Review
Engineering, Biomedical
Sharon Fong Mei Toh, Kenneth N. K. Fong, Pablo Cruz Gonzalez, Yuk Ming Tang
Summary: This review examines the use of wearable technologies in self-directed rehabilitation in the home setting, specifically focusing on stroke rehabilitation. The review identifies interventions such as virtual reality, stimulation-based training, robotic therapy, and activity trackers that utilize wearable technologies. Evidence supports the effectiveness of stimulation-based training and activity trackers for upper limb rehabilitation, but is limited for virtual reality and inconsistent for robotic training. There is a lack of research on wearable technologies for lower limb rehabilitation. The importance of this topic deserves a rating of 8 out of 10.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Engineering, Biomedical
D. Flury, F. Masse, A. Paraschiv-Ionescu, K. Aminian, A. R. Luft, R. Gonzenbach
Summary: The study demonstrated the clinical value of sensor-derived information about daily life performance in tailoring rehabilitative therapy plans and counseling for individual stroke patients. Objective measures of daily life performance were found to be useful for therapeutic management and counseling, although further research is needed to assess their impact on rehabilitative therapy outcomes.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Mathematics
Cristian Gmez-Portes, Jose Jesus Castro-Schez, Javier Albusac, Dorothy N. Monekosso, David Vallejo
Summary: Stroke is a major cause of death and disability globally. Patients usually perform exercises at home for rehabilitation, but face challenges of remote supervision and dynamic adjustment of therapy plans. The use of a fuzzy system can automatically adapt rehabilitation plans for stroke patients, improving monitoring and guidance efficiency.
Article
Public, Environmental & Occupational Health
Chien-Hsiang Chang, Wei-Chih Lien, Tseng-Ping Chiu, Tai-Hua Yang, Chun-Chun Wei, Yu-Liang Kuo, Chung-Hsing Yeh, Bo Liu, Pin-Jun Chen, Yang-Cheng Lin
Summary: This study developed a novel smart somatosensory wearable assistive device (SSWAD) for home rehabilitation in older adults, combined with wireless sEMG and exergame technology. The SSWAD showed good usability and improved older adults' willingness to continue rehabilitation at home. Gender and prior rehabilitation experience had an impact on the performance and preference of the SSWAD.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Health Care Sciences & Services
Mohamed-Amine Choukou, Elizabeth He, Kelly Moslenko
Summary: Stroke rehabilitation is a necessary and lengthy process, but it may be inaccessible for rural patients due to barriers like transportation and expenses. Telerehabilitation provides a potential solution for stroke rehabilitation in rural areas. This case study demonstrates the feasibility and safety of a technology-enabled at-home telerehabilitation program for stroke survivors in a rural area in Canada.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Health Care Sciences & Services
Liquan Guo, Jiping Wang, Qunqiang Wu, Xinming Li, Bochao Zhang, Linfu Zhou, Daxi Xiong
Summary: This study aims to design a remote intelligent rehabilitation training system based on wearable devices and human-computer interaction training tasks, and to evaluate the effectiveness and safety of the remote rehabilitation training system for nonphysician-supervised motor rehabilitation training of patients with stroke through a clinical trial study. The results showed that the motor ability of the experimental group improved, indicating that the remote rehabilitation training system can replace routine clinical occupational therapy training.
JMIR MHEALTH AND UHEALTH
(2023)
Article
Chemistry, Analytical
Hanneke E. M. Braakhuis, Johannes B. J. Bussmann, Gerard M. Ribbers, Monique A. M. Berger
Summary: This study examines the use, perspectives, and barriers of physical therapists towards wearable activity monitoring in stroke care. Findings show that 27% of respondents are already using activity monitoring, with 86% of therapists perceiving it as useful for treatment purposes. Lack of skills and knowledge of patients and uncertainty in choosing monitor types are the main barriers to clinical implementation.
Article
Clinical Neurology
Edgar De Jesus Ramos Munoz, Veronica Ann Swanson, Christopher Johnson, Raeda K. Anderson, Amanda R. Rabinowitz, Daniel K. Zondervan, George H. Collier, David J. Reinkensmeyer
Summary: This study investigates the relationship between challenge level and perseverance and finds that an optimized challenge level and regular initiation of exercise sessions can predict achievement of a greater amount of overall rehabilitation exercise.
