Article
Orthopedics
Ilona J. M. de Rooij, Ingrid G. L. van de Port, Michiel Punt, Pim J. M. Abbink-van Moorsel, Michiel Kortsmit, Ruben P. A. van Eijk, Johanna M. A. Visser-Meily, Jan-Willem G. Meijer
Summary: The study found that virtual reality gait training was not significantly different from non-virtual reality gait training in improving participation in community-living people after stroke. Participants' experiences with VRT were positive, suggesting that VR training could be a valuable addition to stroke rehabilitation.
Article
Chemistry, Analytical
Eun Bin Kim, Songee Kim, Onseok Lee
Summary: The study developed a haptics-based rehabilitation tool for self-rehabilitation exercises in a virtual environment, and analyzed the training effectiveness.
Article
Multidisciplinary Sciences
Flavia Marrone, Massimiliano Pau, Luca Vismara, Micaela Porta, Matteo Bigoni, Bruno Leban, Serena Cerfoglio, Manuela Galli, Alessandro Mauro, Veronica Cimolin
Summary: The aim of this study was to assess inter-limb symmetry during gait in post-stroke patients using the synchronized cyclograms technique. The results showed that post-stroke patients had abnormal gait parameters and higher inter-limb symmetry compared to the control group. Achieving symmetry in gait is crucial for the rehabilitation of hemiplegic people.
Article
Biotechnology & Applied Microbiology
Brian Horsak, Mark Simonlehner, Lucas Schoeffer, Bernhard Dumphart, Arian Jalaeefar, Matthias Husinsky
Summary: The study found that walking in an overground VR environment may lead to changes in gait, including slower walking speed, changes in gait dynamics and mechanics, and increased variability in lower extremity gait kinematics and spatio-temporal parameters. These changes suggest an adaptation towards a more conservative or cautious gait.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Review
Chemistry, Analytical
Andrea Demeco, Laura Zola, Antonio Frizziero, Chiara Martini, Arrigo Palumbo, Ruben Foresti, Giovanni Buccino, Cosimo Costantino
Summary: In recent years, new technologies, such as fully immersive virtual reality (FIVR), have been applied in stroke rehabilitation alongside conventional techniques. This study aimed to investigate the effectiveness of FIVR in stroke rehabilitation. A total of 12 randomized controlled trials (RCTs) involving 350 post-acute and chronic stroke survivors were included, and the results showed that FIVR provides additional benefits compared to standard rehabilitation, improving upper limb dexterity, gait performance, and dynamic balance, and influencing patient independence. Therefore, FIVR represents a versatile rehabilitation tool that can improve treatment compliance and the functioning and quality of life of stroke survivors.
Review
Rehabilitation
Bohan Zhang, Ka Po Wong, Ruifu Kang, Shuojin Fu, Jing Qin, Qian Xiao
Summary: This study evaluated the effectiveness of robot-assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality in patients with stroke. The findings suggest that robot-assisted rehabilitation combined with virtual reality is most effective for improving balance, while virtual reality is beneficial for enhancing velocity and daily function in stroke patients.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2023)
Article
Medicine, General & Internal
Vishal Sana, Misbah Ghous, Muhammad Kashif, Abdulaziz Albalwi, Rashida Muneer, Mahnoor Zia
Summary: This study aimed to evaluate the comparative effects of vestibular rehabilitation with virtual reality on dizziness, balance, and gait in patients with subacute stroke. The randomized clinical trial involved 34 subacute stroke patients randomly assigned to 2 groups; 1 received vestibular rehabilitation therapy (VRT) and the other virtual reality (VR) treatment. The results showed that VR was more effective in improving balance and gait, while VRT was more effective in improving dizziness symptoms.
Article
Neurosciences
Chiara Palmisano, Peter Kullmann, Ibrahem Hanafi, Marta Verrecchia, Marc Erich Latoschik, Andrea Canessa, Martin Fischbach, Ioannis Ugo Isaias
Summary: The study introduced a fully-immersive virtual reality environment to simulate gait adaptation to environmental challenges. Results showed that when facing obstacles, subjects consistently reduced stride length and velocity while increasing stride duration, with adjustments in trunk inclination and trajectory deviation facilitating obstacle avoidance. This VR paradigm could be a powerful tool for researching gait modulation in relation to aging and clinical conditions.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Minjie Bian, Yuxian Shen, Yijie Huang, Lishan Wu, Yueyan Wang, Suyue He, Dongfeng Huang, Yurong Mao
Summary: This study evaluated the effectiveness of a non-immersive virtual reality intervention in improving lower extremity movement in patients with cerebral infarction. The results showed that the non-immersive virtual reality intervention had similar effectiveness to conventional therapies. It may be a valuable addition to conventional physical therapies to enhance treatment efficacy.
FRONTIERS IN NEUROLOGY
(2022)
Article
Medicine, Research & Experimental
Huihui Cai, Tao Lin, Lina Chen, Huidan Weng, Ruihan Zhu, Ying Chen, Guoen Cai
Summary: This study aims to evaluate the effect of immersive virtual reality-assisted rehabilitation on stroke patients' gait rehabilitation, compared to traditional methods.
