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Mennella C, Alloisio S, Novellino A, Viti F. Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2021; 22:199. [PMID: 35009742 PMCID: PMC8749695 DOI: 10.3390/s22010199] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 12/22/2021] [Accepted: 12/23/2021] [Indexed: 01/08/2023]
Abstract
Technology-aided hand functional assessment has received considerable attention in recent years. Its applications are required to obtain objective, reliable, and sensitive methods for clinical decision making. This systematic review aims to investigate and discuss characteristics of technology-aided hand functional assessment and their applications, in terms of the adopted sensing technology, evaluation methods and purposes. Based on the shortcomings of current applications, and opportunities offered by emerging systems, this review aims to support the design and the translation to clinical practice of technology-aided hand functional assessment. To this end, a systematic literature search was led, according to recommended PRISMA guidelines, in PubMed and IEEE Xplore databases. The search yielded 208 records, resulting into 23 articles included in the study. Glove-based systems, instrumented objects and body-networked sensor systems appeared from the search, together with vision-based motion capture systems, end-effector, and exoskeleton systems. Inertial measurement unit (IMU) and force sensing resistor (FSR) resulted the sensing technologies most used for kinematic and kinetic analysis. A lack of standardization in system metrics and assessment methods emerged. Future studies that pertinently discuss the pathophysiological content and clinimetrics properties of new systems are required for leading technologies to clinical acceptance.
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Affiliation(s)
- Ciro Mennella
- Institute of Biophysics, National Research Council, Via De Marini 6, 16149 Genova, Italy; (S.A.); (F.V.)
| | - Susanna Alloisio
- Institute of Biophysics, National Research Council, Via De Marini 6, 16149 Genova, Italy; (S.A.); (F.V.)
- ETT Spa, Via Sestri 37, 16154 Genova, Italy;
| | | | - Federica Viti
- Institute of Biophysics, National Research Council, Via De Marini 6, 16149 Genova, Italy; (S.A.); (F.V.)
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Santos L, Geminiani A, Schydlo P, Olivieri I, Santos-Victor J, Pedrocchi A. Design of a Robotic Coach for Motor, Social and Cognitive Skills Training Toward Applications With ASD Children. IEEE Trans Neural Syst Rehabil Eng 2021; 29:1223-1232. [PMID: 34152988 DOI: 10.1109/tnsre.2021.3091320] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Socially assistive robots may help the treatment of autism spectrum disorder(ASD), through games using dyadic interactions to train social skills. Existing systems are mainly based on simplified protocols which qualitatively evaluate subject performance. We propose a robotic coaching platform for training social, motor and cognitive capabilities, with two main contributions: (i) using triadic interactions(adult, robot and child), with robotic mirroring, and (ii) providing quantitative performance indicators. The key system features were accurately designed, including type of protocols, feedback systems and evaluation metrics, contemplating the requirements for applications with ASD children. We implemented two protocols, Robot-Master and Adult-Master, where children performed different gestures guided by the robot or the adult respectively, eventually receiving feedback about movement execution. In both, the robot mirrors the subject during the movement. To assess system functionalities, with a homogeneous group of subjects, tests were carried out with 28 healthy subjects; one preliminary acquisition was done with an ASD child. Data analysis was customized to design protocol-specific parameters for movement characterization. Our tests show that robotic mirroring execution depends on the complexity and standardization of movements, as well as on the robot technical features. The feedback system evaluated movement phases and successfully estimated the completion of the exercises. Future work includes improving platform flexibility and adaptability, and clinical trials with ASD children to test the impact of the robotic coach on reducing symptoms. We trust that the proposed quantitative performance indicators extend the current state-of-the-art towards clinical usage of robotic-based coaching systems.
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Yu A, Yick KL, Wong ST. Analysis of length of finger segments with different hand postures to enhance glove design. APPLIED ERGONOMICS 2021; 94:103409. [PMID: 33740742 DOI: 10.1016/j.apergo.2021.103409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/24/2021] [Accepted: 03/01/2021] [Indexed: 06/12/2023]
Abstract
It is important to understand how the hand and fingers elongate and contract with hand posture for optimally fitting and comfortable gloves. Nevertheless, the measurement and analysis of the finger segments for glove designs remain largely neglected. Here, the length and proportion of the finger segments when splayed and during gripping, and between the dorsal and palm sides of 30 participants are 3D scanned and analysed. The full digit lengths change by 7.6-11.9% with hand posture, but the finger segment changes are not proportional. The ratios of the fingertip to distal interphalangeal joint/full digit, and fingertip to the proximal interphalangeal joint/full digit, are important variables. The results are validated with 10 more subjects based on ratings of a ready-to-wear sports glove. Inaccurate proportioning of the finger regions causes shifting which results in displacement and discomfort. This research contributes to glove pattern engineering, with a focus on the finger segments.