FRONTIERS IN NEUROLOGY
(2022)
Article
Engineering, Biomedical
Chieh-ling Yang, Rochelle Chui, W. Ben Mortenson, Peyman Servati, Amir Servati, Arvin Tashakori, Janice J. Eng
Summary: This study investigated the perspectives of clinicians, people living with stroke, and their caregivers on an interactive wearable system that detects upper extremity movements and provides feedback. The study findings revealed that the wearable system should be personalized, capable of monitoring compensatory trunk movements in addition to arm and hand movements, and able to measure both the quantity and quality of the affected limb movements. It was also highlighted that the system should prioritize functional activities in its design.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Clinical Neurology
Benedikt Taud, Robert Lindenberg, Robert Darkow, Jasmin Wevers, Dorothee Hoefflin, Ulrike Grittner, Marcus Meinzer, Agnes Floel
Summary: The study found that visuo-motor grip force tracking task training can facilitate upper extremity function recovery, but only minimal additional effects were observed with anodal tDCS.
FRONTIERS IN NEUROLOGY
(2021)
Article
Clinical Neurology
Heloise Debelle, Emma Packer, Esther Beales, Harry G. B. Bailey, Riona Mc Ardle, Philip Brown, Heather Hunter, Fabio Ciravegna, Neil Ireson, Jordi Evers, Martijn Niessen, Jian Qing Shi, Alison J. Yarnall, Lynn Rochester, Lisa Alcock, Silvia Del Din
Summary: This study investigates the feasibility and usability of a multi-component digital health technology system (DHTS) to remotely assess medication adherence and monitor mobility in people with Parkinson's disease. The results showed that participants found the DHTS highly acceptable and provided suggestions to improve its usability. The study demonstrated that DHTS can be used for remote assessment of medication adherence and mobility in Parkinson's disease patients.
FRONTIERS IN NEUROLOGY
(2023)
Review
Clinical Neurology
Yifan Yu, Yufang Chen, Teng Lou, Xia Shen
Summary: The meta-analysis revealed a significant correlation between proprioception and motor function in stroke patients. Proprioception measured in the axial segment under weight-bearing conditions or with ipsilateral matching showed a stronger correlation with motor function.
FRONTIERS IN NEUROLOGY
(2022)
Article
Chemistry, Analytical
Hongwu Wang, Mustafa Ghazi, Raghuveer Chandrashekhar, Josiah Rippetoe, Grace A. Duginski, Louis V. Lepak, Lisa R. Milhan, Shirley A. James
Summary: Stroke can lead to significant impairment of upper limb function and decreased quality of life. This study aims to design and develop a novel wearable device for upper limb rehabilitation in stroke survivors. A user participatory design approach was used, and the results may have important implications for stroke survivors and therapists.
Article
Health Care Sciences & Services
Sharon Fong Mei Toh, Pablo Cruz Gonzalez, Kenneth N. K. Fong
Summary: This study aimed to explore the usability of a wristwatch device called Smart reminder for home-based upper limb telerehabilitation for persons with stroke. The results demonstrated that the usability of the proposed wristwatch and telerehabilitation system was rated highly by the participants, with a high SUS mean score of 84.3 (12.3) and high therapy compliance rate (mean = 91%). Participants reported positive experiences with the wristwatch and indicated keenness to use it again.
Article
Environmental Sciences
Pin-Wei Chen, Nathan A. Baune, Igor Zwir, Jiayu Wang, Victoria Swamidass, Alex W. K. Wong
Summary: This study successfully developed a method for detecting ADL activities in stroke patients using machine learning algorithms and wearable sensors, achieving high accuracy levels. Results demonstrate that wearable technologies combined with ML algorithms can accurately predict ADL functioning in real-world settings, providing a promising direction for future ADL monitoring.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Review
Neurosciences
Maximilian J. Wessel, Laurijn R. Draaisma, Friedhelm C. Hummel
Summary: This narrative review summarizes current studies employing the cerebellar transcranial alternating current stimulation technique (CB-tACS) and discusses open research questions. CB-tACS may contribute to the understanding of cerebellar oscillatory signatures and their role in motor, cognitive, or affective functions. In the long term, CB-tACS could develop into a therapeutic tool for retuning disturbed oscillatory activity in cerebellar networks underlying brain disorders.
