Fuzzy logic-based mobile computing system for hand rehabilitation after neurological injury

Chiu, Yu Hsien; Chen, Tien Wen; Chen, Yenming J.; Su, Ching I.; Hwang, Kao Shing; Ho, Wen-Hsien

doi:10.3233/thc-171403

Cited by 8 publications

(7 citation statements)

References 18 publications

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“…Many prior works have been proposed to address this problem, such as Alamri et al (), Karime et al (), and Chiu et al (). All of them are differentiated, among other things, by the use of an intelligent module for the treatment of the information captured.…”

Section: Discussionmentioning

confidence: 99%

“…They propose a fuzzy‐logic adaptation engine to support decision making relative to the appropriate intensity level of a rehabilitation task considering the task angle (different tilting positions of the wrist), the velocity, and the jerkiness of the wrist. In the work proposed by Chiu et al (), an Android application is implemented to (a) collect quantitative data of hand movements to monitor treatment progress, (b) collect statistical data to assess self‐rehabilitation progress, (c) motivate the use of an assistive system for hand rehabilitation by using virtual reality and game‐based modalities, and (d) provide automatic feedback on hand rehabilitation progress by means of a computer‐aided decision making mechanism. Zhang, Fang, and Gu () present an upper‐extremity motion evaluation system based on fuzzy logic to provide a reliable solution for objective motion quality assessment.…”

Section: Related Workmentioning

confidence: 99%

“…The elderly are frequent users of this service as, unfortunately, they are prone to accidents due to their mobility problems, degenerative illness such as Alzheimer, or depression due to isolation. According to Chiu et al (), traditional rehabilitation treatments are usually administered on a one‐to‐one basis, which makes them difficult to scale due to the high cost and the dependency on human resources. Besides, traditional rehabilitation treatments required the presence of the elderly in the clinic, causing a waste of money and time for the elderly.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy‐description logic for supporting the rehabilitation of the elderly

et al. 2019

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According to the latest statistics, the proportion of the elderly (+65) is increasing and is expected to double within the European Union in a period of 50 years. This ageing is due to the improvement of quality of life and advances in medicine in the last decades. Gerontechnology is receiving a great deal of attention as a way of providing the elderly with sustainable products, environments, and services combining gerontology and technology. One of the most important aspects to consider by gerontechnology is the mobility/rehabilitation technologies, because there is an important relationship between mobility and the elderly's quality of life. Telerehabilitation systems have emerged to allow the elderly to perform their rehabilitation exercises remotely. However, in many cases, the proposed systems assist neither the patients nor the experts about the progress of the rehabilitation. To address this problem, we propose in this paper, a fuzzy‐semantic system for evaluating patient's physical state during the rehabilitation process based on well‐known standard for patients' evaluation. Moreover, a tool called FINE has been developed that facilitates the evaluation be accomplished in a semi‐automatic way first asking patients to carry out a set of standard tests and then inferencing their state by means of a fuzzy‐semantic approach using the data captured during the rehabilitation tasks.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy‐description logic for supporting the rehabilitation of the elderly

et al. 2019

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“…where the use of Tablets or iPods has been complemented by peripherals, where the combination of motion sensors with Bluetooth communication allows capturing movement data and grip strength as the user draws a certain pattern or template on the Tablet [63]. The system compares the performance of the user with that of the template, and based on this, the execution score is determined.…”

Section: Tablets Haptics and Sensitive Devicesmentioning

confidence: 99%

Techniques and methods for monitoring the evolution of upper limb fine motor skills

Villamarín

Rodas

et al. 2019

ing. Solidar

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Introduction: This review article is the product of research on the methods, techniques and devices used in the measurement of fine motor skills of upper limbs and its respective evolution, developed at Universidad del Cauca in 2018. Problem: Objective measurement of the evolution of upper limb motor skills in the rehabilitation processes. Objective: To identify the conventional techniques and electronic devices used in the measurement of the evolution of upper limb motor ability. Methodology: Four scientific databases were reviewed in addition to the Google Scholar search engine. The keywords used for the search were: "fine motor skills", "hand measurement", "hand rehabilitation"and "hand function", among others. Results: Approximately 3840 articles related to the subject were found. When applying the exclusion criteria, the article number to be revised was reduced to 63, which were analyzed in the present review. Conclusions: The tools applied by health professionals are convenient due to their rapid execution and easy access, however they can be subject to human error since they depend on the experience of the user. Electronic systems present objective measurements, however, their complexity and cost are high. Originality: This work presents information on the therapeutic techniques and technological devices used, in certain pathologies, for the evaluation of upper limb motor ability. Limitations: Not all articles analyzed have a detailed description of the people in which the studies were conducted.

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“…Some of these advantages are adaptation, personalization, hygiene, materials used, or environmental impact, among others. The incursion of these new 3D techniques in medical processes allows to include smart systems to analyze different states of the medical evolution process [ 21 ]. This study proposes to combine 3D techniques with electronic systems to develop a new era of splints that have not been achieved before.…”

Section: Introductionmentioning

confidence: 99%

Development of a Smart Splint to Monitor Different Parameters during the Treatment Process

Burgo

Haro

D’Amato

et al. 2020

Sensors

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For certain musculoskeletal complex rupture injuries, the only treatment available is the use of immobilization splints. This type of treatment usually causes discomfort and certain setbacks in patients. In addition, other complications are usually generated at the vascular, muscular, or articular level. Currently, there is a really possible alternative that would solve these problems and even allows a faster and better recovery. This is possible thanks to the application of engineering on additive manufacturing techniques and the use of biocompatible materials available in the market. This study proposes the use of these materials and techniques, including sensor integration inside the splints. The main parameters considered to be studied are pressure, humidity, and temperature. These aspects are combined and analyzed to determine any kind of unexpected evolution of the treatment. This way, it will be possible to monitor some signals that would be studied to detect problems that are associated to the very initial stage of the treatment. The goal of this study is to generate a smart splint by using biomaterials and engineering techniques based on the advanced manufacturing and sensor system, for clinical purposes. The results show that the prototype of the smart splint allows to get data when it is placed over the arm of a patient. Two temperatures are read during the treatment: in contact with the skin and between skin and splint. The humidity variations due to sweat inside the splint are also read by a humidity sensor. A pressure sensor detects slight changes of pressure inside the splint. In addition, an infrared sensor has been included as a presence detector.

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Fuzzy logic-based mobile computing system for hand rehabilitation after neurological injury

Abstract: The proposed virtual reality system can be customized for specific therapeutic purposes. Commercial development of the system could immediately provide stroke patients with an effective in-home rehabilitation therapy for improving hand problems.

Cited by 8 publications

References 18 publications

Fuzzy‐description logic for supporting the rehabilitation of the elderly

Fuzzy‐description logic for supporting the rehabilitation of the elderly

Techniques and methods for monitoring the evolution of upper limb fine motor skills

Development of a Smart Splint to Monitor Different Parameters during the Treatment Process

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