Article
Robotics
Zahra Habibollahi, Yue Zhou, Mary E. Jenkins, S. Jayne Garland, Michael D. Naish, Ana Luisa Trejos
Summary: Wearable technologies have shown promise in managing tremors, providing an alternative to current treatments. A multimodal approach combining functional electrical stimulation (FES) and electric motors has been developed, showing improved tremor suppression and reduced voluntary motion tracking error.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Review
Engineering, Biomedical
Moslem Mohammadi, Ali Zolfagharian, Mahdi Bodaghi, Yong Xiang, Abbas Z. Kouzani
Summary: This study investigates different types of tremor-suppression orthoses, discusses their efficiency, mechanism, benefits, and disadvantages. Traditional manufacturing problems can be solved with the help of additive manufacturing (AM) techniques, making orthoses that are lighter, more affordable, and customizable. Additionally, using smart materials and AM methods can produce more comfortable and efficient orthoses.
BIO-DESIGN AND MANUFACTURING
(2022)
Article
Robotics
Ahmad Zahedi, Bin Zhang, Andong Yi, Dingguo Zhang
Summary: This study introduces a novel soft exoskeleton system (SETS) for suppressing pathological tremor in patients with Parkinson's disease and essential tremor. The SETS system is equipped with a controllable flexible semiactive actuator, characterized by low mass, compact structure, comfortable wearability and real-time adjustability. Simulation studies and experimental tests demonstrate the significant mechanical efficiency of the SETS system in reducing wrist tremor.
Review
Clinical Neurology
Julio S. Lora-Millan, Gabriel Delgado-Oleas, Julian Benito-Leon, Eduardo Rocon
Summary: Pathological tremors can severely impact daily life activities and are currently managed through pharmacotherapy or surgery, which have associated drawbacks. However, recent research has shown the feasibility of treating upper limb tremors using wearable technologies.
FRONTIERS IN NEUROLOGY
(2021)
Article
Engineering, Biomedical
Yue Zhou, Zahra Habibollahi, Anas Ibrahim, Mary E. Jenkins, Michael D. Naish, Ana Luisa Trejos
Summary: This study implemented, evaluated, and compared four tremor estimators and proved the feasibility of implementing various tremor estimators in a cost-effective embedded system.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Engineering, Mechanical
Ahmad Zahedi, Yansong Wang, Uriel Martinez-Hernandez, Dingguo Zhang
Summary: Pathological tremor is a common neuromuscular disorder that affects daily activities, and a wearable elbow exoskeleton WEETS is proposed for tremor suppression, which has been shown to effectively attenuate tremors in the elbow joint.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Neurosciences
Hoai Son Nguyen, Trieu Phat Luu
Summary: Pathological tremor is the most common motor disorder in adults, and wearable orthoses with Functional Electrical Stimulation (FES) and biomechanical loading have been found to be effective in tremor suppression. Active orthoses are the most prevalent, with bench testing showing the highest efficacy. The majority of orthoses use biomechanical sensors for measuring voluntary and/or tremorous motions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Engineering, Biomedical
A. T. Wanasinghe, W. V. Awantha, A. G. P. Kavindya, A. L. Kulasekera, D. S. Chathuranga, B. Senanayake
Summary: The soft orthosis using layer jamming technology effectively suppresses hand tremors, showing significant results in both testing and clinical trials.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Acoustics
Mo'ath Yousef, Muhammad Hafizh, Sadok Sassi, Asan G. A. Muthalif
Summary: Individuals with upper limb tremors struggle with daily activities due to uncontrollable rapid movements. Traditional treatments are expensive and invasive, but wearable technology offers a solution with tremor suppression devices. A low-cost wearable bracelet was developed to target rest and active tremors using real-life tremor spectrums. With a innovative multiple-slot design, the bracelet could suppress multiple frequencies within the 3-8 Hz range. Results from a finite element analysis showed an overall tremor suppression of up to 68% and targeted suppression of up to 98.2%.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Chemistry, Analytical
Rohit Nayak, Jeyeon Lee, Setayesh Sotoudehnia, Su-Youne Chang, Mostafa Fatemi, Azra Alizad
Summary: Functional ultrasound (fUS) is a hemodynamic-based functional neuroimaging technique that is particularly useful for investigating brain activity in animal models. This study aimed to explore the potential of fUS imaging for visualizing changes in cerebral activation and deactivation associated with harmaline-induced tremor and the tremor-suppressing effects of propranolol. The results showed significant neural activity changes in the primary motor cortex and ventrolateral thalamus regions during tremor, which gradually returned to baseline as tremor subsided. This is the first fUS study to demonstrate the neurovascular activation of harmaline-induced tremor and its therapeutic suppression in a rat model, highlighting the potential of fUS as a noninvasive imaging method for studying neuronal activities in the essential tremor model and its treatment.
