☆ 4.5 Review

Sensor-Based Rehabilitation in Neurological Diseases: A Bibliometric Analysis of Research Trends

BRAIN SCIENCES (2023)

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Review Engineering, Industrial

A systematic review of technological advancements in signal sensing, actuation, control and training methods in robotic exoskeletons for rehabilitation

Meby Mathew et al.

Summary: This review paper addresses the challenges of outdated exoskeletons used for rehabilitation and discusses the advancements in this field. It explores the improvements in sensing input signals, actuation, control, and training methods for exoskeleton research. Recent developments include integrating modern tools, such as bio signal sensing for user-desired actions, artificial intelligence and machine learning for brain-computer interfacing, and the use of games, virtual reality (VR), and augmented reality (AR) technologies for more effective rehabilitation training. Challenges in actuation can be overcome with advanced power sources and smart materials, while optimization algorithms and improved control methods enhance the performance of exoskeletons. The experiments using VR/AR and games have shown promising results in improving patients' performance.

INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION (2023)

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Article Chemistry, Analytical

Current Technology Developments Can Improve the Quality of Research and Level of Evidence for Rehabilitation Interventions

Bruno Bonnechere et al.

Summary: The current limitations to Evidence-Based Practice (EBP) in rehabilitation are primarily due to the challenges in validating interventions. Strict guidelines developed for new drug validation cannot be fully applied in rehabilitation. Difficulties in organizing high-quality randomized controlled trials in rehabilitation and limited funding contribute to the scarcity of high levels of evidence. This review discusses the limitations of EBP in rehabilitation and suggests innovative solutions, such as technology-supported rehabilitation systems and advanced statistical methods, to address these challenges.

SENSORS (2023)

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Review Engineering, Biomedical

Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

Issam Boukhennoufa et al.

Summary: Stroke is the second most common cause of death worldwide, and rehabilitation is crucial in helping survivors relearn skills and regain independence. Recent advancements in technology have enabled researchers to utilize wearable devices for data collection and machine learning algorithms for evaluating post-stroke rehabilitation. The field is moving towards activity recognition, movement classification, and clinical assessment emulation in assessing patients and designing rehabilitation programs.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)

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Article Robotics

Design of sensing system for experimental modeling of soft actuator applied for finger rehabilitation

Shokoufeh Davarzani et al.

Summary: Soft robotic gloves have been recognized as effective tools for stroke rehabilitation. This research proposes a pneumatically actuated soft robotic glove for index finger rehabilitation, which can estimate the range of motion of finger joints. Experimental results show that artificial neural network models can predict the behavior of the soft actuator, providing a practical approach for controlling it.

ROBOTICA (2022)

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Article Robotics

Deep learning analysis based on multi-sensor fusion data for hemiplegia rehabilitation training system for stoke patients

Peng Zhang et al.

Summary: By recognizing the motion of the healthy side, the lower limb exoskeleton robot can provide therapy to the affected side of stroke patients. Deep learning-based research was conducted to improve the accuracy of motion intention recognition. A novel algorithm model and template processing schemes were proposed to adapt to different data formats, and the effectiveness of the proposed model was demonstrated through evaluation on a real trajectory dataset.

ROBOTICA (2022)

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Article Multidisciplinary Sciences

Spelling interface using intracortical signals in a completely locked-in patient enabled via auditory neurofeedback training

Ujwal Chaudhary et al.

Summary: This study found that ALS patients in a completely locked-in state can still communicate through neural-based control, indicating that they might be able to achieve independent communication through the brain.

NATURE COMMUNICATIONS (2022)

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Review Health Care Sciences & Services

Machine Learning for Healthcare Wearable Devices: The Big Picture

Farida Sabry et al.

Summary: Using artificial intelligence and machine learning techniques in healthcare applications, especially wearable devices, has shown great potential. However, the commercialization of machine learning applications on wearable devices still faces challenges and requires further research and improvement.