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Affiliation(s)
- Annie Yu
- Department of Advanced Fibro Science, Kyoto Institute of Technology, Japan
| | - Kit-Lun Yick
- Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong; Laboratory for Artificial Intelligence in Design, Hong Kong.
| | - Sin-Tung Wong
- Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong
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Fazeli HR, Peng Q. Estimation of spatial-temporal hand motion parameters in rehabilitation using a low-cost noncontact measurement system. Med Eng Phys 2021; 90:43-53. [PMID: 33781479 DOI: 10.1016/j.medengphy.2021.02.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 01/15/2021] [Accepted: 02/20/2021] [Indexed: 10/22/2022]
Abstract
Data collection and analysis are commonly used in a rehabilitation process to measure performances of the treatment. There is a lack of studies on the rehabilitation process monitored by a user-friendly interface. A low-cost system is developed in this research to assist users and therapists to measure hand motions and analyse important data of hand joints. The system consists of modules of data capturing, data analysis, and user interface. A Leap Motion sensor is used to capture joint positions of hand motions. Signal processing and wavelet de-noising methods are developed to improve accuracy of the data analysis. The user interface is designed using the Unity software to show graphical information of joint positions and motion parameters. The system has features of noncontact measurements, interactive environment, analysing and recording temporal data of motion parameters of hands. The system is validated by a gold standard motion capturing system. Case studies show effectiveness of the proposed system.
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Affiliation(s)
- Hamid Reza Fazeli
- Department of Mechanical Engineering, University of Manitoba, Winnipeg R3T 5V6, Canada
| | - Qingjin Peng
- Department of Mechanical Engineering, University of Manitoba, Winnipeg R3T 5V6, Canada.
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Geminiani A, Santos L, Casellato C, Farabbi A, Farella N, Santos-Victor J, Olivieri I, Pedrocchi A. Design and validation of two embodied mirroring setups for interactive games with autistic children using the NAO humanoid robot. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2019:1641-1644. [PMID: 31946211 DOI: 10.1109/embc.2019.8857576] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Socially assistive robots have shown potential benefits in therapy of child and elderly patients with social and cognitive deficits. In particular, for autistic children, humanoid robots could enhance engagement and attention, thanks to their simplified toy-like appearance and the reduced set of possible movements and expressions. The recent focus on autism-related motor impairments has increased the interest on developing new robotic tools aimed at improving not only the social capabilities but also the motor skills of autistic children. To this purpose, we have designed two embodied mirroring setups using the NAO humanoid robot. Two different tracking systems were used and compared: Inertial Measurement Units and the Microsoft Kinect, a marker-less vision based system. Both platforms were able to mirror upper limb basic movements of two healthy subjects, an adult and a child. However, despite the lower accuracy, the Kinect-based setup was chosen as the best candidate for embodied mirroring in autism treatment, thanks to the lower intrusiveness and reduced setup time. A prototype of an interactive mirroring game was developed and successfully tested with the Kinect-based platform, paving the way to the development of a versatile and powerful tool for clinical use with autistic children.