Editorial Material
Neurosciences
Thomas Carsten, Gerard Derosiere, Maximilian J. Wessel, Friedhelm C. Hummel, Julie Duque
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Engineering, Biomedical
Claudia Bigoni, Andeol Cadic-Melchior, Pierre Vassiliadis, Takuya Morishita, Friedhelm C. Hummel
Summary: This article presents a novel open-source algorithm for automated detection of motor evoked potential (MEP) latencies. The algorithm utilizes the first derivative of the post-stimulus electromyography signal to accurately identify the initial deflection of the MEP. Benchmarking tests using intra-class correlation coefficient (ICC) and effect sizes show that the algorithm performs comparably to human expert detection and outperforms currently available methods. The algorithm provides a promising approach for automated MEP latency detection under physiological and pathophysiological conditions.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Philipp J. Koch, Gabriel Girard, Julia Bruegger, Andeol G. Cadic-Melchior, Elena Beanato, Chang-Hyun Park, Takuya Morishita, Maximilian J. Wessel, Marco Pizzolato, Erick J. Canales-Rodriguez, Elda Fischi-Gomez, Simona Schiavi, Alessandro Daducci, Gian Franco Piredda, Tom Hilbert, Tobias Kober, Jean-Philippe Thiran, Friedhelm C. Hummel
Summary: This study compares the performance of two microstructure-informed Tractography methods and finds that although raw tractograms are vulnerable to false-positive connections, they have high reproducibility. Using these techniques can increase the biological meaning of estimated fascicles, and connectivity pre-processing techniques are important for improving subject specificity.
Review
Neurosciences
Johannes Burtscher, Mario Romani, Greta Bernardo, Traian Popa, Elena Ziviani, Friedhelm C. Hummel, Vincenzo Sorrentino, Gregoire P. Millet
Summary: Mitochondrial health is crucial for the treatment of neurodegenerative diseases, but current therapeutic strategies targeting specific mitochondrial stressors have not shown clear clinical benefits. Promoting the capacity of mitochondria and other cellular components to restore a healthy cellular environment is a promising alternative approach. This study provides a non-technical overview of neuroprotective strategies targeting mitochondria, focusing on top-down interventions such as metabolic modulators, exercise, dietary restriction, brain stimulation, and conditioning.
PROGRESS IN NEUROBIOLOGY
(2022)
Article
Multidisciplinary Sciences
Pablo Maceira-Elvira, Jan E. Timmermann, Traian Popa, Anne-Christine Schmid, John W. Krakauer, Takuya Morishita, Maximilian J. Wessel, Friedhelm C. Hummel
Summary: Recent imaging studies suggest that practicing a previously unknown motor sequence leads to consolidation of motor chunks, prioritizing the storage of spatial sequence features over rapid execution. The process is diminished in older adults but can be partially restored through transcranial direct current stimulation.
Article
Engineering, Biomedical
Claudia Bigoni, Andeol Cadic-Melchior, Takuya Morishita, Friedhelm C. Hummel
Summary: This study investigated the effects of different signal processing pipelines on brain-state forecasting approaches. The grid-search method was used to identify the most optimal preprocessing parameters and phase-forecasting algorithms. The results showed that different processing pipelines led to different results, and the chosen pipelines significantly increased the accuracy of forecasting methods. The successful results in stroke patients indicate the potential of state-dependent interventional treatment approaches.
JOURNAL OF NEURAL ENGINEERING
(2023)
Article
Neurosciences
Manon Durand-Ruel, Chang-hyun Park, Maeva Moyne, Pablo Maceira-Elvira, Takuya Morishita, Friedhelm C. Hummel
Summary: This study examined the brain dynamics of healthy older adults during motor skill learning and found that increased activation in secondary motor and associative areas accompanied practice, while visual and frontal areas were less recruited. Faster execution relied on parietal areas and inversely associated with frontal activation, whereas accuracy was related to activation in primary and secondary motor areas.
