How to Train Your Posture: Haptic Feedback Can be Used for Postural Adaptation of the Trunk During Upper-Limb Motor Training

被引:3
|
作者
Agarwal, Rakhi [1 ,2 ]
Hussain, Asif [3 ]
Campolo, Domenico [1 ]
Varadhan, S. K. M. [2 ]
机构
[1] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
[2] Indian Inst Technol, Dept Appl Mech, Madras 600036, Tamil Nadu, India
[3] Articares Pte Ltd, Singapore 639798, Singapore
关键词
Robotic rehabilitation; haptic; trunk posture; motor learning; low back pain; stroke; INTERFERENCE; CONCURRENT; STROKE; PLANAR;
D O I
10.1109/TOH.2023.3248619
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Poor trunk posture, especially during long periods of sitting, could lead to problems such as Low Back Pain (LBP) and Forward Head Posture (FHP). Typical solutions are based on visual or vibration-based feedback. However, these systems could lead to feedback being ignored by the user and phantom vibration syndrome, respectively. In this study, we propose using haptic feedback for postural adaptation. In this two-part study, twenty-four healthy participants (age 25.87 +/- 2.17 years) adapted to three different postural targets in the anterior direction while performing a unimanual reaching task using a robotic device. Results suggest a strong adaptation to the desired postural targets. Mean anterior trunk bending after the intervention is significantly different compared to baseline measurements for all postural targets. Additional analysis of movement straightness and smoothness indicates an absence of any negative interference of posture-based feedback on the performance of reaching movement. Taken together, these results suggest that haptic feedback-based systems could be used for postural adaptation applications. Also, this type of postural adaptation system can be used during the rehabilitation of stroke patients to reduce trunk compensation in lieu of typical physical constraint-based methods.
引用
收藏
页码:182 / 193
页数:12
相关论文
共 5 条
  • [1] Haptic feedback system for postural adaptation during robotic rehabilitation of upper limb
    Agarwal, Rakhi
    Hussain, Asif
    Varadhan, S. K. M.
    Campolo, Domenico
    2022 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2022,
  • [2] Visual vs vibrotactile feedback for posture assessment during upper-limb robot-aided rehabilitation
    di Luzio, Francesco Scotto
    Lauretti, Clemente
    Cordella, Francesca
    Draicchio, Francesco
    Zollo, Loredana
    APPLIED ERGONOMICS, 2020, 82
  • [3] Fatigue, induced via repetitive upper-limb motor tasks, influences trunk and shoulder kinematics during an upper limb reaching task in a virtual reality environment
    Dupuis, Frederique
    Sole, Gisela
    Wassinger, Craig
    Bielmann, Mathieu
    Bouyer, Laurent J.
    Roy, Jean-Sebastien
    PLOS ONE, 2021, 16 (04):
  • [4] Neurons in red nucleus and primary motor cortex exhibit similar responses to mechanical perturbations applied to the upper-limb during posture
    Herter, Troy M.
    Takei, Tomohiko
    Munoz, Douglas P.
    Scott, Stephen H.
    FRONTIERS IN INTEGRATIVE NEUROSCIENCE, 2015, 9
  • [5] Effect of position feedback during task-oriented upper-limb training after stroke: Five-case pilot study
    Molier, Birgit I.
    Prange, Gerdienke B.
    Krabben, Thijs
    Stienen, Arno H. A.
    van der Kooij, Herman
    Buurke, Jaap H.
    Jannink, Michiel J. A.
    Hermens, Hermie J.
    JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 2011, 48 (09): : 1109 - 1117