1
|
Pacheco-Barrios K, Ortega-Márquez J, Fregni F. Haptic Technology: Exploring Its Underexplored Clinical Applications-A Systematic Review. Biomedicines 2024; 12:2802. [PMID: 39767709 PMCID: PMC11673350 DOI: 10.3390/biomedicines12122802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Revised: 12/05/2024] [Accepted: 12/08/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND/OBJECTIVES Haptic technology has transformed interactions between humans and both tangible and virtual environments. Despite its widespread adoption across various industries, the potential therapeutic applications of this technology have yet to be fully explored. METHODS A systematic review of randomized controlled trials (RCTs) and randomized crossover trials was conducted, utilizing databases such as PubMed, Embase, Cochrane Library, and Web of Science. This review included studies reporting clinical applications of haptic technology in rehabilitation, cognition, wellness, and mental health among adult subjects. RESULTS This systematic review included 34 studies, of which 20 focused on clinical outcomes and 14 on learning clinical skills. The results showed that haptic devices, both robotic and non-robotic, enhance sensorimotor performance and motor function in rehabilitation settings, especially in post-stroke recovery, with reported effect sizes ranging from 0.2 to 0.7. The majority of the haptic technologies reported were integrated into robotic systems (40%). Haptic devices were also reported to improve clinical skills training by providing tactile feedback that enhances procedural performance and trainee self-efficacy. In fact, surgical simulations accounted for 79% of all the modalities used for medical training. CONCLUSIONS This review underscores the potential yet underexplored applications of haptic technology in healthcare, including medical education, rehabilitation, cognition, and mental health. The key limitations of this review include heterogeneity across studies, small sample sizes, and a scarcity of comprehensive, long-term investigations. Therefore, future research should aim to validate these findings further and expand the applications of haptic technology to maximize its utility in the healthcare industry and clinical practice.
Collapse
Affiliation(s)
- Kevin Pacheco-Barrios
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (K.P.-B.); (J.O.-M.)
- Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima 15023, Peru
| | - Jorge Ortega-Márquez
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (K.P.-B.); (J.O.-M.)
| | - Felipe Fregni
- Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (K.P.-B.); (J.O.-M.)
| |
Collapse
|
2
|
Luo X, Zhang A, Li Y, Zhang Z, Ying F, Lin R, Yang Q, Wang J, Huang G. Emergence of Artificial Intelligence Art Therapies (AIATs) in Mental Health Care: A Systematic Review. Int J Ment Health Nurs 2024; 33:1743-1760. [PMID: 39020473 DOI: 10.1111/inm.13384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/26/2024] [Accepted: 06/11/2024] [Indexed: 07/19/2024]
Abstract
The application of artificial intelligence art therapies (AIATs) in mental health care represents an innovative merger between digital technology and the therapeutic potential of creative arts. This systematic review aimed to assess the effectiveness and ethical considerations of AIATs, incorporating robots, AI painting and AI Chatbots to augment traditional art therapies. Aligning with the Preferred Reporting Items for systematic reviews (PRISMA) guidelines, we meticulously searched PubMed, Cochrane Library, Web of Science and CNKI, resulting in 15 selected articles for detailed analysis. To ensure methodological quality, we applied the Joanna Briggs Institute (JBI) criteria for quality assessment and extracted data using the PICO(S) format, specifically targeting randomised controlled trials (RCTs). Our findings suggest that AIATs can profoundly enhance the therapeutic experience by providing new creative outlets and reinforcing existing methods, despite possible drawbacks and ethical challenges. This examination underscores AIATs' potential to enrich mental health therapies, emphasising the critical importance of ethical considerations and the responsible application of AI as the field evolves. With a focus on expanding treatment efficacy and patient expressiveness, the promise of AIATs in mental health care necessitates a careful balance between innovation and ethical responsibility. Trial Registration: PROSPERO: CRD42024504472.