Article
Automation & Control Systems
Zan Zhang, Bing Chu, Yanhong Liu, Haichuan Ren, Zhe Li, David H. Owens
Summary: The study proposed a new FES-based multiperiodic repetitive control scheme for suppressing multiple frequency wrist tremors, and experimental results showed significant effectiveness.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Instruments & Instrumentation
Christopher R. Kelley, Jeffrey L. Kauffman
Summary: Active wearable tremor suppression devices use actuators to reduce tremor motion, providing non-invasive and robust treatment, but are limited by the bulkiness of current engineering actuators.
SMART MATERIALS AND STRUCTURES
(2021)
Article
Engineering, Biomedical
Yue Zhou, Anas Ibrahim, Kenneth G. Hardy, Mary E. Jenkins, Michael D. Naish, Ana Luisa Trejos
Summary: The study aimed to design a wearable tremor suppression glove that can suppress tremor simultaneously, but independently, in multiple hand joints without restricting the user's voluntary motion. The experimental evaluation showed promising results in tremor suppression, demonstrating the feasibility of using the device for managing hand and finger tremor in individuals living with Parkinson's disease.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Rafael Silfarney Alves Araujo, Jessica Cristina Tironi, Wemerson Delcio Parreira, Renata Coelho Borges, Juan Francisco De Paz Santana, Valderi Reis Quietinho Leithardt
Summary: According to the World Health Organization, the increase in life expectancy has led to a rise in age-related neurodegenerative diseases, particularly tremors associated with Parkinson's disease or essential tremors. This study used computer simulations in Matlab software to investigate the effectiveness of adaptive algorithms based on least mean squares in suppressing tremors in the hands. The Fx-LMS algorithm was found to be most suitable for physiological tremors, while the proposed Fsinx-LMS algorithm showed the best results for pathological tremors in this specific case.
APPLIED SCIENCES-BASEL
(2023)
Article
Robotics
Guohui Wang, Hailu Wang, Weinan Gao, Xudong Yang, Yifan Wang
Summary: This study presents a lightweight variable stiffness wrist exoskeleton (VSW-Exo) that can effectively suppress wrist tremors in all three degrees of freedom for Parkinson's disease patients. By air controlling the stiffness of the material, the exoskeleton reduces tremors in the wrist. Experimental results show that the tremor suppression efficiency of the VSW-Exo can reach from 64.11% to 67.24%.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Chemistry, Analytical
Luis Pelaez Murciego, Abiodun Komolafe, Nikola Perinka, Helga Nunes-Matos, Katja Junker, Ander Garcia Diez, Senentxu Lanceros-Mendez, Russel Torah, Erika G. Spaich, Strahinja Dosen
Summary: In this study, a novel dry electrode called TEX was introduced as a practical solution for high-density electromyography. Compared to traditional electrodes, TEX showed similar signal quality and functional application, while being more convenient for practical use.
Article
Engineering, Biomedical
Sabina Manz, Dirk Seifert, Bjoern Altenburg, Thomas Schmalz, Strahinja Dosen, Jose Gonzalez-Vargas
Summary: This study aims to investigate the possibility of accurately measuring gait parameters using embedded sensors in a microprocessor-controlled knee joint. The results show that the embedded sensors have small root mean square errors and relative errors compared to the traditional motion capture system and force plates when measuring knee and thigh angles, as well as knee moments.
CLINICAL BIOMECHANICS
(2023)
Article
Automation & Control Systems
Ainara Garzo, Je H. Jung, Javier Arcas-Ruiz-Ruano, Joel C. Perry, Thierry Keller
Summary: ArmAssist (AA) is a platform developed by TECNALIA for telerehabilitation, aiming to assist poststroke subjects in maintaining upper limb rehabilitation at home. It includes robotic modules with multiple sensors for training and measuring voluntary movements, as well as a serious games-based assessment platform for engaging users and performing automated evaluations.