JOURNAL OF HEALTHCARE ENGINEERING (2022)

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Review Chemistry, Analytical

A Review: Research Progress of Neural Probes for Brain Research and Brain-Computer Interface

Jiahui Luo et al.

Summary: This article reviews three types of neural probes: microelectrodes, optoprobes, and magnetrodes. It discusses the development of microelectrodes and strategies for their flexibility, introduces the concept of optogenetics and new structures of optoprobes, and reviews the research progress of magnetrodes based on magnetoresistive sensors.

BIOSENSORS-BASEL (2022)

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Article Business

How to conduct a bibliometric analysis: An overview and guidelines

Naveen Donthu et al.

Summary: Bibliometric analysis is a popular and rigorous method for exploring and analyzing large volumes of scientific data. While its application in business research is relatively new, this paper provides an overview of its methodology and step-by-step guidelines for conducting bibliometric analysis.

JOURNAL OF BUSINESS RESEARCH (2021)

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Review Chemistry, Analytical

Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges

Kostas Nizamis et al.

Summary: Recent advances in neural rehabilitation have opened up new research directions, utilizing technology and improved neurophysiological knowledge to address long-term disabilities caused by conditions such as spinal cord injury and muscular dystrophies. Emerging technologies and methodologies aim to enhance motor learning and involve non-technical individuals in the rehabilitation process, potentially leading to significant practical impact.

SENSORS (2021)

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Article Multidisciplinary Sciences

A brain-computer interface that evokes tactile sensations improves robotic arm control

Sharlene N. Flesher et al.

Summary: By using prosthetic arms controlled by a brain-computer interface and supplementing vision with tactile feedback, individuals with tetraplegia showed substantial improvement in performance. Mimicking known biological control principles resulted in task performance closer to able-bodied human abilities.

SCIENCE (2021)

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Editorial Material Chemistry, Analytical

Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice

Gerrit Ruben Hendrik Regterschot et al.

SENSORS (2021)

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Review Biotechnology & Applied Microbiology

Exploring the Use of Brain-Computer Interfaces in Stroke Neurorehabilitation

Siyu Yang et al.

Summary: With the advancement of artificial intelligence, brain-computer interfaces are being incorporated into the field of medical rehabilitation, attracting attention from various countries' strategic plans. BCIs offer comprehensive rehabilitation for stroke patients, covering areas such as motor, sensory, speech, cognitive, and environmental interactions in the realm of neurorehabilitation.

BIOMED RESEARCH INTERNATIONAL (2021)

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Article Cardiac & Cardiovascular Systems

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association

Salim S. Virani et al.

CIRCULATION (2020)

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Review Clinical Neurology

The global burden of neurological disorders: translating evidence into policy

Valery L. Feigin et al.

LANCET NEUROLOGY (2020)

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Article Engineering, Biomedical

Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison

Bojan Milosevic et al.

BIOMEDICAL ENGINEERING ONLINE (2020)

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Article Computer Science, Information Systems

Robot sensor system for supervised rehabilitation with real-time feedback

Md Assad Uz Zaman et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2020)

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Review Chemistry, Analytical

Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review

Lucas Medeiros Souza do Nascimento et al.

SENSORS (2020)

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Article Health Care Sciences & Services

Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery

Catherine Adans-Dester et al.

NPJ DIGITAL MEDICINE (2020)

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Editorial Material Clinical Neurology

The global burden of neurological disorders

William M. Carroll

LANCET NEUROLOGY (2019)

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Article Clinical Neurology

Global, regional, and national burden of neurological disorders, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016

Valery L. Feigin et al.

LANCET NEUROLOGY (2019)

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Review Clinical Neurology

Systematic Review on Kinematic Assessments of Upper Limb Movements After Stroke

Anne Schwarz et al.

STROKE (2019)

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Article Clinical Neurology

Efficacy of Home-Based Telerehabilitation vs In-Clinic Therapy for Adults After Stroke: A Randomized Clinical Trial

Steven C. Cramer et al.

