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Yen HY, Huang CW, Chiu HL, Jin G. The Effect of Social Robots on Depression and Loneliness for Older Residents in Long-Term Care Facilities: A Meta-Analysis of Randomized Controlled Trials. J Am Med Dir Assoc 2024:104979. [PMID: 38614134 DOI: 10.1016/j.jamda.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/15/2024]
Abstract
OBJECTIVES Depression and loneliness are challenges facing older residents living in long-term care facilities. Social robots might be a solution as nonpharmacologic interventions. The purpose of this study was to explore the effects of concrete forms of social robots on depression and loneliness in older residents in long-term care facilities by a systematic review and meta-analysis of randomized controlled trials. DESIGN This is a systematic review and meta-analysis. SETTING AND PARTICIPANTS Older residents in long-term care facilities. METHODS Six electronic databases of PubMed, Embase, Scopus, Web of Science, MEDLINE, and CINAHL plus were searched in August 2023. Random effect models of meta-analyses, subgroup analyses, and meta-regressions were performed for statistical analyses. RESULTS After evaluation, 8 studies were selected for both qualitative and quantitative synthesis. Social robot interventions had significant positive effects on decreasing depression and loneliness with large effect sizes. Group-based robot activities had a better effect on improving depression than individual-based robot activities. Longer durations of interventions produced significantly more improvement in depression. CONCLUSION AND IMPLICATION Social robots with physical manifestation provide the opportunity for older adults' social engagement and interactions with robots and others. Social robot interventions are recommended for older residents in long-term care facilities to promote psychosocial well-being in daily care routines.
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Affiliation(s)
- Hsin-Yen Yen
- School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan; International PhD Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan
| | - Chih Wei Huang
- International Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Huei-Ling Chiu
- School of Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan; International PhD Program in Gerontology and Long-Term Care, College of Nursing, Taipei Medical University, Taipei, Taiwan.
| | - Grace Jin
- Stanford University School of Medicine, Stanford, CA, USA
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Alhaddad AY, So WC, Cabibihan JJ, Bonarini A. Editorial: Technologies to support the diagnosis and therapy of individuals with autism. Front Psychiatry 2023; 14:1304178. [PMID: 38025475 PMCID: PMC10646608 DOI: 10.3389/fpsyt.2023.1304178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Affiliation(s)
- Ahmad Yaser Alhaddad
- Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha, Qatar
| | - Wing-Chee So
- Department of Educational Psychology, The Chinese University of Hong Kong Shatin, New Territories, Hong Kong
| | - John-John Cabibihan
- Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha, Qatar
| | - Andrea Bonarini
- Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Italy
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Said RR, Heyat MBB, Song K, Tian C, Wu Z. A Systematic Review of Virtual Reality and Robot Therapy as Recent Rehabilitation Technologies Using EEG-Brain-Computer Interface Based on Movement-Related Cortical Potentials. Biosensors (Basel) 2022; 12:bios12121134. [PMID: 36551100 PMCID: PMC9776155 DOI: 10.3390/bios12121134] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/24/2022] [Accepted: 12/02/2022] [Indexed: 06/01/2023]
Abstract
To enhance the treatment of motor function impairment, patients' brain signals for self-control as an external tool may be an extraordinarily hopeful option. For the past 10 years, researchers and clinicians in the brain-computer interface (BCI) field have been using movement-related cortical potential (MRCP) as a control signal in neurorehabilitation applications to induce plasticity by monitoring the intention of action and feedback. Here, we reviewed the research on robot therapy (RT) and virtual reality (VR)-MRCP-based BCI rehabilitation technologies as recent advancements in human healthcare. A list of 18 full-text studies suitable for qualitative review out of 322 articles published between 2000 and 2022 was identified based on inclusion and exclusion criteria. We used PRISMA guidelines for the systematic review, while the PEDro scale was used for quality evaluation. Bibliometric analysis was conducted using the VOSviewer software to identify the relationship and trends of key items. In this review, 4 studies used VR-MRCP, while 14 used RT-MRCP-based BCI neurorehabilitation approaches. The total number of subjects in all identified studies was 107, whereby 4.375 ± 6.3627 were patient subjects and 6.5455 ± 3.0855 were healthy subjects. The type of electrodes, the epoch, classifiers, and the performance information that are being used in the RT- and VR-MRCP-based BCI rehabilitation application are provided in this review. Furthermore, this review also describes the challenges facing this field, solutions, and future directions of these smart human health rehabilitation technologies. By key items relationship and trends analysis, we found that motor control, rehabilitation, and upper limb are important key items in the MRCP-based BCI field. Despite the potential of these rehabilitation technologies, there is a great scarcity of literature related to RT and VR-MRCP-based BCI. However, the information on these rehabilitation methods can be beneficial in developing RT and VR-MRCP-based BCI rehabilitation devices to induce brain plasticity and restore motor impairment. Therefore, this review will provide the basis and references of the MRCP-based BCI used in rehabilitation applications for further clinical and research development.