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Donizetti Verri E, da Silva GP, Marianetti Fioco E, Soares da Silva N, Valin Fabrin SC, Augusto Bueno Zanella C, Roberta Garrefa C, Faria Júnior M, Siéssere S, Hallak JEC, Palinkas M, Chaves TC, Regalo SCH. Effects of Parkinson's disease on molar bite force, electromyographic activity and muscle thickness of the masseter, temporal and sternocleidomastoid muscles: A case‐control study. J Oral Rehabil 2019; 46:912-919. [DOI: 10.1111/joor.12824] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 04/10/2019] [Accepted: 05/26/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Edson Donizetti Verri
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
- Department of Physiotherapy Batatais Claretiano Center University São Paulo Brazil
| | - Gabriel Pádua da Silva
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
| | - Evandro Marianetti Fioco
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
- Department of Physiotherapy Batatais Claretiano Center University São Paulo Brazil
| | - Nayara Soares da Silva
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
| | - Saulo César Valin Fabrin
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
| | | | - Camila Roberta Garrefa
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
| | - Milton Faria Júnior
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
| | - Selma Siéssere
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
- National Institute of Science and Technology, Translational Medicine Ribeirão Preto Brazil
| | - Jaime Eduardo Cecilio Hallak
- National Institute of Science and Technology, Translational Medicine Ribeirão Preto Brazil
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School University of São Paulo Ribeirão Preto Brazil
| | - Marcelo Palinkas
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
- National Institute of Science and Technology, Translational Medicine Ribeirão Preto Brazil
- Faculty of Anhanguera de Ribeirão Preto São Paulo Brazil
| | - Thais Cristina Chaves
- Department of Neurosciences and Behavior, Ribeirão Preto Medical School University of São Paulo Ribeirão Preto Brazil
| | - Simone Cecilio Hallak Regalo
- Department of Basic and Oral Pathology, School of Dentistry of Ribeirão Preto University of São Paulo São Paulo Brazil
- National Institute of Science and Technology, Translational Medicine Ribeirão Preto Brazil
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Garcia-Agundez A, Folkerts AK, Konrad R, Caserman P, Tregel T, Goosses M, Göbel S, Kalbe E. Recent advances in rehabilitation for Parkinson's Disease with Exergames: A Systematic Review. J Neuroeng Rehabil 2019; 16:17. [PMID: 30696453 PMCID: PMC6352377 DOI: 10.1186/s12984-019-0492-1] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 01/23/2019] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE The goal of this contribution is to gather and to critically analyze recent evidence regarding the potential of exergaming for Parkinson's disease (PD) rehabilitation and to provide an up-to-date analysis of the current state of studies on exergame-based therapy in PD patients. METHODS We performed our search based on the conclusions of a previous systematic review published in 2014. Inclusion criteria were articles published in the indexed databases Pubmed, Scopus, Sciencedirect, IEEE and Cochrane published since January 1, 2014. Exclusion criteria were papers with a target group other than PD patients exclusively, or contributions not based on exergames. Sixty-four publications out of 525 matches were selected. RESULTS The analysis of the 64 selected publications confirmed the putative improvement in motor skills suggested by the results of the previous review. The reliability and safety of both Microsoft Kinect and Wii Balance Board in the proposed scenarios was further confirmed by several recent studies. Clinical trials present better (n = 5) or similar (n = 3) results than control groups (traditional rehabilitation or regular exercise) in motor (TUG, BBS) and cognitive (attention, alertness, working memory, executive function), thus emphasizing the potential of exergames in PD. Pilot studies (n = 11) stated the safety and feasibility of both Microsoft Kinect and Wii Balance Board, potentially in home scenarios as well. Technical papers (n = 30) stated the reliability of balance and gait data captured by both devices. Related meta-analyses and systematic reviews (n = 15) further support these statements, generally citing the need for adaptation to patient's skills and new input devices and sensors as identified gaps. CONCLUSION Recent evidence indicates exergame-based therapy has been widely proven to be feasible, safe, and at least as effective as traditional PD rehabilitation. Further insight into new sensors, best practices and different cognitive stadiums of PD (such as PD with Mild Cognitive Impairment), as well as task specificity, are required. Also, studies linking game parameters and results with traditional assessment methods, such as UPDRS scores, are required. Outcomes for randomized controlled trials (RCTs) should be standardized, and follow-up studies are required, particularly for motor outcomes.