Collapse
Affiliation(s)
- Xuexing Luo
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Aijia Zhang
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Yu Li
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau
| | - Zheyu Zhang
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Fangtian Ying
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
- Zhejiang University, Hangzhou, China
| | - Runqing Lin
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
| | - Qianxu Yang
- Department of Social and Preventive Medicine, Faculty of Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia
| | - Jue Wang
- State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, Macau
- Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Guanghui Huang
- Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau
- Zhuhai M.U.S.T. Science and Technology Research Institute, Macau University of Science and Technology, Taipa, Macau
| |
Collapse
|
3
|
Zhang C, Yu S. The Technology to Enhance Patient Motivation in Virtual Reality Rehabilitation: A Review. Games Health J 2024; 13:215-233. [PMID: 39159237 DOI: 10.1089/g4h.2023.0069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/21/2024] Open
Abstract
Virtual reality (VR) technology has experienced a steady rise and has been widely applied in the field of rehabilitation. The integration of VR technology in rehabilitation has shown promising results in enhancing their motivation for treatment, thereby enabling patients to actively engage in rehab training. Despite the advancement, there is a dearth of comprehensive summary and analysis on the use of VR technology to enhance patient motivation in rehabilitation. Thus, this narrative review aims to evaluate the potential of VR technology in enhancing patient motivation during motor rehabilitation training. This review commences with an explanation of how enhancing motivation through the VR rehabilitation system could improve the efficiency and effectiveness of rehabilitation training. Then, the technology was analyzed to improve patient motivation in the present VR rehabilitation system in detail. Furthermore, these technologies are classified and summarized to provide a comprehensive overview of the state-of-the-art approaches for enhancing patient motivation in VR rehabilitation. Findings showed VR rehabilitation training utilizes game-like exercises to enhance the engagement and enjoyment of rehabilitation training. By immersing patients in a simulated environment with multisensory feedback, VR systems offer a unique approach to rehabilitation that can lead to improved patient motivation. Both ultimately lead to improved patient outcomes, which is not typically achievable with traditional rehabilitation methods. The review concludes that VR rehabilitation presents an opportunity to improve patient motivation and adherence to long-term rehabilitation training. However, to further enhance patient self-efficacy, VR rehabilitation should integrate psychology and incorporate methods. Moreover, it is necessary to build a game design theory for rehabilitation games, and the latest VR feedback technology should also be introduced.
Collapse
Affiliation(s)
- Chengjie Zhang
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Suiran Yu
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
4
|
Palumbo A, Groves K, Munoz-Vidal EL, Turry A, Codio R, Raghavan P, Schambra H, Voelbel GT, Ripollés P. Improvisation and live accompaniment increase motor response and reward during a music playing task. Sci Rep 2024; 14:13112. [PMID: 38849348 PMCID: PMC11161496 DOI: 10.1038/s41598-024-62794-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 05/21/2024] [Indexed: 06/09/2024] Open
Abstract
Music provides a reward that can enhance learning and motivation in humans. While music is often combined with exercise to improve performance and upregulate mood, the relationship between music-induced reward and motor output is poorly understood. Here, we study music reward and motor output at the same time by capitalizing on music playing. Specifically, we investigate the effects of music improvisation and live accompaniment on motor, autonomic, and affective responses. Thirty adults performed a drumming task while (i) improvising or maintaining the beat and (ii) with live or recorded accompaniment. Motor response was characterized by acceleration of hand movements (accelerometry), wrist flexor and extensor muscle activation (electromyography), and the drum strike count (i.e., the number of drum strikes played). Autonomic arousal was measured by tonic response of electrodermal activity (EDA) and heart rate (HR). Affective responses were measured by a 12-item Likert scale. The combination of improvisation and live accompaniment, as compared to all other conditions, significantly increased acceleration of hand movements and muscle activation, as well as participant reports of reward during music playing. Improvisation, regardless of type of accompaniment, increased the drum strike count and autonomic arousal (including tonic EDA responses and several measures of HR), as well as participant reports of challenge. Importantly, increased motor response was associated with increased reward ratings during music improvisation, but not while participants were maintaining the beat. The increased motor responses achieved with improvisation and live accompaniment have important implications for enhancing dose of movement during exercise and physical rehabilitation.
Collapse
Affiliation(s)
- Anna Palumbo
- Rehabilitation Sciences Program, Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY, 10003, USA.