JAMA NEUROLOGY (2019)

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Article Clinical Neurology

Beyond therapists: Technology-aided physical MS rehabilitation delivery

Peter Feys et al.

MULTIPLE SCLEROSIS JOURNAL (2019)

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Review Engineering, Biomedical

Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment

Pablo Maceira-Elvira et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2019)

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Article Chemistry, Analytical

Virtual Sensors for Advanced Controllers in Rehabilitation Robotics

Aitziber Mancisidor et al.

SENSORS (2018)

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Review Biophysics

Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

Eni Halilaj et al.

JOURNAL OF BIOMECHANICS (2018)

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Article Clinical Neurology

Exploring the Role of Accelerometers in the Measurement of Real World Upper-Limb Use After Stroke

Kathryn S. Hayward et al.

BRAIN IMPAIRMENT (2016)

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Article Computer Science, Interdisciplinary Applications

A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks

Lei Yu et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)

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Review Engineering, Biomedical

A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease

Catarina Godinho et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2016)

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Review Clinical Neurology

Guidelines for Adult Stroke Rehabilitation and Recovery A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

Carolee J. Winstein et al.

STROKE (2016)

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Review Management

A review of theory and practice in scientometrics

John Mingers et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)

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Article Neurosciences

Brain-machine interfaces in neurorehabilitation of stroke

Surjo R. Soekadar et al.

NEUROBIOLOGY OF DISEASE (2015)

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Article Clinical Neurology

Quantifying Real-World Upper-Limb Activity in Nondisabled Adults and Adults With Chronic Stroke

Ryan R. Bailey et al.

NEUROREHABILITATION AND NEURAL REPAIR (2015)

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Editorial Material Rehabilitation

Rethinking the Continuum of Stroke Rehabilitation

Robert W. Teasell et al.

ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION (2014)

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Review Engineering, Biomedical

Accelerometer measurement of upper extremity movement after stroke: a systematic review of clinical studies

Marika Noorkoiv et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2014)

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Review Engineering, Biomedical

Systematic review of Kinect applications in elderly care and stroke rehabilitation

David Webster et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2014)

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Review Engineering, Biomedical

A survey on robotic devices for upper limb rehabilitation

Pawel Maciejasz et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2014)

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Review Multidisciplinary Sciences

What Is the Evidence for Physical Therapy Poststroke? A Systematic Review and Meta-Analysis

Janne Marieke Veerbeek et al.

PLOS ONE (2014)

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Article Multidisciplinary Sciences

An Accelerometry-Based Methodology for Assessment of Real-World Bilateral Upper Extremity Activity

Ryan R. Bailey et al.

PLOS ONE (2014)

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Article Orthopedics

Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making

Catherine E. Lang et al.

JOURNAL OF HAND THERAPY (2013)

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Review Biotechnology & Applied Microbiology

Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace

Chaomei Chen et al.

EXPERT OPINION ON BIOLOGICAL THERAPY (2012)

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Article Neurosciences

Validity of the Microsoft Kinect for assessment of postural control

Ross A. Clark et al.

GAIT & POSTURE (2012)

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Review Engineering, Biomedical

A review of wearable sensors and systems with application in rehabilitation

Shyamal Patel et al.

JOURNAL OF NEUROENGINEERING AND REHABILITATION (2012)

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Article Medicine, General & Internal

Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke

Albert C. Lo et al.

NEW ENGLAND JOURNAL OF MEDICINE (2010)

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Article Engineering, Electrical & Electronic

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

Shyamal Patel et al.

PROCEEDINGS OF THE IEEE (2010)

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Article Computer Science, Information Systems

Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment

Loet Leydesdorff et al.

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2006)

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Article Multidisciplinary Sciences

Modularity and community structure in networks

M. E. J. Newman

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)

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Article Computer Science, Information Systems

CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature

CM Chen

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2006)

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