Literature DB >> 21511568

A wearable device for real-time motion error detection and vibrotactile instructional cuing.

Beom-Chan Lee1, Shu Chen, Kathleen H Sienko.   

Abstract

We have developed a mobile instrument for motion instruction and correction (MIMIC) that enables an expert (i.e., physical therapist) to map his/her movements to a trainee (i.e., patient) in a hands-free fashion. MIMIC comprises an expert module (EM) and a trainee module (TM). Both the EM and TM are composed of six-degree-of-freedom inertial measurement units, microcontrollers, and batteries. The TM also has an array of actuators that provide the user with vibrotactile instructional cues. The expert wears the EM, and his/her relevant body position is computed by an algorithm based on an extended Kalman filter that provides asymptotic state estimation. The captured expert body motion information is transmitted wirelessly to the trainee, and based on the computed difference between the expert and trainee motion, directional instructions are displayed via vibrotactile stimulation to the skin. The trainee is instructed to move in the direction of the vibration sensation until the vibration is eliminated. Two proof-of-concept studies involving young, healthy subjects were conducted using a simplified version of the MIMIC system (pre-specified target trajectories representing ideal expert movements and only two actuators) during anterior-posterior trunk movements. The first study was designed to investigate the effects of changing the expert-trainee error thresholds (0.5(°), 1.0(°), and 1.5(°)) and varying the nature of the control signal (proportional, proportional plus derivative). Expert-subject cross-correlation values were maximized (0.99) and average position errors (0.33(°)) and time delays (0.2 s) were minimized when the controller used a 0.5(°) error threshold and proportional plus derivative feedback control signal. The second study used the best performing activation threshold and control signal determined from the first study to investigate subject performance when the motion task complexity and speed were varied. Subject performance decreased as motion speed and complexity increased.
© 2011 IEEE

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Year:  2011        PMID: 21511568     DOI: 10.1109/TNSRE.2011.2140331

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  12 in total

1.  The critical stability task: quantifying sensory-motor control during ongoing movement in nonhuman primates.

Authors:  Kristin M Quick; Jessica L Mischel; Patrick J Loughlin; Aaron P Batista
Journal:  J Neurophysiol       Date:  2018-06-27       Impact factor: 2.714

2.  A Haptic Feedback System for Phase-Based Sensory Restoration in Above-Knee Prosthetic Leg Users.

Authors:  Aaron Plauche; Dario Villarreal; Robert D Gregg
Journal:  IEEE Trans Haptics       Date:  2016-06-14       Impact factor: 2.487

3.  Effects of vibrotactile feedback on human learning of arm motions.

Authors:  Karlin Bark; Emily Hyman; Frank Tan; Elizabeth Cha; Steven A Jax; Laurel J Buxbaum; Katherine J Kuchenbecker
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-06-02       Impact factor: 3.802

4.  Cell phone based balance trainer.

Authors:  Beom-Chan Lee; Jeonghee Kim; Shu Chen; Kathleen H Sienko
Journal:  J Neuroeng Rehabil       Date:  2012-02-08       Impact factor: 4.262

5.  A Portable Gait Asymmetry Rehabilitation System for Individuals with Stroke Using a Vibrotactile Feedback.

Authors:  Muhammad Raheel Afzal; Min-Kyun Oh; Chang-Hee Lee; Young Sook Park; Jungwon Yoon
Journal:  Biomed Res Int       Date:  2015-06-16       Impact factor: 3.411

Review 6.  Haptic wearables as sensory replacement, sensory augmentation and trainer - a review.

Authors:  Peter B Shull; Dana D Damian
Journal:  J Neuroeng Rehabil       Date:  2015-07-20       Impact factor: 4.262

7.  Supplemental vibrotactile feedback control of stabilization and reaching actions of the arm using limb state and position error encodings.

Authors:  Alexis R Krueger; Psiche Giannoni; Valay Shah; Maura Casadio; Robert A Scheidt
Journal:  J Neuroeng Rehabil       Date:  2017-05-02       Impact factor: 4.262

8.  Evaluating the effects of delivering integrated kinesthetic and tactile cues to individuals with unilateral hemiparetic stroke during overground walking.

Authors:  Muhammad Raheel Afzal; Sanghun Pyo; Min-Kyun Oh; Young Sook Park; Jungwon Yoon
Journal:  J Neuroeng Rehabil       Date:  2018-04-16       Impact factor: 4.262

Review 9.  Recent Progress in Wearable Biosensors: From Healthcare Monitoring to Sports Analytics.

Authors:  Shun Ye; Shilun Feng; Liang Huang; Shengtai Bian
Journal:  Biosensors (Basel)       Date:  2020-12-15

10.  The effects of different sensory augmentation on weight-shifting balance exercises in Parkinson's disease and healthy elderly people: a proof-of-concept study.

Authors:  Beom-Chan Lee; Timothy A Thrasher; Stanley P Fisher; Charles S Layne
Journal:  J Neuroeng Rehabil       Date:  2015-09-02       Impact factor: 4.262

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