Investigation of the Influence of Induced Mood on Rehabilitation Engagement: a Study Focusing on Muscle Activity
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Engagement is an important factor in the field of rehabilitation as it is a known factor that have a positive influence on functional gaining in people who receive rehabilitation therapy. Although a number of measurements for engagement have been recently developed, investigation of possible factors that may have influence on engagement is not well established. Currently available evidence suggests that engagement is affected by mood and it is hypothesized that a personal factor may contribute to engagement. Therefore, this study aims to test the hypothetical relationship between mood and engagement while performing a manual dexterity task through an experiment in healthy participants prior to investigation on people with medical condition who requires rehabilitation therapy. After inducing target mood (positive or negative mood) for study participants by asking them to recall autobiographical memories, change in muscle activity, which was operationalized as an indicator of engagement, was investigated. Electromyogram (EMG) was recorded from four muscle areas in non-dominant hand side to quantify muscle activity. The results show that the target moods were appropriately induced with the method. Although there were subtle differences in the level of engagement between different moods, certain variables derived from muscle activity were significantly different; mean amplitude for wrist extensor EMG showed significant difference between different moods (Z = -2.023, p < .05) indicating that muscle activities in the wrist extensor are greater for positive mood than negative mood region during manual dexterity task. Meanwhile, performance outcomes of Minnesota Manual Dexterity Test (MMDT), such as mean completion time and number of errors, between moods showed no significant difference in two different moods, resulting in MMDT administration may not be useful task in distinguishing the level of rehabilitation engagement.
Abstract
Engagement is an important factor in the field of rehabilitation as it is a known factor that have a positive influence on functional gaining in people who receive rehabilitation therapy. Although a number of measurements for engagement have been recently developed, investigation of possible factors that may have influence on engagement is not well established. Currently available evidence suggests that engagement is affected by mood and it is hypothesized that a personal factor may contribute to engagement. Therefore, this study aims to test the hypothetical relationship between mood and engagement while performing a manual dexterity task through an experiment in healthy participants prior to investigation on people with medical condition who requires rehabilitation therapy. After inducing target mood (positive or negative mood) for study participants by asking them to recall autobiographical memories, change in muscle activity, which was operationalized as an indicator of engagement, was investigated. Electromyogram (EMG) was recorded from four muscle areas in non-dominant hand side to quantify muscle activity. The results show that the target moods were appropriately induced with the method. Although there were subtle differences in the level of engagement between different moods, certain variables derived from muscle activity were significantly different; mean amplitude for wrist extensor EMG showed significant difference between different moods (Z = -2.023, p < .05) indicating that muscle activities in the wrist extensor are greater for positive mood than negative mood region during manual dexterity task. Meanwhile, performance outcomes of Minnesota Manual Dexterity Test (MMDT), such as mean completion time and number of errors, between moods showed no significant difference in two different moods, resulting in MMDT administration may not be useful task in distinguishing the level of rehabilitation engagement.