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Affiliation(s)
| | - Ann-Kristin Folkerts
- Department of Medical Psychology | Neuropsychology and Gender Studies & Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne, Cologne, Germany
| | - Robert Konrad
- Multimedia Communications Lab, Technische Universitaet Darmstadt, Darmstadt, Germany
| | - Polona Caserman
- Multimedia Communications Lab, Technische Universitaet Darmstadt, Darmstadt, Germany
| | - Thomas Tregel
- Multimedia Communications Lab, Technische Universitaet Darmstadt, Darmstadt, Germany
| | - Mareike Goosses
- Department of Medical Psychology | Neuropsychology and Gender Studies & Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne, Cologne, Germany
| | - Stefan Göbel
- Multimedia Communications Lab, Technische Universitaet Darmstadt, Darmstadt, Germany
| | - Elke Kalbe
- Department of Medical Psychology | Neuropsychology and Gender Studies & Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne, Cologne, Germany
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Spasojević S, Ilić TV, Stojković I, Potkonjak V, Rodić A, Santos-Victor J. Quantitative Assessment of the Arm/Hand Movements in Parkinson's Disease Using a Wireless Armband Device. Front Neurol 2017; 8:388. [PMID: 28848489 PMCID: PMC5554498 DOI: 10.3389/fneur.2017.00388] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Accepted: 07/21/2017] [Indexed: 11/16/2022] Open
Abstract
We present an approach for quantitative assessment of the arm/hand movements in patients with Parkinson’s disease (PD), from sensor data acquired with a wearable, wireless armband device (Myo sensor). We propose new Movement Performance Indicators that can be adopted by practitioners for the quantitative evaluation of motor performance and support their clinical evaluations. In addition, specific Movement Performance Indicators can indicate the presence of the bradykinesia symptom. The study includes seventeen PD patients and sixteen age-matched controls. A set of representative arm/hand movements is defined under the supervision of movement disorder specialist. In order to assist the evaluations, and for progress monitoring purposes, as well as for assessing the amount of bradykinesia in PD, a total set of 84 Movement Performance Indicators are computed from the sensor readings. Subsequently, we investigate whether wireless armband device, with the use of the proposed Movement Performance Indicators can be utilized: (1) for objective and precise quantitative evaluation of the arm/hand movements of Parkinson’s patients, (2) for assessment of the bradykinesia motor symptom, and (3) as an adequate low-cost alternative for the sensor glove. We conducted extensive analysis of proposed Movement Performance Indicators and results are indicating following clinically relevant characteristics: (i) adequate reliability as measured by ICC; (ii) high accuracy in discrimination between the patients and controls, and between the disease stages (support to disease diagnosis and progress monitoring, respectively); (iii) substantial difference in comparison between the left-hand and the right-hand movements across controls and patients, as well as between disease stage groups; (iv) statistically significant correlation with clinical scales (tapping test and UPDRS-III Motor Score); and (v) quantitative evaluation of bradykinesia symptom. Results suggest that the proposed approach has a potential to be adopted by physicians, to afford them with quantitative, objective and precise methods and data during clinical evaluations and support the assessment of bradykinesia.
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Affiliation(s)
- Sofija Spasojević
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia.,Mihailo Pupin Institute, University of Belgrade, Belgrade, Serbia.,Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
| | - Tihomir V Ilić
- Department of Neurology, Medical Faculty of Military Medical Academy, University of Defense, Belgrade, Serbia
| | - Ivan Stojković
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia.,Computer and Information Sciences Department, College of Science and Technology, Temple University, Philadelphia, PA, United States
| | - Veljko Potkonjak
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
| | - Aleksandar Rodić
- Mihailo Pupin Institute, University of Belgrade, Belgrade, Serbia
| | - José Santos-Victor
- Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
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Fardoun HM, Mashat AS. Technologies Solutions Schemes for Patients' Rehabilitation. Methodologies, Models and Algorithms. Methods Inf Med 2017; 56:83-87. [PMID: 28244544 DOI: 10.3414/me17-14-0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE The present editorial is part of the focus theme of Methods of Information in Medicine entitled "Technologies solutions schemes for Patients' Rehabilitation: Methodologies, Models and Algorithms". The focus theme aims to present nowadays most innovative solutions to improve patients' rehabilitation by applying and using sophisticated and pioneering Information and Communication Technologies (ICT) and human factors. METHODS The focus theme explores the different existent research works and tools used, applied and developed for incapable people in terms of rehabilitation and health care, as to look into the extent methodologies, models and algorithms by means of ICT in this process. RESULTS The focus theme lists a group of research works, which are presenting various solutions using ICT systems to improve the rehabilitation process of people with physical incapacities and to help them in carrying out their daily life.
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Affiliation(s)
- Habib M Fardoun
- Habib M. Fardoun, Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University (KAU), Jeddah, Kingdom of Saudi Arabia, E-mail:
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