Loubna Baroudi

ORCID: 0000-0002-3065-6196
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About
Contact & Profiles
Research Areas
  • Physical Activity and Health
  • Balance, Gait, and Falls Prevention
  • Context-Aware Activity Recognition Systems
  • Urban Transport and Accessibility
  • Mobile Health and mHealth Applications
  • Digital Mental Health Interventions
  • Human Mobility and Location-Based Analysis
  • Cardiovascular and exercise physiology
  • COVID-19 and Mental Health
  • Consumer Retail Behavior Studies
  • Muscle activation and electromyography studies
  • Behavioral Health and Interventions
  • Green IT and Sustainability
  • Eating Disorders and Behaviors
  • Prosthetics and Rehabilitation Robotics
  • Assistive Technology in Communication and Mobility
  • Evacuation and Crowd Dynamics
  • Obesity, Physical Activity, Diet
  • Cerebral Palsy and Movement Disorders
  • Interdisciplinary Research and Collaboration
  • Biomedical and Engineering Education
  • Innovative Human-Technology Interaction
  • Impact of Technology on Adolescents

University of Michigan
2019-2024

West Virginia University
2021

ABSTRACT Speeds that minimize energetic cost during steady-state walking have been observed lab-based investigations of biomechanics and energetics. However, in real-world scenarios, humans walk a variety contexts can elicit different strategies, may not always prioritize minimizing cost. To investigate whether individuals tend to select energetically optimal speeds situations how contextual factors influence gait, we conducted study combining data from lab experiments. Walking kinematics...

10.1242/jeb.246181 article EN publisher-specific-oa Journal of Experimental Biology 2024-06-10

Real-world walking data offers rich insights into a person's mobility. Yet, daily life variations can alter these patterns, making the challenging to interpret. As such, it is essential integrate context for extraction of meaningful information from real-world movement data. In this work, we leveraged relationship between characteristics bout and build classification algorithm distinguish indoor outdoor walks. We used 20 participants wearing an accelerometer on thigh over week. Their bouts...

10.1038/s41598-024-53143-8 article EN cc-by Scientific Reports 2024-02-06

An individual's physical activity substantially impacts the potential for prevention and recovery from diverse health issues, including cardiovascular diseases. Precise quantification of a patient's level day-to-day activity, which can be characterized by type, intensity, duration movement, is crucial clinicians. Walking primary fundamental most individuals. speed has been shown to correlate with various heart pathologies overall function. As such, it often used as metric assess performance....

10.3389/fspor.2020.583848 article EN cc-by Frontiers in Sports and Active Living 2020-11-25

The COVID-19 pandemic triggered a seismic shift in education to web-based learning. With nearly 20 million students enrolled colleges across the United States, long-simmering mental health crisis college was likely further exacerbated by pandemic.This study leveraged mobile (mHealth) technology and sought (1) characterize self-reported outcomes of physical, mental, social status; (2) assess physical activity through consumer-grade wearable sensors (Fitbit); (3) identify risk factors...

10.2196/34645 article EN cc-by JMIR Mental Health 2022-01-07

ABSTRACT Speeds that minimize energetic cost during steady-state walking have been observed lab-based investigations of biomechanics and energetics. However, in real-world scenarios, humans walk various contexts elicit different strategies, which may not always prioritize minimizing cost. To investigate whether individuals tend to select energetically optimal speeds situations how contextual factors influence gait, we conducted a study combining data from lab experiments. Walking kinematics...

10.1101/2023.06.12.544651 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-06-13

In previous studies, researchers have successfully measured walking in healthy able-bodied humans to create safe control strategies for lower body assistive devices. measurements used establish design requirements often come from testing and evaluation that takes place laboratory settings during steady-state tasks, where participants select movement minimize the cost of transport. However, human these conditions does not neces-sarily represent natural behavior an individual real world. this...

10.1109/icra48891.2023.10161051 article EN 2023-05-29

Owing to the multi-factorial nature of fatigue, leveraging context effectively monitor and intervene with fatigue symptoms presents a significant challenge. This paper aimed understand how incorporate into designing mHealth systems for management. We conducted two-week field study 20 fatigue-vulnerable individuals using an activity-tracking sensor self-reporting. data-prompted interviews explore phenomena about participants' experiences. Findings show heterogeneous relationship between which...

10.1145/3643834.3661615 article EN Designing Interactive Systems Conference 2024-06-29

<sec> <title>BACKGROUND</title> Consumer-grade wearables allow researchers to capture a representative picture of human behavior in the real world over extended periods. However, maintaining users’ engagement remains challenge and can lead decrease compliance (e.g., wear time context wearable sensors) “wearables’ abandonment”). </sec> <title>OBJECTIVE</title> In this work, we analyzed datasets from diverse populations caregivers for various health issues, college students, pediatric oncology...

10.2196/preprints.46149 preprint EN 2023-01-31

Abstract Real-world walking data offers rich insights into a person's mobility. Yet, daily life variations can alter these patterns, making the challenging to interpret. As such, it is essential integrate context for extraction of meaningful information from real-world movement data. In this work, we leveraged relationship between characteristics bout and build classification algorithm distinguish indoor outdoor walks. We used 20 participants wearing an accelerometer on thigh over week....

10.21203/rs.3.rs-3377599/v1 preprint EN cc-by Research Square (Research Square) 2023-11-06

Consumer-grade wearables allow researchers to capture a representative picture of human behavior in the real world over extended periods. However, maintaining users' engagement remains challenge and can lead decrease compliance (eg, wear time context wearable sensors) "wearables' abandonment"). In this work, we analyzed datasets from diverse populations caregivers for various health issues, college students, pediatric oncology patients) quantify impact that requirements have on study...

10.2196/46149 article EN cc-by JMIR mhealth and uhealth 2023-01-31

The Biointerfaces Interlaboratory Committees, the student organization for Institute at University of Michigan, organized and executed an 8 hour “BioHackathon” on broadly defined clinical topic ‘Aging.’ event began with experts in field (a clinician engineer) highlighting areas greatest need which engineers could improve lives aging population. Attendees separated into teams based shared interests pursuing specific needs, rapidly developed statements solution models to help elderly....

10.31224/osf.io/u3fnb preprint EN 2019-05-30

Background: Walking speed strongly correlates with health outcomes, making accurate assessment essential for clinical evaluations. However, assessments tend to be conducted over short distances, often in a laboratory or setting, and may not capture natural walking behavior. To address this gap, the following questions are investigated work: How can real-world data contextualized using wearable accelerometer? Can we estimate preferred leveraging contextualization?Methods:We collected two...

10.2139/ssrn.4118868 article EN SSRN Electronic Journal 2022-01-01

<sec> <title>BACKGROUND</title> The COVID-19 pandemic triggered a seismic shift in education to web-based learning. With nearly 20 million students enrolled colleges across the United States, long-simmering mental health crisis college was likely further exacerbated by pandemic. </sec> <title>OBJECTIVE</title> This study leveraged mobile (mHealth) technology and sought (1) characterize self-reported outcomes of physical, mental, social status; (2) assess physical activity through...

10.2196/preprints.34645 preprint EN cc-by 2021-11-03
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