IEEE ROBOTICS & AUTOMATION MAGAZINE
(2023)
Article
Chemistry, Analytical
Mohamed H. Abdelhafiz, Lotte N. S. Andreasen Struijk, Strahinja Dosen, Erika G. Spaich
Summary: This study proposes a bioinspired exotendon routing configuration that utilizes a single motor to reduce complexity for finger flexion and extension. The proposed mechanism successfully prevented hyperextension of the distal interphalangeal (DIP) and the metacarpophalangeal (MCP) joints and produced flexion trajectories closer to voluntary motion. The results demonstrate that the proposed solution is an effective solution for the soft hand exoskeleton system.
Article
Robotics
Lucia Seminara, Strahinja Dosen, Fulvio Mastrogiovanni, Matteo Bianchi, Simon Watt, Philipp Beckerle, Thrishantha Nanayakkara, Knut Drewing, Alessandro Moscatelli, Roberta L. Klatzky, Gerald E. Loeb
Summary: This study proposes a framework that models the hierarchical sensorimotor controllers of the human nervous system to connect sensing and action in haptically enabled artificial hands, aiming to enhance dexterity and use of tactile sensors.
Article
Engineering, Electrical & Electronic
Edoardo Ragusa, Strahinja Dosen, Rodolfo Zunino, Paolo Gastaldo
Summary: This article presents a design strategy for tiny deep neural networks (DNNs) that can accomplish affordance segmentation and deploy effectively on devices with limited processing power. The proposed method demonstrated satisfactory performance compared to state-of-the-art approaches, with considerable reduction in both network complexity and inference time.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Suraj Suman, Federico Chiariotti, Cedomir Stefanovic, Strahinja Dosen, Petar Popovski
Summary: This paper presents a framework to analyze the latency of a closed-loop teleoperation system in mission-critical applications. It uses models of each component to analyze the latency and optimize the compression strategy. Non-convex optimization is used to minimize the closed-loop latency. The simulation results show the importance of considering individual components in system design to prevent under-provisioning and performance degradation.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Engineering, Biomedical
Romain Valette, Jose Gonzalez-Vargas, Strahinja Dosen
Summary: This study evaluated the psychometric properties of multichannel electrotactile stimulation during sitting and walking. The results showed that sitting provided better perception of the stimulation compared to walking, which can be affected by motion and physical coupling. Calibration of the stimulation is particularly important for individuals with lower-limb loss.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Computer Science, Cybernetics
Filip Gasparic, Nikola Jorgovanovic, Christian Hofer, Michael F. Russold, Mario Koppe, Darko Stanisic, Strahinja Dosen
Summary: EMG biofeedback with nonlinear mapping can improve prosthesis force control, especially for higher forces.
IEEE TRANSACTIONS ON HAPTICS
(2023)
Editorial Material
Robotics
Strahinja Dosen
Article
Engineering, Biomedical
Martin A. Garenfeld, Matija Strbac, Nikola Jorgovanovic, Jakob L. Dideriksen, Strahinja Dosen
Summary: This study presents the first solution for closed-loop myoelectric control of a multifunctional hand prosthesis with full-state anatomically congruent electrotactile feedback. The results show that the developed feedback can improve prosthesis control across multiple degrees of freedom (DoFs), but also highlight the subjects' ability to exploit minimal incidental information.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
Andrea Marinelli, Nicolo Boccardo, Michele Canepa, Dario Di Domenico, Marianna Semprini, Michela Chiappalone, Matteo Laffranchi, Lorenzo De Michieli, Strahinja Dosen
Summary: The bidirectional communication between the user and the prosthesis is crucial in developing prosthetic hands. This study proposes a novel solution to encode wrist rotation using a vibromotor array and Gaussian interpolation of vibration intensity, and systematically evaluates its performance.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Meeting Abstract
Clinical Neurology
B. Svejgaard, A. Stevenson, H. Jorgensen, B. Modrau, S. Dosen, N. Mrachacz-Kersting
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Fabricio Ariel Jure, Erika Geraldina Spaich, Laura Petrini, Strahinja Dosen
Summary: Enhancing perception through tactile stimulation can improve performance, especially when other senses are overloaded. However, identifying tactile messages in multitasking scenarios is challenging, and increasing message duration does not effectively prevent performance decline.
ADVANCES IN SYSTEM-INTEGRATED INTELLIGENCE, SYSINT 2022
(2023)
