Aspire 2024 Title Page
Neuromuscular and movement control strategies with soft passive low back exoskeleton use during EMS-specific physical agility tests
Tiash Rana Mukherjee*, Tiago Gunter, Eshan Manchanda, Oshin Tyagi, Ranjana K. Mehta
Motivation
2 million Emergency Medical Technicians and Paramedics help 22 million patients each year1
22,781 injuries in Emergency Medical Service2
Injury rate – 3 times the national average across any occupation2
1. NIOSH (2022) ,2. Kim et al (2017)
Motivation
Main cause: Patient Handling and Lifting
42% injuries lower back 1,2
1. NIOSH (2022) ,2. Kim et al (2017)
Current Mitigation Strategies
3. Cole (2018) 4. Crill et al (2005)
Current Mitigation Strategies
3. Cole (2018) 4. Crill et al (2005)
Unpredictable Environments4
Strenuous Physical & Cognitive Demands 4,5
Limitations to design solutions
4. Sayre, MR, et al (2002) 5. Horberg, A. et al (2019)
Potential Solution
Can soft passive low back exoskeletons help?
6. Goršič et al (2021) 7. Yandell et. al (2020) 8. Novak et. Al (2023) 9. Nuesslin et al (2023)
Potential Benefits?
8
Research Gap
Despite evaluations in other settings, the efficacy of soft low back exoskeletons in highly dynamic & unstructured environments such as Emergency Medical Service environments remains unexplored!
Evaluate the effects of using a soft passive low back exoskeleton during simulated emergency medical service tasks
Research Aim
Focus on:
Research Aim
Hypotheses
12
Methodology
Modified Physical Agility Test
Tasks Performed
Pulling the stretcher out from a parked ambulance until it automatically unloads and loads it back
Performing CPR on a dummy for 120 seconds
Carrying a 20lb cardiac monitor with the right hand across a staircase
One-hand
Carry
Squat Lifting and holding a 150 lb. dummy for 5 seconds
Backboard
Lift
Carrying a 75lb barbell at shoulder level across a staircase
Barbell
Carry
Stretcher Push/Pull
Cardiopulmonary Resuscitation (CPR)
Experimental Settings
Subjective Measurements
Performance
Electromyographic Measurements
Muscle activity collected bilaterally from:
Reference Task: Stoop Lifting 20 lbs cardiac monitor
Joint Kinematics
Functional Range of Motion Calculated as:
Joint Angle =
(95th Percentile – 5th Percentile)
Results
21
Performance
Seconds (s)
Task Completion Time & #Compressions
Comparable between conditions
Task 1: Backboard Lift
Average Muscle Activity
Functional Range of Motion
9. Yoo et. al (2012
Exoskeleton use potentially helped with redistribution of load aiding lower limbs stability9
Mean Muscle Activity
Functional Range of Motion
10. Tanaka et. al (1984)
%RVC
Task 2: One-hand Carry
LBE engagement with hip adductors, aided limb support and load redistribution10
Average Muscle Activity
Functional ROM
11. Lyon et. al (1983)
Weight transfer to non-dominant leg with reduced knee rotation and increased ankle flexion to aid stability11
Task 3: Barbell Carry
Mean Muscle Activity
Functional Range of Motion
Exoskeleton use helped reduced lower back demands
Task 4: Stretcher Push/Pull
%RVC
Mean Muscle Activity
Functional Range of Motion
13.Ho et. al (2018)
Reduced ROM aided upright position during kneeling, aiding upper body weight application during compressions13
Task 5: Cardiopulmonary Resuscitation (CPR)
%RVC
Key Results from Objective Analysis
Subjective Responses during Tasks
Comparable between conditions for all tasks!
But Subjective Responses after circuit?
Physical Demands, Temporal Demands and Effort reduced with Exoskeleton use !
Mismatch between perception of physical and mental effort during & after tasks?�
13. Dallaway et. Al (2022)
Limitations & Future Work
14. Mun et. al (2006) 15. Bennet et. al (2023) 16. Gorsic et. al (2021) 4. Bennet (2022) 17. Ojelade et. al (2023) 18. Kim et. al (2024)
Research to Practice!
This research supports that soft passive low back exoskeletons have the potential to aid emergency medical technicians!
Thank you!
Tiash Rana Mukherjee
Work supported under NSF Grant 2033592
Aspire 2024 Closing Page Blank