The Effect of Real-Time Video-Based Engagement and Feedback during Pedaling on Cadence Control and Exercise Motivation: A Proof-of-Concept Study

被引:2
|
作者
Soni, Mukesh [1 ]
Wijeratne, Tissa [2 ,3 ]
Ackland, David C. [1 ]
机构
[1] Univ Melbourne, Dept Biomed Engn, Melbourne, Vic 3010, Australia
[2] Univ Melbourne, Melbourne Med Sch, Dept Med & Neurol, AIMSS, St Albans, Vic 3021, Australia
[3] Sunshine Hosp, Western Hlth, Melbourne, Vic 3021, Australia
来源
BIOENGINEERING-BASEL | 2021年 / 8卷 / 07期
关键词
video feedback; exercise physiology; cycling; exercise performance; rehabilitation;
D O I
10.3390/bioengineering8070095
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The use of video and music as an intrinsic, dissociative attentional stimulus during exercise is thought to distract from the physical discomfort of exercise, and contribute to improved exercise adherence; however, the effects of video-based feedback and engagement during pedaling on exercise performance and motivation are poorly understood. The aims of the present study were twofold. Firstly, to develop a novel video-based engagement regime for pedaling that links pedaling cadence with the play rate of a video, and secondly, to employ an instrumented pedaling device to assess the influence of the video engagement paradigm on cadence performance and exercise motivation. Eighteen healthy subjects participated in 15-min-duration pedaling sessions while targeting a specific low cadence (60 rotations per minute) and high cadence (100 rotations per minute), including pedaling with the provision of (i) target pedaling cadence information only, (ii) visual feedback on cadence control, including pedaling duration, pedaling cadence, and cadence deviation from target, and (iii) real-time engagement, which involved pedaling at the target speed to maintain the playback rate of a pre-recorded video. Cadence deviation from the target was evaluated, and self-reported exercise motivation examined with a post-exercise survey. Pedaling-cadence deviations significantly reduced with cadence feedback at both low and high cadence (p < 0.05). Participants reported enjoying feedback and video-based engagement during pedaling, with 83% of participants feeling that engagement motivated them to perform pedaling-based exercise. In conclusion, real-time cadence control feedback and video-based engagement during pedaling for healthy individuals may improve performance in targeted pedaling tasks. Through dissociation from the physical cues associated with exercise and fatigue, feedback and engagement may ultimately increase enjoyment and exercise compliance and adherence of pedaling-based exercise. The findings may be useful in prescription and maintenance of targeted pedaling exercises for stroke rehabilitation and exercise therapy.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Non-invasive real-time assessment of hepatic macrovesicular steatosis in liver donors: Hypothesis, design and proof-of-concept study
    Rajamani, Allwyn S.
    Rammohan, Ashwin
    Sai, Vv Raghavendra
    Rela, Mohamed
    WORLD JOURNAL OF HEPATOLOGY, 2021, 13 (10) : 1208 - 1214
  • [42] Non-invasive real-time assessment of hepatic macrovesicular steatosis in liver donors:Hypothesis,design and proof-of-concept study
    Allwyn S Rajamani
    Ashwin Rammohan
    VV Raghavendra Sai
    Mohamed Rela
    World Journal of Hepatology, 2021, 13 (10) : 1208 - 1214
  • [43] Transrectal ultrasound image-based real-time augmented reality guidance in robot-assisted laparoscopic rectal surgery: a proof-of-concept study
    Jun Shen
    Nabil Zemiti
    Christophe Taoum
    Guillaume Aiche
    Jean-Louis Dillenseger
    Philippe Rouanet
    Philippe Poignet
    International Journal of Computer Assisted Radiology and Surgery, 2020, 15 : 531 - 543
  • [44] Transrectal ultrasound image-based real-time augmented reality guidance in robot-assisted laparoscopic rectal surgery: a proof-of-concept study
    Shen, Jun
    Zemiti, Nabil
    Taoum, Christophe
    Aiche, Guillaume
    Dillenseger, Jean-Louis
    Rouanet, Philippe
    Poignet, Philippe
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2020, 15 (03) : 531 - 543
  • [45] Real Time Cloud-Based fMRI Neurofeedback Reduces the Negative Attentional Bias in Depression: A Proof-Of-Concept Study
    Mennen, Anne
    Turk-Brownes, Nicholas
    Wallace, Grant
    Seok, Darsol
    Jaganjac, Adna
    Stoct, Janet
    Debettencourt, Megan
    Cohen, Johnathan
    Norman, Kenneth
    Sheline, Yvette
    NEUROPSYCHOPHARMACOLOGY, 2020, 45 (SUPPL 1) : 311 - 311
  • [46] Real-time Noninvasive Monitoring of Intracranial Fluid Shifts During Dialysis Using Volumetric Integral Phase-Shift Spectroscopy (VIPS): A Proof-of-Concept Study
    Chethan P. Venkatasubba Rao
    Eric M. Bershad
    Eusebia Calvillo
    Nelson Maldonado
    Rahul Damani
    Sreedhar Mandayam
    Jose I. Suarez
    Neurocritical Care, 2018, 28 : 117 - 126
  • [47] Real-time Noninvasive Monitoring of Intracranial Fluid Shifts During Dialysis Using Volumetric Integral Phase-Shift Spectroscopy (VIPS): A Proof-of-Concept Study
    Rao, Chethan P. Venkatasubba
    Bershad, Eric M.
    Calvillo, Eusebia
    Maldonado, Nelson
    Damani, Rahul
    Mandayam, Sreedhar
    Suarez, Jose I.
    NEUROCRITICAL CARE, 2018, 28 (01) : 117 - 126
  • [48] Real-time automatic image-based slice tracking of gadolinium-filled balloon wedge catheter during MR-guided cardiac catheterization: A proof-of-concept study
    Vidya Shankar, Rohini
    Huang, Li
    Neji, Radhouene
    Kowalik, Grzegorz
    Neofytou, Alexander Paul
    Mooiweer, Ronald
    Moon, Tracy
    Mellor, Nina
    Razavi, Reza
    Pushparajah, Kuberan
    Roujol, Sebastien
    MAGNETIC RESONANCE IN MEDICINE, 2024, 91 (01) : 388 - 397
  • [49] Towards Tomography-Based Real-Time Control of Multiphase Flows: A Proof of Concept in Inline Fluid Separation
    Garcia, Matheus M.
    Sattar, Muhammad A.
    Atmani, Hanane
    Legendre, Dominique
    Babout, Laurent
    Schleicher, Eckhard
    Hampel, Uwe
    Portela, Luis M.
    SENSORS, 2022, 22 (12)
  • [50] Synthesizing Real-Time In-Treatment 4D Images Based on Optical Surface Signals and Pre-Treatment Images: A Proof-Of-Concept Study
    Huang, Y.
    Zhang, Y.
    MEDICAL PHYSICS, 2021, 48 (06)