1
|
Zhao Y, Li L, He X, Yin S, Zhou Y, Marquez-Chin C, Yang W, Rao J, Xiang W, Liu B, Li J. Psychodynamic-based virtual reality cognitive training system with personalized emotional arousal elements for mild cognitive impairment patients. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 241:107779. [PMID: 37660551 DOI: 10.1016/j.cmpb.2023.107779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 08/11/2023] [Accepted: 08/24/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND AND OBJECTIVE Mild cognitive impairment (MCI) is a serious threat to the physical health and quality of life of the elderly, as well as a heavy burden on families and society. The current computer-based rehabilitation training ignores the role of emotions in cognitive impairment rehabilitation, making it difficult to improve patient engagement and efficiency. To address this, a psychodynamics-based cognitive rehabilitation training method with personalized emotional arousal elements was proposed using virtual reality technology. METHODS Our proposed method contains four training tasks, which cover (audiovisual memory, attention & processing, working memory, abstract & Logic, spatial pathfinding) and six positive emotional arousal elements (sensory feedback, achievement system, multiplayer interaction, score comparison, relaxation scenarios, and peaceful videos) to motivate participants to persist during cognitive training continuously and maintain a positive mental attitude toward training. The six emotional arousal elements were divided into two personalized combinations-full combination and half combination-based on the results of the pre-assessment and were dynamically distributed throughout both the training tasks and post-training. RESULTS Fifteen participants with MCI were recruited to complete the proposed experiment and validate the effectiveness of the system. They were first asked to complete two assessments (e.g., the big five scale and the positive and negative affect scale) to investigate their personalities. Based on the results of the assessments, they were provided with a full or half combination of arousal elements in the training tasks and post-training. Finally, the acceptability of the system and task experience were assessed using questionnaires. Notably, there was a significant increase in training scores for participants who completed a six-week training period (66.7%, 33.4%, and 25.0% for attention and processing, working memory, and abstraction and logic, respectively). The results show that positive emotional arousal had a positive effect on the MCI participants. The training tasks and arousal elements can improve cognitive function and enhance the confidence and engagement of participants. There were no significant differences in cognitive domain training scores between the two groups. CONCLUSIONS This personalized cognitive training system has the potential to serve as a convenient solution for complementary treatment of MCI.
Collapse
Affiliation(s)
- Yanfeng Zhao
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Liang Li
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Xu He
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Shuluo Yin
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Yuxuan Zhou
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Cesar Marquez-Chin
- The KITE Research Institute, Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada
| | - Wenjie Yang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiang Rao
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wentao Xiang
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
| | - Bin Liu
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
| | - Jianqing Li
- Jiangsu Province Engineering Research Center of Smart Wearable and Rehabilitation Devices, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China; The State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, China.
| |
Collapse
|
2
|
Tamantini C, Cordella F, Lauretti C, Luzio FSD, Campagnola B, Cricenti L, Bravi M, Bressi F, Draicchio F, Sterzi S, Zollo L. Tailoring Upper-Limb Robot-Aided Orthopedic Rehabilitation on Patients' Psychophysiological State. IEEE Trans Neural Syst Rehabil Eng 2023; 31:3297-3306. [PMID: 37486842 DOI: 10.1109/tnsre.2023.3298381] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
Physical therapy keeps exploiting more and more the capabilities of the robot of adapting the treatments to patients' needs. This paper aims at presenting a psychophysiological-aware control strategy for upper limb robot-aided orthopedic rehabilitation. The main features are the capability of i) generating point-to-point trajectories inside an adaptable workspace, ii) providing assistance in guiding the patients' limbs in accomplishing the assigned task allowing them to freely move with a certain degree of spatial and temporal autonomy and iii) tuning the control parameters according to the patients' kinematics performance and psychophysiological state. The implemented control strategy is validated in a real clinical setting on eight orthopedic patients undergoing twenty daily robot-aided rehabilitation sessions. The psychophysiological-aware control strategy evidenced a positive impact on the enrolled participants since they are effectively conducted in a calmer condition with respect to the patients who did not receive the psychophysiological adaptation. Moreover, clinical performance indicators suggest that the proposed tailored control strategy improves motor functions.