- Department of Psychology, New York University, New York, NY, 10003, USA.
- Music and Audio Research Lab, New York University, New York, NY, 10003, USA.
- Center for Language, Music, and Emotion (CLaME), New York University, New York, NY, 10003, USA.
| | - Karleigh Groves
- Department of Psychology, New York University, New York, NY, 10003, USA
- Music and Audio Research Lab, New York University, New York, NY, 10003, USA
- Center for Language, Music, and Emotion (CLaME), New York University, New York, NY, 10003, USA
| | - Eva Luna Munoz-Vidal
- Rehabilitation Sciences Program, Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY, 10003, USA
- Department of Psychology, New York University, New York, NY, 10003, USA
- Music and Audio Research Lab, New York University, New York, NY, 10003, USA
- Center for Language, Music, and Emotion (CLaME), New York University, New York, NY, 10003, USA
| | - Alan Turry
- Department of Music and Performing Arts Professions, Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY, 10003, USA
- Nordoff-Robbins Center for Music Therapy, New York University, New York, NY, 10003, USA
| | - Robert Codio
- Music and Audio Research Lab, New York University, New York, NY, 10003, USA
- Nordoff-Robbins Center for Music Therapy, New York University, New York, NY, 10003, USA
| | - Preeti Raghavan
- Department of Physical Medicine and Rehabilitation and Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Heidi Schambra
- New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Gerald T Voelbel
- Rehabilitation Sciences Program, Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY, 10003, USA
- Department of Occupational Therapy, Steinhardt School of Culture, Education, and Human Development, New York University, New York, NY, 10003, USA
- Center of Health and Rehabilitation Research, New York University, New York, NY, 10003, USA
- Department of Rehabilitation Medicine, Rusk Rehabilitation, NYU Langone Health, New York, NY, 10016, USA
| | - Pablo Ripollés
- Department of Psychology, New York University, New York, NY, 10003, USA.
- Music and Audio Research Lab, New York University, New York, NY, 10003, USA.
- Center for Language, Music, and Emotion (CLaME), New York University, New York, NY, 10003, USA.
| |
Collapse
|
5
|
Liu Q, Liu Z, Cheng H, Xu Y, Wang F, Liu L, Hu X. The impact of reminiscent music therapy and robot-assisted rehabilitation on older stroke patients: a protocol for a randomized controlled trial. Front Neurol 2024; 15:1345629. [PMID: 38651105 PMCID: PMC11033498 DOI: 10.3389/fneur.2024.1345629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
Background Stroke is the main disease that causes the burden of neurological disease, leading to upper limb dysfunction and affecting their self-care abilities. Robot-assisted rehabilitation therapy has been gradually used in the rehabilitation of upper limb function after stroke. However, it would be beneficial to explore auxiliary interventions such as reminiscent music therapy, a combination of music and reminiscent, to relieve negative emotions and post-stroke fatigue and improve rehabilitation outcomes. This protocol aims to evaluate the effectiveness of reminiscent music therapy combined with robot-assisted rehabilitation in older stroke patients. Methods This trial is a single-blind, three-arm randomized controlled trial. Older stroke patients with upper limb dysfunction will be recruited. Participants will be randomly assigned to receive usual rehabilitation treatment and care, usual rehabilitation treatment and care plus robot-assisted rehabilitation and reminiscent music therapy, or usual rehabilitation treatment and care plus robot-assisted rehabilitation. Robot-assisted rehabilitation will be conducted by rehabilitation doctors five times per week for 3 weeks. In experimental group 1, a reminiscent song list will be played for patients. The primary outcome is activities of daily living. All outcomes will be evaluated at baseline and in the week immediately post-intervention. Discussion We are conducting the first randomized controlled trial on the effects of reminiscent music therapy combined with robot-assisted rehabilitation in older stroke patients. It is expected that this study, if proven effective in improving the activities of daily living in older stroke patients with upper limb dysfunction, will provide evidence-based rehabilitation strategies for medical staff.Clinical Trial Registration: ChiCTR2200063738.