Article
Engineering, Multidisciplinary
Magdalena Zuk, Magdalena Wojtkow, Michal Popek, Jakub Mazur, Katarzyna Bulinska
Summary: This study proposes two methods for describing lowerlimb joint kinematics using low-budget hardware accessories for VR headsets. The proposed system allows for the collection of complete kinematic data of the lower limb with comparable repeatability to advanced optoelectronic motion capture systems. The tools enable cost-effective analysis of kinematics in accordance with biomechanical research protocols and consistent with clinical practice.
Review
Medicine, General & Internal
Logan W. Gaudette, Molly M. Bradach, Jose Roberto de Souza Junior, Bryan Heiderscheit, Caleb D. Johnson, Joshua Posilkin, Mitchell J. Rauh, Lauren K. Sara, Lindsay Wasserman, Karsten Hollander, Adam S. Tenforde
Summary: This article discusses the relationship between running and injury, as well as the potential role of gait retraining in treating injured runners. Studies have shown that gait retraining in patients with specific pain syndromes can reduce pain and improve functionality.
JOURNAL OF CLINICAL MEDICINE
(2022)
Editorial Material
Computer Science, Information Systems
Francesco Arcuri, Camillo Porcaro, Irene Ciancarelli, Paolo Tonin, Antonio Cerasa
Summary: This review discusses the use of EEG as a neuroimaging method for extracting neuroplasticity in stroke patients undergoing VR rehabilitation, highlighting the challenges and potential benefits of combining VR therapy with EEG analysis.
Article
Computer Science, Information Systems
Caterina Piazza, Ileana Pirovano, Alfonso Mastropietro, Chiara Genova, Chiara Gagliardi, Anna Carla Turconi, Giorgia Malerba, Daniele Panzeri, Cristina Maghini, Gianluigi Reni, Giovanna Rizzo, Emilia Biffi
Summary: By integrating EEG and GRAIL systems, a successful multimodal analysis system was tested, which can synchronously record acquired signals and reliably identify the initial contact of each gait cycle, tested on healthy children and children with cerebral palsy, showing promising results.
Review
Rehabilitation
Jie Hao, Haoyu Xie, Kimberly Harp, Zhen Chen, Ka-Chun Siu
Summary: This article systematically reviews and examines the effects of virtual reality (VR)-based rehabilitation on neural plasticity changes in survivors of stroke. The main neurophysiological changes observed after VR intervention include improved interhemispheric balance, enhanced cortical connectivity, increased cortical mapping of the affected limb muscles, increased activation of regions in the frontal cortex, and possible involvement of the mirror neuron system. This suggests that VR-based rehabilitation has a positive impact on neural plasticity changes in stroke survivors.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2022)
Article
Multidisciplinary Sciences
Gloria Vergara-Diaz, Jean-Francois Daneault, Federico Parisi, Chen Admati, Christina Alfonso, Matilde Bertoli, Edoardo Bonizzoni, Gabriela Ferreira Carvalho, Gianluca Costante, Eric Eduardo Fabara, Naama Fixler, Fatemah Noushin Golabchi, John Growdon, Stefano Sapienza, Phil Snyder, Shahar Shpigelman, Lewis Sudarsky, Margaret Daeschler, Lauren Bataille, Solveig K. Sieberts, Larsson Omberg, Steven Moore, Paolo Bonato
Summary: The study aimed to evaluate if wearable sensor data can be used to accurately estimate limb-specific symptom severity in Parkinson's disease patients. Nineteen PD patients performed motor tasks during laboratory visits and used a smartphone app for periodic tasks at home.
Article
Multidisciplinary Sciences
Jean-Francois Daneault, Gloria Vergara-Diaz, Federico Parisi, Chen Admati, Christina Alfonso, Matilde Bertoli, Edoardo Bonizzoni, Gabriela Ferreira Carvalho, Gianluca Costante, Eric Eduardo Fabara, Naama Fixler, Fatemah Noushin Golabchi, John Growdon, Stefano Sapienza, Phil Snyder, Shahar Shpigelman, Lewis Sudarsky, Margaret Daeschler, Lauren Bataille, Solveig K. Sieberts, Larsson Omberg, Steven Moore, Paolo Bonato
Summary: Parkinson's disease is a neurodegenerative disorder with motor and non-motor symptoms. Current treatments focus on managing motor symptoms, but treatment side-effects may emerge. The Levodopa Response Study aimed to objectively quantify symptom severity in PD patients using wearable sensor data.
