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

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.

[1]  Osman Hasan,et al.  Wearable technologies for hand joints monitoring for rehabilitation: A survey , 2018, Microelectron. J..

[2]  D. Stott,et al.  Inter-rater and Intra-rater Reliability when Measuring Interphalangeal Joints: Comparison between three hand-held goniometersSource of Funds , 2003 .

[3]  G. Saggio,et al.  Shaping Resistive Bend Sensors to Enhance Readout Linearity , 2012 .

[4]  P. Meyrueis,et al.  Stress Sensing by an Optical Fiber Sensor: Method and Process for the Characterization of the Sensor Response Depending on Several Designs , 2013 .

[5]  Sasan Naseh,et al.  Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges , 2019, Sensors.

[6]  Lucia Rita Quitadamo,et al.  Sensory-Glove-Based Open Surgery Skill Evaluation , 2018, IEEE Transactions on Human-Machine Systems.

[7]  Alessandro Tognetti,et al.  Exploiting Wearable Goniometer Technology for Motion Sensing Gloves , 2014, IEEE Journal of Biomedical and Health Informatics.

[8]  G. Kitas,et al.  Physical activity, exercise and rheumatoid arthritis: Effectiveness, mechanisms and implementation. , 2018, Best practice & research. Clinical rheumatology.

[9]  Salvatore Sessa,et al.  Towards Miniaturization of a MEMS-Based Wearable Motion Capture System , 2011, IEEE Transactions on Industrial Electronics.

[10]  Anne Bruton,et al.  A study to compare the reliability of composite finger flexion with goniometry for measurement of range of motion in the hand , 2002, Clinical rehabilitation.

[11]  Qi Wang,et al.  Review of optical fiber bending/curvature sensor , 2018, Measurement.

[12]  Michael Schumacher,et al.  Sensor Monitoring of Physical Activity to Improve Glucose Management in Diabetic Patients: A Review , 2016, Sensors.

[13]  H. Mäkinen,et al.  Is DAS28 an appropriate tool to assess remission in rheumatoid arthritis? , 2005, Annals of the rheumatic diseases.

[14]  Junghsi Lee,et al.  Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation , 2018, Sensors.

[15]  Brendan O'Flynn,et al.  Novel Smart Glove Technology as a Biomechanical Monitoring Tool , 2015 .

[16]  Ben Schram,et al.  Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review , 2019, PloS one.

[17]  Hieu Minh Trinh,et al.  A Non-Contact Measurement System for the Range of Motion of the Hand , 2015, Sensors.

[18]  S. Geraci,et al.  Rheumatoid arthritis: diagnosis and management. , 2007, The American journal of medicine.

[19]  Kevin Curran,et al.  Reliability and Validity of Clinically Accessible Smart Glove Technologies to Measure Joint Range of Motion , 2021, Sensors.

[20]  Giorgio De Pasquale,et al.  Glove-based systems for medical applications: review of recent advancements , 2018, Journal of Textile Engineering & Fashion Technology.

[21]  Hyosang Moon CAPTURING HUMAN HAND KINEMATICS FOR OBJECT GRASPING AND MANIPULATION , 2013 .

[22]  Bor-Shing Lin,et al.  Novel Assembled Sensorized Glove Platform for Comprehensive Hand Function Assessment by Using Inertial Sensors and Force Sensing Resistors , 2020, IEEE Sensors Journal.

[23]  A. Timmermans,et al.  Interactive wearable systems for upper body rehabilitation: a systematic review , 2017, Journal of NeuroEngineering and Rehabilitation.

[24]  P. Fergus,et al.  A Wireless Home and Body Sensor Network Platform for the Early Detection of Arthritis , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

[25]  M. Sharif,et al.  THU0617 WRIST ULTRASOUND (US) PATHOLOGY IN EARLY RHEUMATOID ARTHRITIS (RA); OBSERVATIONS FROM AN EARLY INFLAMMATORY ARTHRITIS (EIA) DIAGNOSTIC SERVICE , 2019, Poster Presentations.

[26]  Myung-Chul Jung,et al.  Ergonomic Evaluation of Biomechanical Hand Function , 2014, Safety and health at work.

[27]  Ruh-Hua Wu,et al.  Applications of linear Hall-effect sensors on angular measurement , 2011, 2011 IEEE International Conference on Control Applications (CCA).

[28]  Oleg V. Ivanov,et al.  Fiber-Optic Bend Sensor Based on Double Cladding Fiber , 2015, J. Sensors.

[29]  Liu Huaping,et al.  A Novel Data Glove Design Based on Inertial and Magnetic Sensors , 2015 .

[30]  Mayank Singhal,et al.  Smart glove for Sign Language communications , 2016, 2016 International Conference on Accessibility to Digital World (ICADW).

[31]  Surjeet Kumar,et al.  Human Machine Interface Glove Using Piezoresistive Textile Based Sensors , 2018, IOP Conference Series: Materials Science and Engineering.

[32]  Brendan O'Flynn,et al.  Hand Tracking and Gesture Recognition Using Lensless Smart Sensors , 2018, Sensors.

[33]  M. Deriche,et al.  An IOT based Wearable Smart Glove for Remote Monitoring of Rheumatoid Arthritis Patients , 2019, BIOSIGNALS.

