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Muthu P, Tan Y, Latha S, Dhanalakshmi S, Lai KW, Wu X. Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals. Front Public Health 2023; 10:1030656. [PMID: 36699937 PMCID: PMC9869388 DOI: 10.3389/fpubh.2022.1030656] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/06/2022] [Indexed: 01/12/2023] Open
Abstract
Assistive technology for the differently abled and older adults has made remarkable achievements in providing rehabilitative, adaptive, and assistive devices. It provides huge assistance for people with physical impairments to lead a better self-reliant daily life, in terms of mobility, education, rehabilitation, etc. This technology ranges from simple hand-held devices to complex robotic accessories which promote the individual's independence. This study aimed at identifying the assistance required by differently-abled individuals, and the solutions proposed by different researchers, and reviewed their merits and demerits. It provides a detailed discussion on the state of art assistive technologies, their applications, challenges, types, and their usage for rehabilitation. The study also identifies different unexplored research areas related to assistive technology that can improve the daily life of individuals and advance the field. Despite their high usage, assistive technologies have some limitations which have been briefly described in the study. This review, therefore, can help understand the utilization, and pros and cons of assistive devices in rehabilitation engineering and assistive technologies.
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Affiliation(s)
- P. Muthu
- Department of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India
| | - Yongqi Tan
- The 71st Group Military Hospital of the Chinese People's Liberation Army, Xuzhou, Jiangsu, China
| | - S. Latha
- Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India
| | - Samiappan Dhanalakshmi
- Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India,*Correspondence: Samiappan Dhanalakshmi ✉
| | - Khin Wee Lai
- Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia,Khin Wee Lai ✉
| | - Xiang Wu
- School of Medical Information Engineering, Xuzhou Medical University, Xuzhou, China,Xiang Wu ✉
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Zhang Y, Wang Z, Ge Q, Wang Z, Zhou X, Han S, Guo W, Zhang Y, Wang D. Soft Exoskeleton Mimics Human Cough for Assisting the Expectoration Capability of SCI Patients. IEEE Trans Neural Syst Rehabil Eng 2022; 30:936-946. [PMID: 35344494 DOI: 10.1109/tnsre.2022.3162578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE This paper describes the design of a bionic soft exoskeleton and demonstrates its feasibility for assisting the expectoration function rehabilitation of patients with spinal cord injury (SCI). METHODS A human-robot coupling respiratory mechanic model is established to mimic human cough, and a synergic inspire-expire assistance strategy is proposed to maximize the peak expiratory flow (PEF), the key metric for promoting cough intensity. The negative pressure module of the exoskeleton is a soft "iron lung" using layer-jamming actuation. It assists inspiration by increasing insufflation to mimic diaphragm and intercostal muscle contraction. The positive pressure module exploits soft origami actuators for assistive expiration; it pressures human abdomen and bionically "pushes" the diaphragm upward. RESULTS The maximum increase in PEF ratios for mannequins, healthy participants, and patients with SCI with robotic assistance were 57.67%, 278.10%, and 124.47%, respectively. The soft exoskeleton assisted one tetraplegic SCI patient to cough up phlegm successfully. CONCLUSION The experimental results suggest that the proposed soft exoskeleton is promising for assisting the expectoration ability of SCI patients in everyday life scenarios. SIGNIFICANCE The proposed soft exoskeleton is promising for advancing the application field of rehabilitation exoskeletons from motor functions to respiratory functions.
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Arzi A, Rozenkrantz L, Gorodisky L, Rozenkrantz D, Holtzman Y, Ravia A, Bekinschtein TA, Galperin T, Krimchansky BZ, Cohen G, Oksamitni A, Aidinoff E, Sacher Y, Sobel N. Olfactory sniffing signals consciousness in unresponsive patients with brain injuries. Nature 2020; 581:428-433. [PMID: 32461641 DOI: 10.1038/s41586-020-2245-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 02/26/2020] [Indexed: 11/09/2022]
Abstract
After severe brain injury, it can be difficult to determine the state of consciousness of a patient, to determine whether the patient is unresponsive or perhaps minimally conscious1, and to predict whether they will recover. These diagnoses and prognoses are crucial, as they determine therapeutic strategies such as pain management, and can underlie end-of-life decisions2,3. Nevertheless, there is an error rate of up to 40% in determining the state of consciousness in patients with brain injuries4,5. Olfaction relies on brain structures that are involved in the basic mechanisms of arousal6, and we therefore hypothesized that it may serve as a biomarker for consciousness7. Here we use a non-verbal non-task-dependent measure known as the sniff response8-11 to determine consciousness in patients with brain injuries. By measuring odorant-dependent sniffing, we gain a sensitive measure of olfactory function10-15. We measured the sniff response repeatedly over time in patients with severe brain injuries and found that sniff responses significantly discriminated between unresponsive and minimally conscious states at the group level. Notably, at the single-patient level, if an unresponsive patient had a sniff response, this assured future regaining of consciousness. In addition, olfactory sniff responses were associated with long-term survival rates. These results highlight the importance of olfaction in human brain function, and provide an accessible tool that signals consciousness and recovery in patients with brain injuries.
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Affiliation(s)
- Anat Arzi
- Department of Psychology, University of Cambridge, Cambridge, UK. .,Azrieli Center for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel. .,Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.
| | - Liron Rozenkrantz
- Azrieli Center for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel.,Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | - Lior Gorodisky
- Azrieli Center for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel.,Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Yael Holtzman
- Azrieli Center for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel.,Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | - Aharon Ravia
- Azrieli Center for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel.,Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | | | | | | | - Gal Cohen
- Loewenstein Hospital Rehabilitation Center, Raanana, Israel
| | - Anna Oksamitni
- Loewenstein Hospital Rehabilitation Center, Raanana, Israel
| | - Elena Aidinoff
- Loewenstein Hospital Rehabilitation Center, Raanana, Israel
| | - Yaron Sacher
- Loewenstein Hospital Rehabilitation Center, Raanana, Israel.,Sackler Medical Faculty, Tel-Aviv University, Tel Aviv, Israel
| | - Noam Sobel
- Azrieli Center for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, Israel. .,Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.
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Dong W, Wang Y, Zhou Y, Bai Y, Ju Z, Guo J, Gu G, Bai K, Ouyang G, Chen S, Zhang Q, Huang Y. Soft human–machine interfaces: design, sensing and stimulation. INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS 2018. [DOI: 10.1007/s41315-018-0060-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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