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Affiliation(s)
- Ramadhan Rashid Said
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Md Belal Bin Heyat
- IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
| | - Keer Song
- Franklin College of Arts and Science, University of Georgia, Athens, GA 30602, USA
| | - Chao Tian
- Department of Women’s Health, Sichuan Cancer Hospital, Chengdu 610044, China
| | - Zhe Wu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
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Owolabi MO, Platz T, Good D, Dobkin BH, Ekechukwu END, Li L. Editorial: Translating Innovations in Stroke Rehabilitation to Improve Recovery and Quality of Life Across the Globe. Front Neurol 2020; 11:630830. [PMID: 33381081 PMCID: PMC7767826 DOI: 10.3389/fneur.2020.630830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 11/25/2020] [Indexed: 11/13/2022] Open
Affiliation(s)
- Mayowa O. Owolabi
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- University College Hospital Ibadan, Ibadan, Nigeria
- Blossom Specialist Medical Center, Ibadan, Nigeria
| | - Thomas Platz
- BDH-Klinik Greifswald, Institute for Neurorehabilitation and Evidence-Based Practice, University of Greifswald, Greifswald, Germany
- Neurorehabilitation Research Group, Universitätsmedizin Greifswald, Greifswald, Germany
| | - David Good
- Department of Neurology, Pennsylvania State University, Philadelphia, PA, United States
| | - Bruce H. Dobkin
- Neurologic Rehabilitation and Research Program, Susan and David Wilstein Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Echezona N. D. Ekechukwu
- Department of Medical Rehabilitation, Faculty of Health Sciences, College of Medicine, University of Nigeria, Enugu, Nigeria
- Environmental and Occupational Health Unit, College of Medicine, Institute of Public Health, University of Nigeria, Enugu, Nigeria
- LANCET Physiotherapy, Wellness and Research Centre, Enugu, Nigeria
| | - Leonard Li
- Division of Rehabilitation, Department of Medicine of Tung Wah Hospital Hong Kong, Hong Kong, Hong Kong
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Tamburin S, Smania N, Saltuari L, Hoemberg V, Sandrini G. Editorial: New Advances in Neurorehabilitation. Front Neurol 2019; 10:1090. [PMID: 31681155 PMCID: PMC6812690 DOI: 10.3389/fneur.2019.01090] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 09/30/2019] [Indexed: 12/02/2022] Open
Affiliation(s)
- Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Nicola Smania
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Neuromotor and Cognitive Rehabilitation Research Centre, University of Verona, Verona, Italy
| | - Leopold Saltuari
- Research Unit for Neurorehabilitation South Tyrol, Bolzano, Italy.,Department of Neurology, State Hospital Hochzirl, Zirl, Austria
| | - Volker Hoemberg
- Department of Neurology, Stiftung Rehabilitation Heidelberg Gesundheitszentrum Bad Wimpfen GmbH, Bad Wimpfen, Germany
| | - Giorgio Sandrini
- Neurorehabilitation Unit, Istituto di Ricovero e Cura a Carattere Scientifico C. Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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Daunoraviciene K, Adomaviciene A, Grigonyte A, Griškevičius J, Juocevicius A. Effects of robot-assisted training on upper limb functional recovery during the rehabilitation of poststroke patients. Technol Health Care 2018; 26:533-542. [PMID: 29843276 DOI: 10.3233/thc-182500] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The study aims to determine the effectiveness of robot-assisted training in the recovery of stroke-affected arms using an exoskeleton robot Armeo Spring. OBJECTIVE To identify the effect of robot training on functional recovery of the arm. METHODS A total of 34 stroke patients were divided into either an experimental group (EG; n= 17) or a control group (n= 17). EG was also trained to use the Armeo Spring during occupational therapy. Both groups were clinically assessed before and after treatment. Statistical comparison methods (i.e. one-tailed t-tests for differences between two independent means and the simplest test) were conducted to compare motor recovery using robot-assisted training or conventional therapy. RESULTS Patients assigned to the EG showed a statistically significant improvement in upper extremity motor function when compared to the CG by FIM (P< 0.05) and ACER (P< 0.05). The calculated treatment effect in the EG and CG was meaningful for shoulder and elbow kinematic parameters. CONCLUSIONS The findings show the benefits of robot therapy in two areas of functional recovery. Task-oriented robotic training in rehabilitation setting facilitates recovery not only of the motor function of the paretic arm but also of the cognitive abilities in stroke patients.
