evaluating human movement, informing clinical decisions, and advancing rehabilitation and assistive technologies. Assessing gait symmetry, in particular, holds significant importance…

Human-Computer Interaction · Computer Science 2024-11-19 Hanieh Moradi , Yas Vaseghi , Arash Abbasi Larki , Akram Shojaei , Mehdi Delrobaei

Motion disorders pose a significant global health concern and are often managed with pharmacological treatments that may lead to undesirable long-term effects. Current therapeutic strategies lack differentiation between healthy and…

Human-Computer Interaction · Computer Science 2024-09-24 Sina Saadati , Mohammadreza Razzazi

Current day pain assessment methods rely on patient self-report or by an observer like the Intensive Care Unit (ICU) nurses. Patient self-report is subjective to the individual and suffers due to poor recall. Pain assessment by manual…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Subhash Nerella , Azra Bihorac , Patrick Tighe , Parisa Rashidi

Contactless monitoring using thermal imaging has become increasingly proposed to monitor patient deterioration in hospital, most recently to detect fevers and infections during the COVID-19 pandemic. In this letter, we propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2022-02-11 Thanh Nguyen-Duc , Peter Y Chan , Andrew Tay , David Chen , John Tan Nguyen , Jessica Lyall , Maria De Freitas

Wearable inertial measurement units (IMUs) provide a cost-effective approach to assessing human movement in clinical and everyday environments. However, developing the associated classification models for robust assessment of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Andreas Spilz , Heiko Oppel , Jochen Werner , Kathrin Stucke-Straub , Felix Capanni , Michael Munz

A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic…

Computers and Society · Computer Science 2021-03-11 Björn Friedrich , Enno-Edzard Steen , Sebastian Fudickar , Andreas Hein

Gait is an essential manifestation of depression. Laboratory gait characteristics have been found to be closely associated with depression. However, the gait characteristics of daily walking in real-world scenarios and their relationships…

Over the past several decades, naturally occurring and man-made mass casualty incidents (MCI) have increased in frequency and number, worldwide. To test the impact of such event on medical resources, simulations can provide a safe,…

Pain management in intensive care usually involves complex trade-offs, since both inadequate and excessive treatment can compromise patient safety. Prior work on reinforcement learning for sedation and analgesia has explored how to optimize…

Machine Learning · Computer Science 2026-05-19 Joel Romero-Hernandez , Oscar Camara
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