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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)

  • 22,781 injuries in EMS 1
    • 3 times national average of injuries across any work domain 1
    • 42% injuries lower back 1,2
    • Main cause: Patient Handling and Lifting
  • 2 million EMS → 22 millions patients/year 2

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  • Current mitigation strategies
    • Automatic Stretchers 2,3
    • Trainings for better lifting strategies 2,3,4

  • Injury rates are still high
    • Current solutions and techniques are not effective
    • Difficulties in designing strategies due to unstructured nature of EMS

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

  • Reduced muscular loads in lower back 1,2
  • Changes in range of motion allowing more ergonomic lifting strategy 3.4
  • Perceived physical exertion is lowered with LBE use for repetitive lifting and lowering tasks 3

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

  • Reduction in muscular load​ in the lowback
  • Changes in ROM allowing efficient utilization of legs during lifting tasks
  • EMTs will perceive lowered physical and mental demands

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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

  • Average Age (SD):
  • Average BMI (SD):
  • Average Years of experience (SD): 10 (5.6)

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

  • Mean (50th percentile)
  • Peak (90th percentile)
  • Reference Task: Symmetrical Ankle to Overhead Lifting with a 9.8 kg cardiac monitor

Dependent Variables:

  • Muscle Activity

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What did we do?

Statistical Analysis performed using Wilcoxon's Signed Rank Test b/w conditions (control, exo)

  • Head
  • Shoulder
  • Elbow
  • Wrist

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Dependent Variables:

  • Muscle Activity
  • Range of Motion

Formula ROM = Joint Angle (95th Percentile – 5th Percentile)

Number of participants: 20

  • Average Age (SD):
  • Average BMI (SD):
  • Average Years of experience (SD): 10 (5.6)

  • L5/S1
  • Hip
  • Knee
  • Ankle

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What did we do?

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Dependent Variables:

  • Muscle Activity
  • Range of Motion

  • Ratings of perceived exertion
  • Mental Demand
  • NASA - TLX

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

  • Average Age (SD):
  • Average BMI (SD):
  • Average Years of experience (SD): 10 (5.6)

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Results!

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Electromyography

  • Benefits observed in lower limbs
    • Lowered muscular demand seen in left side (19 EMTs - right dominant) 
      • Weight transfer to non-dominant leg provides stability 1-3
      • LBE use offloaded weight from the left limb 
        • Benefits seen in squat lifting, staircase climbing and on-floor CPR

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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)

  • Muscle Activity comparable between conditions for low back
    • Deviates prior studies evaluating LBE
      • Where, LBE use decreases spinal loads therefore decreases muscular load in the lower back
    • Exoskeleton use did not affect low back or shoulder
      • EMTs knew movement kinematics – already used their legs more than the lowback

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)

  • Enabled different postural strategies 
    • ~40% ↑ Hip Adduction, ~37% ↓ Knee Rotation, ~10% ↑ Ankle Flexion
        • No differences observed during lifting tasks
        • Potentially contributing to Limb Stability during stair climbing tasks
          • Causing improved load redistribution in the Biceps Femoris4
    • ~12% ↓ Knee Rotation & Adduction during CPR
        • CPR requires effective upper body weight during chest com5
          • Reduced ROM enabled an improved upright position during kneeling

With LBE use - Red: ↑ Green:↓

One-Hand Carry

Barbell Carry

CPR

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Perception

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  • Despite comparable ratings of RPE and MD, users report lower ratings of perceived workload with exoskeleton use
    • Aligns with no differences observed in muscle activity of lower back
    • But suggests a mismatch between effort assessments during individual tasks and after circuit completion

With LBE use - Red: ↑ Green:↓

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Limitations & Future Work

  • Current study focused only on Range of Motion and Muscle Activity 4-6
    • Is the LBE use enhancing task performance?
    • Did EMTs adopt different postural strategies to accommodate similar levels of performance?

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  • Immediate benefits not recognized is a concern 1
    • This can affect user’s willingness to adopt LBEs
    • Need to investigate user perception and perspectives
  • Sex differences might influence HEI  2-4
    • Studies evaluating LBEs have reported significant sex differences  
    • Particularly due to sex-based differences in human physiology

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:

https://neuroergolab.org/

Tiash Rana Mukherjee:

tiashrana@tamu.edu

LinkedIn: ./tiashranamukherjee

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