Assessing the effects of a soft passive lowback exoskeleton for emergency medical services
Tiash Rana Mukherjee, Tiago Gunter, Eshan Manchanda,
Oshin Tyagi, Ranjana K. Mehta, Prabhakar Pagilla
4th IEEE International Conference on Human-Machine Systems
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Motivation
Emergency Medical Technicians and Paramedics (EMTs) Injuries in the US (2022)
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Reference: 1. NIOSH (2022) ,2. Kim et al (2017) 3. Cole (2018) 4. Crill et al (2005)
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Ergonomic Solution
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Soft Passive Low back Exoskeletons (LBE) can be a potential solution.
“They are wearable devices that augment, enable, assist, or enhance motion, posture, or physical activity”
LBE use in manufacturing industries
Reference: 1. Goršič et al (2021) 2. Yandell et. al (2020) 3. Novak et. Al (2023) 4. Nuesslin et al (2023)
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Ergonomic Solution
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Soft Passive Low back Exoskeletons (LBE) can be a potential solution.
Research Objective:
Evaluate the neuromuscular, biomechanical, and subjective perceptions of Lowback exoskeleton use in Emergency Medical Service
Hypothesis
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What did we do?
Experimental Protocol
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Participant wearing the Hero Wear Back Assist Exosuit
Tasks selected based on EMT specific Physical Agility Tasks (PAT)
Control and Exo conditions counterbalanced.
Repeated twice in each condition. All EMTs did both conditions.
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What did we do?
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Number of participants: 20
Statistical Analysis performed using Wilcoxon's Signed Rank Test b/w conditions (control, exo)
Anterior Deltoids
Upper Trapezius
Lumbar Erector Spinae
Biceps Femoris
Metrics: Amplitude Probability Density Function
Dependent Variables:
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What did we do?
Statistical Analysis performed using Wilcoxon's Signed Rank Test b/w conditions (control, exo)
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Dependent Variables:
Formula ROM = Joint Angle (95th Percentile – 5th Percentile)
Number of participants: 20
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What did we do?
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Dependent Variables:
Participant
Researcher
Participant performing Backboard Lifting task
Collected after trials in each condition were completed.
Statistical Analysis performed using Wilcoxon's Signed Rank Test b/w conditions (control, exo)
Number of participants: 20
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Results!
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Electromyography
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Reference: 1. Yoo et. al (2012) 2. Tanaka et. al (1984) 3. Oda et. al (1995) 4. Lyon et. al (1983) 5. Ho et. al (2018)
With LBE use - Red: ↑ Green:↓
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Motion Capture
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Reference: 1. Yoo et. al (2012) 2. Tanaka et. al (1984) 3. Oda et. al (1995) 4. Lyon et. al (1983) 5. Ho et. al (2018)
With LBE use - Red: ↑ Green:↓
One-Hand Carry
Barbell Carry
CPR
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Perception
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With LBE use - Red: ↑ Green:↓
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Limitations & Future Work
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Reference: 1. Mun et. al (2006) 2. Bennet et. al (2023) 3. Gorsic et. al (2021) 4. Bennet (2022) 5. Ojelade et. al (2023) 6. Kim et. al (2024)
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Thank you!
Connect with us!
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Advanced Robotics Laboratory at Texas A&M:
https://robotics.engr.tamu.edu/
Neuroergonomics Laboratory at
University of Wisconsin – Madison:
Tiash Rana Mukherjee:
LinkedIn: ./tiashranamukherjee
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The professional home for the engineering and technology community worldwide