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Affiliation(s)
- Kristina Daunoraviciene
- Department of Biomechanical Engineering, Vilnius Gediminas Technical University, Vilnius, Lithuania
| | - Ausra Adomaviciene
- Department of Rehabilitation, Physical and Sports Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Agne Grigonyte
- Department of Rehabilitation, Physical and Sports Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Julius Griškevičius
- Department of Biomechanical Engineering, Vilnius Gediminas Technical University, Vilnius, Lithuania
| | - Alvydas Juocevicius
- Department of Rehabilitation, Physical and Sports Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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Johnson MJ, Rai R, Barathi S, Mendonca R, Bustamante-Valles K. Affordable stroke therapy in high-, low- and middle-income countries: From Theradrive to Rehab CARES, a compact robot gym. J Rehabil Assist Technol Eng 2017; 4:2055668317708732. [PMID: 31186929 PMCID: PMC6453086 DOI: 10.1177/2055668317708732] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Accepted: 04/12/2017] [Indexed: 11/24/2022] Open
Abstract
Affordable technology-assisted stroke rehabilitation approaches can improve
access to rehabilitation for low-resource environments characterized by the
limited availability of rehabilitation experts and poor rehabilitation
infrastructure. This paper describes the evolution of an approach to the
implementation of affordable, technology-assisted stroke rehabilitation which
relies on low-cost mechatronic/robot devices integrated with off-the-shelf or
custom games. Important lessons learned from the evolution and use of Theradrive
in the USA and in Mexico are briefly described. We present how a stronger and
more compact version of the Theradrive is leveraged in the development of a new
low-cost, all-in-one robot gym with four exercise stations for upper and lower
limb therapy called Rehab Community-based Affordable Robot Exercise System
(Rehab C.A.R.E.S). Three of the exercise stations are designed to accommodate
versions of the 1 DOF haptic Theradrive with different custom handles or
off-the-shelf commercial motion machine. The fourth station leverages a unique
configuration of Wii-boards. Overall, results from testing versions of
Theradrive in USA and Mexico in a robot gym suggest that the resulting
presentation of the Rehab C.A.R.E.S robot gym can be deployed as an affordable
computer/robot-assisted solution for stroke rehabilitation in developed and
developing countries.
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Affiliation(s)
- Michelle Jillian Johnson
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania, PA, USA.,Department of Biomedical Engineering, University of Pennsylvania, PA, USA.,General Robotics Automation Sensing and Perception (GRASP), University of Pennsylvania, PA, USA
| | - Roshan Rai
- Department of Physical Medicine and Rehabilitation, University of Pennsylvania, PA, USA.,General Robotics Automation Sensing and Perception (GRASP), University of Pennsylvania, PA, USA
| | - Sarath Barathi
- General Robotics Automation Sensing and Perception (GRASP), University of Pennsylvania, PA, USA
| | | | - Karla Bustamante-Valles
- Chihuahua, Mexico instead of Monterrey, Mexico.,Orthopaedic and Rehabilitation Engineering Center, Marquette University, Milwaukee, WI, USA
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De Santis D, Zenzeri J, Casadio M, Masia L, Riva A, Morasso P, Squeri V. Robot-assisted training of the kinesthetic sense: enhancing proprioception after stroke. Front Hum Neurosci 2015; 8:1037. [PMID: 25601833 PMCID: PMC4283673 DOI: 10.3389/fnhum.2014.01037] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Accepted: 12/10/2014] [Indexed: 11/13/2022] Open
Abstract
Proprioception has a crucial role in promoting or hindering motor learning. In particular, an intact position sense strongly correlates with the chances of recovery after stroke. A great majority of neurological patients present both motor dysfunctions and impairments in kinesthesia, but traditional robot and virtual reality training techniques focus either in recovering motor functions or in assessing proprioceptive deficits. An open challenge is to implement effective and reliable tests and training protocols for proprioception that go beyond the mere position sense evaluation and exploit the intrinsic bidirectionality of the kinesthetic sense, which refers to both sense of position and sense of movement. Modulated haptic interaction has a leading role in promoting sensorimotor integration, and it is a natural way to enhance volitional effort. Therefore, we designed a preliminary clinical study to test a new proprioception-based motor training technique for augmenting kinesthetic awareness via haptic feedback. The feedback was provided by a robotic manipulandum and the test involved seven chronic hemiparetic subjects over 3 weeks. The protocol included evaluation sessions that consisted of a psychometric estimate of the subject's kinesthetic sensation, and training sessions, in which the subject executed planar reaching movements in the absence of vision and under a minimally assistive haptic guidance made by sequences of graded force pulses. The bidirectional haptic interaction between the subject and the robot was optimally adapted to each participant in order to achieve a uniform task difficulty over the workspace. All the subjects consistently improved in the perceptual scores as a consequence of training. Moreover, they could minimize the level of haptic guidance in time. Results suggest that the proposed method is effective in enhancing kinesthetic acuity, but the level of impairment may affect the ability of subjects to retain their improvement in time.