Collapse
|
3
|
Khokale R, S Mathew G, Ahmed S, Maheen S, Fawad M, Bandaru P, Zerin A, Nazir Z, Khawaja I, Sharif I, Abdin ZU, Akbar A. Virtual and Augmented Reality in Post-stroke Rehabilitation: A Narrative Review. Cureus 2023; 15:e37559. [PMID: 37193429 PMCID: PMC10183111 DOI: 10.7759/cureus.37559] [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] [Accepted: 04/14/2023] [Indexed: 05/18/2023] Open
Abstract
Virtual reality (VR) and augmented reality (AR) are noble adjunctive technologies currently being studied for the neuro-rehabilitation of post-stroke patients, potentially enhancing conventional therapy. We explored the literature to find if VR/AR improves neuroplasticity in stroke rehabilitation for a better quality of life. This modality can lay the foundation for telerehabilitation services in remote areas. We analyzed four databases, namely Cochrane Library, PubMed, Google Scholar, and Science Direct, by searching the following keywords: ("Stroke Rehabilitation" [Majr]) AND ("Augmented Reality" [Majr]), Virtual Augmented Reality in Stroke Rehabilitation. All the available open articles were reviewed and outlined. The studies conclude that VR/AR can help in early rehabilitation and yield better results in post-stroke patients in adjunct to conventional therapy. However, due to the limited research on this subject, we cannot conclude that this information is absolute. Moreover, VR/AR was seldom customized according to the needs of stroke survivors, which would have given us the full extent of its application. Around the world, stroke survivors are being studied to verify the accessibility and practicality of these innovative technologies. Observations conclude that further exploration of the extent of the implementations and efficacy of VR and AR, combined with conventional rehabilitation, is fundamental.
Collapse
Affiliation(s)
- Rhutuja Khokale
- Neurology, California Institute of Behavioral Neurosciences & Psychology LLC, Fairfield, USA
| | | | - Somi Ahmed
- Intensive Care Unit, Sumeru City Hospital, Lalitpur, NPL
| | - Sara Maheen
- General Medicine, Odessa National Medical University, Odessa, UKR
| | - Moiz Fawad
- Neurological Surgery, King Saud Medical City, Riyadh, SAU
| | | | - Annu Zerin
- Internal Medicine, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND
| | - Zahra Nazir
- Internal Medicine, Combined Military Hospital, Quetta, PAK
| | - Imran Khawaja
- Internal Medicine, Ayub Medical Institute, Abottabad, PAK
| | - Imtenan Sharif
- Community Medicine, Quetta Institute of Medical Sciences, Quetta, PAK
| | - Zain U Abdin
- Medicine, District Head Quarter Hospital, Faisalabad, PAK
| | - Anum Akbar
- Pediatrics, University of Nebraska Medical Center, Omaha, USA
| |
Collapse
|
4
|
Cisnal A, Moreno-SanJuan V, Fraile JC, Turiel JP, de-la-Fuente E, Sánchez-Brizuela G. Assessment of the Patient’s Emotional Response with the RobHand Rehabilitation Platform: A Case Series Study. J Clin Med 2022; 11:jcm11154442. [PMID: 35956063 PMCID: PMC9369387 DOI: 10.3390/jcm11154442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/27/2022] [Accepted: 07/28/2022] [Indexed: 12/04/2022] Open
Abstract
Cerebrovascular accidents have physical, cognitive and emotional effects. During rehabilitation, the main focus is placed on motor recovery, yet the patient’s emotional state should also be considered. For this reason, validating robotic rehabilitation systems should not only focus on their effectiveness related to the physical recovery but also on the patient’s emotional response. A case series study has been conducted with five stroke patients to assess their emotional response towards therapies using RobHand, a robotic hand rehabilitation platform. Emotional state was evaluated in three dimensions (arousal, valence and dominance) using a computer-based Self-Assessment Manikin (SAM) test. It was verified that the emotions induced by the RobHand platform were successfully distributed in the three-dimensional emotional space. The increase in dominance and the decrease in arousal during sessions reflects that patients had become familiar with the rehabilitation platform, resulting in an increased feeling of control and finding the platform less attractive. The results also reflect that patients found a therapy based on a virtual environment with a realistic scenario more pleasant and attractive.
Collapse
|