Marie Hayden

ORCID: 0000-0003-0832-7537
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About
Contact & Profiles
Research Areas
  • Ergonomics and Musculoskeletal Disorders
  • Musculoskeletal pain and rehabilitation
  • Occupational Health and Safety Research
  • Agriculture and Farm Safety
  • Effects of Vibration on Health
  • Safety Warnings and Signage
  • Quality and Supply Management
  • Balance, Gait, and Falls Prevention
  • Hand Gesture Recognition Systems
  • Occupational health in dentistry
  • Vector-Borne Animal Diseases
  • Operations Management Techniques
  • Motor Control and Adaptation
  • Risk and Safety Analysis
  • Muscle activation and electromyography studies
  • Photovoltaic Systems and Sustainability
  • Product Development and Customization
  • Health, Medicine and Society
  • Context-Aware Activity Recognition Systems
  • Quality and Safety in Healthcare
  • Public Relations and Crisis Communication
  • Advanced Power Generation Technologies
  • Disaster Management and Resilience
  • Gaze Tracking and Assistive Technology
  • Animal Behavior and Welfare Studies

National Institute for Occupational Safety and Health
2018-2025

Smart Electric Grid (United States)
2022

ORCID
2020

Ohio University
2016

NSF National Center for Atmospheric Research
2008

Abstract Background: Powered equipment for patient handling was designed to alleviate Emergency Medical Service (EMS) clinician injuries while lifting patients. This project evaluated the organizational rationale purchasing powered and outcomes from use. Methods: analyzed secondary data obtained via an insurance Safety Intervention Grant (SIG) program in Ohio USA. These were primarily reports EMS organizations. Investigators applied a mixed-methods approach, analyzing quantitative 297 grants...

10.1017/s1049023x25000196 article EN Prehospital and Disaster Medicine 2025-04-15

The objective of this study was to assess the accuracy an algorithm for processing data from five inertial measurement unit (IMU) sensors measuring vertical distance (V) and horizontal (H) two handed lifting, trunk flexion angle (T) lifting duration (LD). were placed on body segments including left wrist, right upper arm dominant hand, back, thigh leg. A laboratory-grade optical motion capture system used as ground truth assessment. Data collected ten subjects that performed 12 two-handed...

10.1177/1071181319631367 article EN Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019-11-01

Occupationally-induced back pain is a leading cause of reduced productivity in industry. Detecting when worker lifting incorrectly and at increased risk injury presents significant possible benefits. These include quality life for the due to lower rates fewer workers’ compensation claims missed time employer. However, recognizing provides challenge typically small datasets subtle underlying features accelerometer gyroscope data. A novel method classify dataset using 2D convolutional neural...

10.1371/journal.pone.0247162 article EN public-domain PLoS ONE 2021-02-19

This paper presents a review of 153 case studies equipment interventions to improve safety and health construction businesses in Ohio 2003–2016. These represent $6.46 million (2016 USD) purchases incentivized through the Bureau Workers' Compensation (OHBWC) Safety Intervention Grant (SIG) program. The source data were extracted from employer grant applications final reports studies. Results aggregated by type included reduction ergonomic hazards (risk factors for work-related musculoskeletal...

10.1061/(asce)co.1943-7862.0001782 article EN Journal of Construction Engineering and Management 2020-01-20

Objective A computer vision method was developed for estimating the trunk flexion angle, angular speed, and acceleration by extracting simple features from moving image during lifting. Background Trunk kinematics is an important risk factor lower back pain, but often difficult to measure practitioners lifting assessments. Methods Mannequins representing a wide range of hand locations different postures were systematically generated using University Michigan 3DSSPP software. bounding box...

10.1177/0018720820958840 article EN Human Factors The Journal of the Human Factors and Ergonomics Society 2020-09-24

Abstract This article reviews the experiences of 63 case studies small businesses (<250 employees) with manufacturing automation equipment acquired through a health/safety intervention grant program. The review scope included technologies classified as industrial robots ( n = 17), computer numerical control (CNC) machining 29), or other programmable systems 17). Descriptions workers' compensation (WC) claim injuries and identified risk factors that motivated acquisition were extracted...

10.1002/hfm.20971 article EN Human Factors and Ergonomics in Manufacturing & Service Industries 2022-08-22

The objective of this study was to develop an algorithm for automatically processing data collected with inertial measurement unit (IMU) wearable devices measure lifting risk factors low back disorders. Five IMU sensors attached five body segments were used developing the algorithm. consists two modules running in parallel detecting beginning and ending a event as well vertical height (V) object lifted by hands horizontal (H) distance between during lift. motion synchronization feature...

10.1177/1071181319631252 article EN Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019-11-01

The American Conference of Governmental Industrial Hygienists (ACGIH) Threshold Limit Values (TLVs) for lifting provides risk zones assessing two-handed tasks. This paper describes two computational models identifying the using gyroscope information from five inertial measurement units (IMUs) attached to lifter. Two were developed: (1) ratio model body segment length ratios forearm, upper arm, trunk, thigh, and calf segments, (2) + actual measurements segments in model. evaluated data 360...

10.3390/s25010111 article EN cc-by Sensors 2024-12-27

We previously developed a method for classifying lifting postures using dimensions of rectangular bounding box drawn tightly around the subject single camera view that is more tolerable conditions encountered in industrial settings than high precision tracking and can be practically implemented on smart hand-held device. This study explores use simple to predict trunk angle while lifting. Mannequin poses were generated Michigan 3DSSPP software 105 across six anthropometries. A regression...

10.1177/1071181319631115 article EN Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019-11-01

The purpose of this study was to assess two computation models for estimating the hand locations during lifting tasks using data from five inertial measurement units (IMUs) attached body segments. first model computed location with IMU gyroscope and pre-defined ratios segment lengths. second used same information all measured lengths outcome measure these estimated in 12 zones defined by ACGIH Threshold Limit Values (TLVs) lifting. Motion collected wearable system a laboratory-grade motion...

10.1177/1071181320641301 article EN Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2020-12-01

Healthcare providers face numerous challenges in lifting and mobilizing overweight obese patients, which often lead to musculoskeletal disorders (MSDs). To address this, hospitals implement safe patient handling mobility (SPHM) programs, including mechanical lift equipment, policies, training. This study surveyed 134 healthcare workers five Veterans Administration Medical Centers who regularly used SPHM programs. According findings, bariatric patients frequently correlated with higher...

10.54941/ahfe1004381 article EN AHFE international 2023-01-01
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