Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis

Abstract

Early detection of Rheumatoid Arthritis (RA) and other neurological conditions is vital for effective treatment. Existing methods of detecting RA rely on observation, questionnaires, and physical measurement, each with their own weaknesses. Pharmaceutical medications and procedures aim to reduce the debilitating effect, preventing the progression of the illness and bringing the condition into remission. There is still a great deal of ambiguity around patient diagnosis, as the difficulty of measurement has reduced the importance that joint stiffness plays as an RA identifier. The research areas of medical rehabilitation and clinical assessment indicate high impact applications for wearable sensing devices. As a result, the overall aim of this research is to review current sensor technologies that could be used to measure an individual’s RA severity. Other research teams within RA have previously developed objective measuring devices to assess the physical symptoms of hand steadiness through to joint stiffness. Unfamiliar physical effects of these sensory devices restricted their introduction into clinical practice. This paper provides an updated review among the sensor and glove types proposed in the literature to assist with the diagnosis and rehabilitation activities of RA. Consequently, the main goal of this paper is to review contact systems and to outline their potentialities and limitations. Considerable attention has been paid to gloved based devices as they have been extensively researched for medical practice in recent years. Such technologies are reviewed to determine whether they are suitable measuring tools.

Web-Based Health Monitoring System and Textual Mining

“…In this paper [5] we have found some of the very updated methods discussed with a couple of previously used method combinations and specific explanations. Hand motion is an important component, which plays a key role in hand function assessment in different areas for health treatment.…”

“…Consequently, anthropometric dimensions have significant differences among individuals, including hand size, fingers, length and thickness. Glove-based systems must then be associated with various finger joint locations for various people, which would have an influence on the overall measurements accuracy [5].…”

“…Md Sabbir 1 , Al Bakin Tushar 2 , Feroz Riazul Iqbal 3 , Sourav Gupta Ananda 4 , Naima Hassan 5, Sifat Rahman Ahona 6 1 American International University-Bangladesh, Bangladesh, 17-34852-2@student.aiub.edu 2 American International University-Bangladesh, Bangladesh, 17-35626-3@student.aiub.edu 3 American International University-Bangladesh, Bangladesh, 17-34333-1@student.aiub.edu 4 American International University-Bangladesh, Bangladesh, 17-35771-3@student.aiub.edu 5 East West University, Bangladesh, naima.hassan016@gmail.com 6 American International University-Bangladesh, Bangladesh, ahona@aiub.edu Because of this, they are dying in many cases due to not getting proper treatment at the right time.…”

Digital Approaches for a Reliable Early Diagnosis of Psoriatic Arthritis

“…The body-worn sensors generate data that can accurately reflect disease activity, flareups, and the degree of functional disability after a therapeutic intervention ( 45 ). Results can then be visualized to therefore provide individual support and recommendations and to improve therapy management and outcomes ( 46 ). Imaging is also an important factor for the detection of disease activity.…”

Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review

“…A great number of technology-aided approaches for upper limb assessment have been reported in literature in recent years, despite very few of them have been used for hand functional assessment issues. Reviews exist presenting overviews of quantitative assessment instruments applied to a specific cohort of subjects carrying upper limb disorders [ 9 , 10 , 11 , 12 , 13 ]. Nevertheless, to the best of the authors’ knowledge, no published work provides a comprehensive state of the art about quantitative methods based on emerging technologies that focus on hand functional assessment.…”