참고문헌 (26)
- Joon-Ho Shin, "Effects of virtual reality-based rehabilitation on distal upper extremity function and health-related quality of life: a single-blinded, randomized controlled trial", Journal of NeuroEngineering and Rehabilitation, 13(1) (2016), Springer Science and Business Media LLC[DOI]
- Katherine Chen, "Implications of Wearables, Fitness Tracking Services, and Quantified Self on Healthcare", Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), pp.1066~1070 (2017), SAGE Publications[DOI]
- Paweł Maciejasz, "A survey on robotic devices for upper limb rehabilitation", Journal of NeuroEngineering and Rehabilitation, 11(1) (2014), Springer Science and Business Media LLC[DOI]
- Roger Gassert, "Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective", Journal of NeuroEngineering and Rehabilitation, 15(1) (2018), Springer Science and Business Media LLC[DOI]
- Niall Maclean, "The Concept of Patient Motivation", Stroke, 33(2), pp.444~448 (2002), Ovid Technologies (Wolters Kluwer Health)[DOI]
- Eric J Lenze, "The Pittsburgh Rehabilitation Participation Scale: reliability and validity of a clinician-rated measure of participation in acute rehabilitation", Archives of Physical Medicine and Rehabilitation, 85(3), pp.380~384 (2004), Elsevier BV[DOI]
- Kathleen B. Kortte, "The Hopkins Rehabilitation Engagement Rating Scale: Development and Psychometric Properties", Archives of Physical Medicine and Rehabilitation, 88(7), pp.877~884 (2007), Elsevier BV[DOI]
- Wanjoo Park, "Assessment of Cognitive Engagement in Stroke Patients From Single-Trial EEG During Motor Rehabilitation", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(3), pp.351~362 (2015), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Anthony H. Lequerica, "Psychometric properties of the rehabilitation therapy engagement scale when used among individuals with acquired brain injury", Rehabilitation Psychology, 51(4), pp.331~337 (2006), American Psychological Association (APA)[DOI]
- Anthony H. Lequerica, "Therapeutic Engagement", American Journal of Physical Medicine & Rehabilitation, 89(5), pp.415~422 (2010), Ovid Technologies (Wolters Kluwer Health)[DOI]
- MacDonald GA, "Barriers and facilita-tors to engagement in rehabilitation for people with stroke: a review of the literature", New Zealand Journal of Physiother-apy, 41(3), pp.112~121 (2013)
- Anne M. Goodwin, "Mood-induction research—its implications for clinical depression", Behaviour Research and Therapy, 20(4), pp.373~382 (1982), Elsevier BV[DOI]
- Bradley MM, "Measuring emotion: the self-assessment manikin and the semantic differential", Journal of behavior therapy and experimental psychiatry, (1), pp.49~59 (1994)
- Johanne Desrosiers, "The Minnesota Manual Dexterity Test: Reliability, Validity and Reference Values Studies with Healthy Elderly People", Canadian Journal of Occupational Therapy, 64(5), pp.270~276 (1997), SAGE Publications[DOI]
- Kumar S, "Electromyography in ergonomics" (1996), CRC Press
- Lukas Zimmerli, "Increasing Patient Engagement During Virtual Reality-Based Motor Rehabilitation", Archives of Physical Medicine and Rehabilitation, 94(9), pp.1737~1746 (2013), Elsevier BV[DOI]
- Chong Li, "Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants", International Journal of Rehabilitation Research, 37(4), pp.334~342 (2014), Ovid Technologies (Wolters Kluwer Health)[DOI]
- Mario Cifrek, "Surface EMG based muscle fatigue evaluation in biomechanics", Clinical Biomechanics, 24(4), pp.327~340 (2009), Elsevier BV[DOI]
- Glenn V. Ostir, "Associations Between Positive Emotion and Recovery of Functional Status Following Stroke", Psychosomatic Medicine, 70(4), pp.404~409 (2008), Ovid Technologies (Wolters Kluwer Health)[DOI]
- Granger CV, "Performance profiles of the functional indepen-dence measure", American Journal of Physical Medicine &Rehabilitation, 72(2) (1993)
- Frijda NH, "The Emotions" (1986), Cambridge University Press
- Pablo Briñol, "Happiness versus sadness as a determinant of thought confidence in persuasion: A self-validation analysis", Journal of Personality and Social Psychology, 93(5), pp.711~727 (2007), American Psychological Association (APA)[DOI]
- Galen V. Bodenhausen, "Happiness and stereotypic thinking in social judgment", Journal of Personality and Social Psychology, 66(4), pp.621~632 (1994), American Psychological Association (APA)[DOI]
- Keren Fisher, "Emotional distress as a mediator of the relationship between pain and disability: An experimental study", British Journal of Health Psychology, 1(3), pp.207~218 (1996), Wiley[DOI]
- Christophe Jallais, "Inducing changes in arousal and valence: Comparison of two mood induction procedures", Behavior Research Methods, 42(1), pp.318~325 (2010), Springer Science and Business Media LLC[DOI]
- Zhang X, "How does this make you feel? A comparison of four affect induction procedures", Frontiers in Psychology, 5, pp.689~