Closing the Wearable Gap – Part III: Use of Stretch Sensors in Detecting Ankle Joint Kinematics During Unexpected and Expected Slip and Trip Perturbations

Details

• Personal Author:
  Ball JE ; Burch RF V ; Chander H ; Knight AC ; Luczak T ; Nguyen P ; Prabhu RK ; Saucier D ; Smith BK ; Stewart E ; Ball JE ; Burch RF V ; Chander H ; Knight AC ; Luczak T ; Nguyen P ; Prabhu RK ; Saucier D ; Smith BK ; Stewart E
• Description:
  Background: An induced loss of balance resulting from a postural perturbation has been reported as the primary source for postural instability leading to falls. Hence; early detection of postural instability with novel wearable sensor-based measures may aid in reducing falls and fall-related injuries. The purpose of the study was to validate the use of a stretchable soft robotic sensor (SRS) to detect ankle joint kinematics during both unexpected and expected slip and trip perturbations. Methods: Ten participants (age: 23.7 +/- 3.13 years; height: 170.47 +/- 8.21 cm; mass: 82.86 +/- 23.4 kg) experienced a counterbalanced exposure of an unexpected slip, an unexpected trip, an expected slip, and an expected trip using treadmill perturbations. Ankle joint kinematics for dorsiflexion and plantarflexion were quantified using three-dimensional (3D) motion capture through changes in ankle joint range of motion and using the SRS through changes in capacitance when stretched due to ankle movements during the perturbations. Results: A greater R-squared and lower root mean square error in the linear regression model was observed in comparing ankle joint kinematics data from motion capture with stretch sensors. Conclusions: Results from the study demonstrated that 71.25% of the trials exhibited a minimal error of less than 4.0 degrees difference from the motion capture system and a greater than 0.60 R-squared value in the linear model; suggesting a moderate to high accuracy and minimal errors in comparing SRS to a motion capture system. Findings indicate that the stretch sensors could be a feasible option in detecting ankle joint kinematics during slips and trips. [Description provided by NIOSH]
• Subjects:
  Accidental Falls Accidents Musculoskeletal System Occupational Health Safety
• Keywords:
  Ankle Kinematics Author Keywords: Falls Lower Extremities Motion Studies Postural Perturbations Posture Robotics Sensors Slips Slips, Trips, And Falls STF Stretch-sensors Trips Wearables Wearable Technologies

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• ISSN:
  2079-9292
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article ; Journal Article
• Place as Subject:
  Alabama ; Mississippi ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH) ; National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health ; Workplace Safety & Health
• Location:
  North America ; North America
• Volume:
  8
• Issue:
  10
• NIOSHTIC Number:
  nn:20068487
• Citation:
  Electronics 2019 Oct; 8(10):1083
• Contact Point Address:
  Harish Chander, Department of Kinesiology, Mississippi State University, Mississippi State, MS 39762, USA
• Email:
  hchander@colled.msstate.edu
• Federal Fiscal Year:
  2020
• Performing Organization:
  University of Alabama at Birmingham
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Electronics
• End Date:
  20270630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:282c28c72ce791395abadbec53a68c1b260f4aa18d4c3f424dce79d4d48b0a5baee8c819401bb872c10f57959b7065a0c27157aafe2b15ea59d6ba30540be2e9
• Download URL:
  https://stacks.cdc.gov/view/cdc/207103/cdc_207103_DS1.pdf
• File Type:
  [PDF - 3.13 MB ]