[34]  P. Riel The development of the disease activity score (DAS) and the disease activity score using 28 joint counts (DAS28). , 2014 .

[35]  Eric Fujiwara,et al.  Development of a glove-based optical fiber sensor for applications in human-robot interaction , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[36]  Kevin Curran,et al.  Novel smart sensor glove for arthritis rehabiliation , 2013, 2013 IEEE International Conference on Body Sensor Networks.

[37]  Hang Guo,et al.  Fabric-based self-powered noncontact smart gloves for gesture recognition , 2018 .

[38]  Tsutomu Takeuchi,et al.  EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2016 update , 2010, Annals of the rheumatic diseases.

[39]  P. Dario,et al.  Evaluation of an instrumented glove for hand-movement acquisition. , 2003, Journal of rehabilitation research and development.

[40]  L. March,et al.  Reliability of joint count assessment in rheumatoid arthritis: a systematic literature review. , 2014, Seminars in arthritis and rheumatism.

[41]  K. Lorig,et al.  Evidence suggesting that health education for self-management in patients with chronic arthritis has sustained health benefits while reducing health care costs. , 1993, Arthritis and rheumatism.

[42]  J J Dias,et al.  How accurately does a simulation glove reflect function compared to rheumatoid arthritis sufferers? , 2010, Annals of the Royal College of Surgeons of England.

[43]  L. Bouyer,et al.  Clinicians’ perspectives on inertial measurement units in clinical practice , 2020, PloS one.

[44]  Olga Troynikov,et al.  Therapy gloves for patients with rheumatoid arthritis: a review , 2014, Therapeutic advances in musculoskeletal disease.

[45]  Alejandro Baldominos Gómez,et al.  An Approach to Physical Rehabilitation Using State-of-the-art Virtual Reality and Motion Tracking Technologies , 2015, CENTERIS/ProjMAN/HCist.

[46]  A. Rat,et al.  Rheumatoid arthritis: direct and indirect costs. , 2004, Joint, bone, spine : revue du rhumatisme.

[47]  Kaspar Althoefer,et al.  AirExGlove — A novel pneumatic exoskeleton glove for adaptive hand rehabilitation in post-stroke patients , 2018, 2018 IEEE International Conference on Soft Robotics (RoboSoft).

[48]  Masahiko Toyonaga,et al.  Data-Glove for Japanese Sign Language Training System with Gyro-Sensor , 2018, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS).

[49]  S. Gursoy,et al.  The effects of reflexology on pain and sleep deprivation in patients with rheumatoid arthritis: A randomized controlled trial. , 2018, Complementary therapies in clinical practice.

[50]  Joan Condell,et al.  IMU Sensor-Based Electronic Goniometric Glove for Clinical Finger Movement Analysis , 2018, IEEE Sensors Journal.

[51]  F. Salawu,et al.  Non-motor symptoms of Parkinson's disease: diagnosis and management. , 2010, Nigerian journal of medicine : journal of the National Association of Resident Doctors of Nigeria.

[52]  Maria E. Niessen,et al.  Monitoring Activities of Daily Living in Smart Homes: Understanding human behavior , 2016, IEEE Signal Processing Magazine.

[53]  K. Kerschan-Schindl,et al.  Rehabilitation von Patienten mit rheumatoider Arthritis , 2011, Innere Medizin up2date.

[54]  Shokoufeh Davarzani,et al.  Design and Fabrication of Sensing System for Rehabilitation of Finger , 2020, 2020 28th Iranian Conference on Electrical Engineering (ICEE).

[56]  Susan Gordon,et al.  Reliability and concurrent validity of knee angle measurement: smart phone app versus universal goniometer used by experienced and novice clinicians. , 2014, Manual therapy.

[57]  Pei-Ying Chiang,et al.  A Modular Data Glove System for Finger and Hand Motion Capture Based on Inertial Sensors , 2019 .

[58]  Arjan Kuijper,et al.  A Benchmarking Model for Sensors in Smart Environments , 2014, AmI.

[59]  Neff Walker,et al.  Evaluation of the CyberGlove as a whole-hand input device , 1995, TCHI.

[60]  A. Orbai,et al.  “Stiffness Has Different Meanings, I Think, to Everyone”: Examining Stiffness From the Perspective of People Living With Rheumatoid Arthritis , 2014, Arthritis care & research.

[61]  Gozde Goncu-Berk,et al.  A Healthcare Wearable for Chronic Pain Management. Design of a Smart Glove for Rheumatoid Arthritis , 2017 .

[62]  M. Bukhari,et al.  How rheumatologists assess disability in the current era needs an overhaul: focus on the Health Assessment Questionnaire. , 2019, Rheumatology.

[63]  Muhammad Modi bin Lakulu,et al.  A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017 , 2018, Sensors.

[64]  A. Kriščiūnas,et al.  The effectiveness of occupational therapy in restoring the functional state of hands in rheumatoid arthritis patients. , 2006, Medicina.

[65]  N. Salter Methods of measurement of muscle and joint function. , 1955, The Journal of bone and joint surgery. British volume.

[66]  David Zeltzer,et al.  A survey of glove-based input , 1994, IEEE Computer Graphics and Applications.