Collapse
Affiliation(s)
- Qian Liu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, and West China School of Nursing, Sichuan University, Chengdu, China
| | - Zuoyan Liu
- Department of Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Hong Cheng
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Yang Xu
- Department of Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu, China
| | - Fang Wang
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, and West China School of Nursing, Sichuan University, Chengdu, China
| | - Li Liu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, and West China School of Nursing, Sichuan University, Chengdu, China
| | - Xiuying Hu
- Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, West China Hospital, and West China School of Nursing, Sichuan University, Chengdu, China
| |
Collapse
|
6
|
Fitter NT, Mohan M, Preston RC, Johnson MJ, Kuchenbecker KJ. How should robots exercise with people? Robot-mediated exergames win with music, social analogues, and gameplay clarity. Front Robot AI 2024; 10:1155837. [PMID: 38283804 PMCID: PMC10813396 DOI: 10.3389/frobt.2023.1155837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 11/08/2023] [Indexed: 01/30/2024] Open
Abstract
Introduction: The modern worldwide trend toward sedentary behavior comes with significant health risks. An accompanying wave of health technologies has tried to encourage physical activity, but these approaches often yield limited use and retention. Due to their unique ability to serve as both a health-promoting technology and a social peer, we propose robots as a game-changing solution for encouraging physical activity. Methods: This article analyzes the eight exergames we previously created for the Rethink Baxter Research Robot in terms of four key components that are grounded in the video-game literature: repetition, pattern matching, music, and social design. We use these four game facets to assess gameplay data from 40 adult users who each experienced the games in balanced random order. Results: In agreement with prior research, our results show that relevant musical cultural references, recognizable social analogues, and gameplay clarity are good strategies for taking an otherwise highly repetitive physical activity and making it engaging and popular among users. Discussion: Others who study socially assistive robots and rehabilitation robotics can benefit from this work by considering the presented design attributes to generate future hypotheses and by using our eight open-source games to pursue follow-up work on social-physical exercise with robots.
Collapse
Affiliation(s)
- Naomi T. Fitter
- Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, OR, United States
| | - Mayumi Mohan
- Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | - Rhian C. Preston
- Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University, Corvallis, OR, United States
| | - Michelle J. Johnson
- Rehabilitation Robotics Lab, Department of Physical Medicine and Rehabilitation, University of Pennsylvania, Philadelphia, PA, United States
| | | |
Collapse
|
7
|
Mang J, Xu Z, Qi Y, Zhang T. Favoring the cognitive-motor process in the closed-loop of BCI mediated post stroke motor function recovery: challenges and approaches. Front Neurorobot 2023; 17:1271967. [PMID: 37881517 PMCID: PMC10595019 DOI: 10.3389/fnbot.2023.1271967] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 09/08/2023] [Indexed: 10/27/2023] Open
Abstract
The brain-computer interface (BCI)-mediated rehabilitation is emerging as a solution to restore motor skills in paretic patients after stroke. In the human brain, cortical motor neurons not only fire when actions are carried out but are also activated in a wired manner through many cognitive processes related to movement such as imagining, perceiving, and observing the actions. Moreover, the recruitment of motor cortexes can usually be regulated by environmental conditions, forming a closed-loop through neurofeedback. However, this cognitive-motor control loop is often interrupted by the impairment of stroke. The requirement to bridge the stroke-induced gap in the motor control loop is promoting the evolution of the BCI-based motor rehabilitation system and, notably posing many challenges regarding the disease-specific process of post stroke motor function recovery. This review aimed to map the current literature surrounding the new progress in BCI-mediated post stroke motor function recovery involved with cognitive aspect, particularly in how it refired and rewired the neural circuit of motor control through motor learning along with the BCI-centric closed-loop.