Article
Clinical Neurology
Giorgia G. Evangelista, Philip Egger, Julia Bruegger, Elena Beanato, Philipp J. Koch, Martino Ceroni, Lisa Fleury, Andeol Cadic-Melchior, Nathalie H. Meyer, Diego de Leon Rodriguez, Gabriel Girard, Bertrand Leger, Jean-Luc Turlan, Andreas Muehl, Philippe Vuadens, Jan Adolphsen, Caroline E. Jagella, Christophe Constantin, Vincent Alvarez, Diego San Millan, Christophe Bonvin, Takuya Morishita, Maximilian J. Wessel, Dimitri Van De Ville, Friedhelm C. Hummel
Summary: This study investigates the correlation between brain network connectivity and deficits in different domains in stroke patients. It finds that attentional deficits are more sensitive to disruption of coordinated networks, while motor deficits are more sensitive to disruption of localized networks. This study is of great importance for understanding stroke mechanisms.
Article
Multidisciplinary Sciences
Diego Milardovich, Victor H. Souza, Ivan Zubarev, Sergei Tugin, Jaakko O. Nieminen, Claudia Bigoni, Friedhelm C. Hummel, Juuso T. Korhonen, Dogu B. Aydogan, Pantelis Lioumis, Nima Taherinejad, Tibor Grasser, Risto J. Ilmoniemi
Summary: The study developed a deep learning-based algorithm, DELMEP, to automate the estimation of motor evoked potentials (MEPs) latency. The algorithm has low computational cost, allowing real-time MEP characterization, and shows high accuracy. This makes it a promising option for artificial intelligence-based personalized clinical applications.
SCIENTIFIC REPORTS
(2023)
Article
Clinical Neurology
Fabienne Windel, Remy Marc M. Gardier, Gaspard Fourchard, Roser Vinals, Daphne Bavelier, Frank Johannes Padberg, Elmars Rancans, Omer Bonne, Mor Nahum, Jean-Philippe Thiran, Takuya Morishita, Friedhelm Christoph Hummel
Summary: This study introduces an easy-to-use digital tool to support patients for self-application of non-invasive brain stimulation (NIBS) at home. The results demonstrate that the tool improves accuracy of electrode placement and provides positive user experience. This research supports the feasibility of correct NIBS self-application in home-based settings.
CLINICAL NEUROPHYSIOLOGY
(2023)
Article
Neurosciences
Maximilian J. Wessel, Elena Beanato, Traian Popa, Fabienne Windel, Pierre Vassiliadis, Pauline Menoud, Valeriia Beliaeva, Ines R. Violante, Hedjoudje Abderrahmane, Patrycja Dzialecka, Chang-Hyun Park, Pablo Maceira-Elvira, Takuya Morishita, Antonino M. Cassara, Melanie Steiner, Nir Grossman, Esra Neufeld, Friedhelm C. Hummel
Summary: This study demonstrates the successful noninvasive neuromodulation of the striatum using tTIS, which enhances motor performance by increasing activity in the striatum and associated motor network. This has important implications for understanding the functional role of deep brain structures and developing noninvasive treatment strategies for brain disorders related to these structures.
NATURE NEUROSCIENCE
(2023)
Article
Medicine, Research & Experimental
Claudia Bigoni, Elena Beanato, Sylvain Harquel, Julie Herve, Meltem Oflar, Andrea Crema, Arnau Espinosa, Giorgia G. Evangelista, Philipp Koch, Christophe Bonvin, Jean-Luc Turlan, Adrian Guggisberg, Takuya Morishita, Maximilian J. Wessel, Sarah B. Zandvliet, Friedhelm C. Hummel
Summary: This study aims to improve upper-limb impairment in stroke patients through a personalized-dosage cumulative intervention that combines various non-invasive neurotechnologies. The first patient in the study showed significant improvement in upper-limb movements and changes in brain structure and function. These promising results suggest the feasibility, safety, and potential efficacy of this personalized approach, and integrating multi-modal data may provide predictive information regarding treatment response and outcomes.
Article
Neurosciences
M. J. Wessel, L. R. Draaisma, M. Durand-Ruel, P. Maceira-Elvira, M. Moyne, J. -l. Turlan, A. Muhl, L. Chauvigne, P. J. Koch, T. Morishita, A. G. Guggisberg, F. C. Hummel
Summary: Impairment of hand motor function is common after a stroke and affects the ability to regain independent living. Combining behavioral training and non-invasive brain stimulation of the motor cortex can improve motor deficits. This study tested a novel approach by targeting the cortico-cerebellar system during learning. The application of this targeted stimulation strategy enhanced motor behavior during the early training phase in stroke survivors.