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Affiliation(s)
- Dalia De Santis
- Motor Learning and Robotic Rehabilitation Laboratory, Department of Robotics, Brain and Cognitive Sciences (RBCS), Istituto Italiano di Tecnologia , Genova , Italy
| | - Jacopo Zenzeri
- Motor Learning and Robotic Rehabilitation Laboratory, Department of Robotics, Brain and Cognitive Sciences (RBCS), Istituto Italiano di Tecnologia , Genova , Italy
| | - Maura Casadio
- Motor Learning and Robotic Rehabilitation Laboratory, Department of Robotics, Brain and Cognitive Sciences (RBCS), Istituto Italiano di Tecnologia , Genova , Italy ; NeuroLab, Department of Informatics, Bioengineering, Robotics and Systems (DIBRIS), University of Genova , Genova , Italy
| | - Lorenzo Masia
- Motor Learning and Robotic Rehabilitation Laboratory, Department of Robotics, Brain and Cognitive Sciences (RBCS), Istituto Italiano di Tecnologia , Genova , Italy ; Assistive Robotics and Interactive Ergonomic Systems Laboratory, Division of Mechatronics and Design, Robotic Research Center, School of Mechanical and Aerospace Engineering (MAE), Nanyang Technological University (NTU) , Singapore
| | - Assunta Riva
- SI4LIFE - Innovation Hub for Elderly and Disabled People , Genova , Italy
| | - Pietro Morasso
- Motor Learning and Robotic Rehabilitation Laboratory, Department of Robotics, Brain and Cognitive Sciences (RBCS), Istituto Italiano di Tecnologia , Genova , Italy ; NeuroLab, Department of Informatics, Bioengineering, Robotics and Systems (DIBRIS), University of Genova , Genova , Italy
| | - Valentina Squeri
- Motor Learning and Robotic Rehabilitation Laboratory, Department of Robotics, Brain and Cognitive Sciences (RBCS), Istituto Italiano di Tecnologia , Genova , Italy
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Piovesan D, Casadio M, Mussa-Ivaldi FA, Morasso PG. Multijoint arm stiffness during movements following stroke: implications for robot therapy. IEEE Int Conf Rehabil Robot 2011; 2011:5975372. [PMID: 22275576 PMCID: PMC4532671 DOI: 10.1109/icorr.2011.5975372] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Impaired arm movements in stroke appear as a set of stereotypical kinematic patterns, characterized by abnormal joint coupling, which have a direct consequence on arm mechanics and can be quantified by the net arm stiffness at the hand. The current available measures of arm stiffness during functional tasks have limited clinical use, since they require several repetitions of the same test movement in many directions. Such procedure is difficult to obtain in stroke survivors who have lower fatigue threshold and increased variability compared to unimpaired individuals. The present study proposes a novel, fast quantitative measure of arm stiffness during movements by means of a Time-Frequency technique and the use of a reassigned spectrogram, applied on a trial-by-trial basis with a single perturbation. We tested the technique feasibility during robot mediated therapy, where a robot helped stroke survivors to regain arm mobility by providing assistive forces during a hitting task to 13 targets covering the entire reachable workspace. The endpoint stiffness of the paretic arm was estimated at the end of each hitting movements by suddenly switching of the assistive forces and observing the ensuing recoil movements. In addition, we considered how assistive forces influence stiffness. This method will provide therapists with improved tools to target the treatment to the individual's specific impairment and to verify the effects of the proposed exercises.
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Affiliation(s)
- D Piovesan
- Sensory Motor Performance Program, Rehab. Institute of Chicago/Northwestern University, Chicago, Illinois, USA.
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