Collapse
Affiliation(s)
- Jing Mang
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Zhuo Xu
- Department of Rehabilitation, China-Japan Union Hospital of Jilin University, Changchun, China
| | - YingBin Qi
- Department of Neurology, Jilin Province People's Hospital, Changchun, China
| | - Ting Zhang
- Rehabilitation Therapeutics, School of Nursing, Jilin University, Changchun, China
| |
Collapse
|
8
|
Rusowicz J, Szczepańska-Gieracha J, Kiper P. Neurologic Music Therapy in Geriatric Rehabilitation: A Systematic Review. Healthcare (Basel) 2022; 10:2187. [PMID: 36360527 PMCID: PMC9690210 DOI: 10.3390/healthcare10112187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/12/2022] [Accepted: 10/25/2022] [Indexed: 09/08/2024] Open
Abstract
(1) Introduction: Neurologic music therapy (NMT) is a non-pharmacological approach of interaction through the therapeutic use of music in motor, sensory and cognitive dysfunctions caused by damage or diseases of the nervous system. (2) Objective: This study aimed to critically appraise the available literature on the application of particular NMT techniques in the rehabilitation of geriatric disorders. (3) Methods: PubMed, ScienceDirect and EBSCOhost databases were searched. We considered randomized controlled trials (RCTs) from the last 12 years using at least one of the NMT techniques from the sensorimotor, speech/language and cognitive domains in the therapy of patients over 60 years old and with psychogeriatric disorders. (4) Results: Of the 255 articles, 8 met the inclusion criteria. All papers in the final phase concerned the use of rhythmic auditory stimulation (RAS) (sensorimotor technique) in the rehabilitation of both Parkinson's disease (PD) patients (six studies) and stroke patients (SPs) (two studies). (5) Conclusion: All reports suggest that the RAS technique has a significant effect on the improvement of gait parameters and the balance of PD patients and SPs, as well as the risk of falls in PD patients.
Collapse
Affiliation(s)
- Jagoda Rusowicz
- Department of Physiotherapy, Wroclaw University of Health and Sport Sciences, 51-612 Wrocław, Poland
| | | | - Paweł Kiper
- Healthcare Innovation Technology Lab, IRCCS San Camillo Hospital, 30126 Venezia, Italy
| |
Collapse
|
9
|
De Luca R, Bonanno M, Vermiglio G, Trombetta G, Andidero E, Caminiti A, Pollicino P, Rifici C, Calabrò RS. Robotic Verticalization plus Music Therapy in Chronic Disorders of Consciousness: Promising Results from a Pilot Study. Brain Sci 2022; 12:brainsci12081045. [PMID: 36009107 PMCID: PMC9405818 DOI: 10.3390/brainsci12081045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/03/2022] [Accepted: 08/04/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Music stimulation is considered a valuable form of intervention in disorders of consciousness (DoC); for instance, verticalization may improve motor and cognitive recovery. Our purpose is to investigate the effects of a novel rehabilitative approach combining robotic verticalization training (RVT) with personalized music stimulation in people with DoC. Methods: Sixteen subjects affected by minimally conscious state due to traumatic brain lesions who attended our Intensive Neuro-Rehabilitation Unit were enrolled in this randomized trial. They received either music robotic verticalization (MRV) using the Erigo device plus a personalized music playlist or only RVT without music stimuli. Each treatment was performed 2 times a week for 8 consecutive weeks in addition to standard neurorehabilitation. Results: We found significant improvements in all patients’ outcomes in the experimental group (who received MRV): Coma Recovery Scale-Revised (CRS-R) (p < 0.01), Level of Cognitive Functioning (LCF) (p < 0.02), Functional Independence Measure (FIM) (p < 0.03), Functional Communication Scale (FCS) (p < 0.007), Trunk Control Test (TCT) (p = 0.05). Significant differences between the two groups were also found in the main outcome measure CRS-R (p < 0.01) but not for TCT and FIM. Conclusions: Our study supports the safety and effectiveness of RVT with the Erigo device in chronic MCS, and the achievement of better outcomes when RVT is combined with music stimulation.
Collapse
|
10
|
Şendir M, Kızıl H, Inangil D, Kabuk A, Türkoğlu İ. Effectiveness of haptic technology in teaching urinary catheterization skill: A randomized controlled study. TEACHING AND LEARNING IN NURSING 2022. [DOI: 10.1016/j.teln.2021.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
11
|
Monardo G, Pavese C, Giorgi I, Godi M, Colombo R. Evaluation of Patient Motivation and Satisfaction During Technology-Assisted Rehabilitation: An Experiential Review. Games Health J 2021; 10:13-27. [DOI: 10.1089/g4h.2020.0024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Affiliation(s)
- Giulia Monardo
- Service of Psychology and Istituti Clinici Scientifici Maugeri, IRCCS, Pavia, Italy
| | - Chiara Pavese
- Neurorehabilitation and Spinal Unit, Istituti Clinici Scientifici Maugeri, IRCCS, Pavia, Italy
- Department of Clinical-Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy
| | - Ines Giorgi
- Service of Psychology and Istituti Clinici Scientifici Maugeri, IRCCS, Pavia, Italy
| | - Marco Godi
- Division of Physical Medicine and Rehabilitation and Istituti Clinici Scientifici Maugeri, IRCCS, Veruno, Italy
| | - Roberto Colombo
- Service of Bioengineering, Istituti Clinici Scientifici Maugeri, IRCCS, Veruno, Italy
| |
Collapse
|
12
|
Wuennemann MJ, Mackenzie SW, Lane HP, Peltz AR, Ma X, Gerber LM, Edwards DJ, Kitago T. Dose and staffing comparison study of upper limb device-assisted therapy. NeuroRehabilitation 2020; 46:287-297. [DOI: 10.3233/nre-192993] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Marissa J. Wuennemann
- Human Motor Recovery Laboratory, Burke Neurological Institute, White Plains, NY, USA
| | - Stuart W. Mackenzie
- Human Motor Recovery Laboratory, Burke Neurological Institute, White Plains, NY, USA
| | - Heather Pepper Lane
- Human Motor Recovery Laboratory, Burke Neurological Institute, White Plains, NY, USA
| | - Avrielle R. Peltz
- Human Motor Recovery Laboratory, Burke Neurological Institute, White Plains, NY, USA
| | - Xiaoyue Ma
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY, USA
| | - Linda M. Gerber
- Division of Biostatistics and Epidemiology, Department of Healthcare Policy & Research, Weill Cornell Medicine, New York, NY, USA
| | - Dylan J. Edwards
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA
- Edith Cown University, Joondalup, Australia
| | - Tomoko Kitago
- Human Motor Recovery Laboratory, Burke Neurological Institute, White Plains, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| |
Collapse
|
13
|
Fitter NT, Mohan M, Kuchenbecker KJ, Johnson MJ. Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction. J Neuroeng Rehabil 2020; 17:19. [PMID: 32066467 PMCID: PMC7027056 DOI: 10.1186/s12984-020-0642-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 01/13/2020] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The worldwide population of older adults will soon exceed the capacity of assisted living facilities. Accordingly, we aim to understand whether appropriately designed robots could help older adults stay active at home. METHODS Building on related literature as well as guidance from experts in game design, rehabilitation, and physical and occupational therapy, we developed eight human-robot exercise games for the Baxter Research Robot, six of which involve physical human-robot contact. After extensive iteration, these games were tested in an exploratory user study including 20 younger adult and 20 older adult users. RESULTS Only socially and physically interactive games fell in the highest ranges for pleasantness, enjoyment, engagement, cognitive challenge, and energy level. Our games successfully spanned three different physical, cognitive, and temporal challenge levels. User trust and confidence in Baxter increased significantly between pre- and post-study assessments. Older adults experienced higher exercise, energy, and engagement levels than younger adults, and women rated the robot more highly than men on several survey questions. CONCLUSIONS The results indicate that social-physical exercise with a robot is more pleasant, enjoyable, engaging, cognitively challenging, and energetic than similar interactions that lack physical touch. In addition to this main finding, researchers working in similar areas can build on our design practices, our open-source resources, and the age-group and gender differences that we found.
Collapse
Affiliation(s)
- Naomi T. Fitter
- Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR USA
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA USA
| | - Mayumi Mohan
- Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania, Philadelphia, PA USA
| | - Katherine J. Kuchenbecker
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA USA
- Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
| | - Michelle J. Johnson
- Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA USA
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania, Philadelphia, PA USA
| |
Collapse
|