Article
Clinical Neurology
Anat Mirelman, Mor Ben Or Frank, Michal Melamed, Lena Granovsky, Alice Nieuwboer, Lynn Rochester, Silvia Del Din, Laura Avanzino, Elisa Pelosin, Bastiaan R. Bloem, Ugo Della Croce, Andrea Cereatti, Paolo Bonato, Richard Camicioli, Theresa Ellis, Jamie L. Hamilton, Chris J. Hass, Quincy J. Almeida, Maidan Inbal, Avner Thaler, Julia Shirvan, Jesse M. Cedarbaum, Nir Giladi, Jeffrey M. Hausdorff
Summary: This study utilized wearable sensors to record gait and mobility measures in PD patients and healthy controls, and applied machine-learning algorithms to distinguish between different stages of PD severity. The findings suggest that gait and mobility measures can reflect distinct PD stages with high discriminatory values.
MOVEMENT DISORDERS
(2021)
Article
Computer Science, Information Systems
Nan Ji, Ting Xiang, Paolo Bonato, Nigel H. Lovell, Sze-Yuan Ooi, David A. Clifton, Metin Akay, Xiao-Rong Ding, Bryan P. Yan, Vincent Mok, Dimitrios Fotiadis, Yuan-Ting Zhang
Summary: Prompt diagnosis and treatment are crucial in reducing mortality and morbidity in acute cardiovascular diseases, especially ST segment elevation myocardial infarction. During the COVID-19 pandemic, it is essential to balance cardiovascular emergencies with infectious risk. Utilizing wearable devices for early screening and real-time monitoring may improve patient management efficiency and effectiveness while reducing infection risk.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Biology
Chris Brooks, Nina Shaafi Kabiri, Jaspreet Bhangu, Xuemei Cai, Eve Pickering, Michael Kelley Erb, Sanford Auerbach, Paolo Bonato, Tara L. Moore, Farzad Mortazavi, Kevin Thomas
Summary: Circadian rhythms are regulated by a complex system that coordinates biological processes with the environment. Individual differences in behavioral timing, known as chronotypes, are influenced by social constructs like the 7-day week. Differences in sleep and rest-activity rhythms were observed between weekends and weekdays, with Eveningness and Morningness Chronotypes showing distinct patterns. This reinforces the importance of considering day of the week, chronotype, and their interactions in studies of human behavior and circadian rhythms.
CHRONOBIOLOGY INTERNATIONAL
(2021)
Article
Engineering, Biomedical
Sunghoon I. Lee, Catherine P. Adans-Dester, Anne T. OBrien, Gloria P. Vergara-Diaz, Randie Black-Schaffer, Ross Zafonte, Jennifer G. Dy, Paolo Bonato
Summary: The study shows that wearable technology combined with clinical data can accurately predict and monitor the recovery process. Using Gaussian Process Regression-based algorithms, models developed combining clinical and wearable sensor data can accurately predict individual responses to rehabilitation interventions.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Metin Akay, Shankar Subramaniam, Colin Brennan, Paolo Bonato, Charlotte Mae K. Waits, Bruce C. Wheeler, Dimitrios Fotiadis
Summary: This paper addresses the urgent need for biomedical engineers, clinicians, and healthcare industry leaders to collaborate in developing new diagnostics and treatments to combat the COVID-19 pandemic. It summarizes the discussions and new technologies presented at the IEEE EMBS Public Forum on COVID-19, focusing on healthcare, screening, tracing, and treatment. The paper also provides recent studies, statistics, and data, as well as new perspectives on ongoing and future challenges regarding the pandemic.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Psychology, Multidisciplinary
Ana Paula Quixada, Jose G. V. Miranda, Kamila Osypiuk, Paolo Bonato, Gloria Vergara-Diaz, Jennifer A. Ligibel, Wolf Mehling, Evan T. Thompson, Peter M. Wayne
Summary: This study aimed to assess the feasibility of objectively measuring posture and explore the relationship between posture and affect in breast cancer survivors with persistent postsurgical pain during a 12-week Qigong training. The preliminary findings provide support for considering emotions and patient-centered outcomes in an embodied framework, and highlight the potential of Qigong as an intervention for addressing complex biopsychosocial interventions such as persistent postsurgical pain in breast cancer survivors.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Brian Tracey, Shyamal Patel, Yao Zhang, Kara Chappie, Dmitri Volfson, Federico Parisi, Catherine Adans-Dester, Francesco Bertacchi, Paolo Bonato, Paul Wacnik
Summary: Voice analysis is an emerging technology that can provide low-cost, at-home monitoring of symptoms related to various health conditions. This study investigates the relationship between changes in voice acoustic features and self-reported symptoms during recovery from a flu-like illness, and suggests that acoustic features derived from voice recordings may serve as an objective measure for diagnosing and monitoring respiratory illnesses.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Article
Rehabilitation
Chris McGibbon, Andrew Sexton, Pearl Gryfe, Tilak Dutta, Arun Jayaraman, Susan Deems-Dluhy, Alison Novak, Eric Fabara, Catherine Adans-Dester, Paolo Bonato
Summary: This study evaluated the use of the Keeogo (TM) exoskeleton in people with multiple sclerosis (MS). The results showed that using the exoskeleton at home improved physical functioning and emotional well-being in the participants. These benefits were linked to the amount of device usage.
DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY
(2023)
Review
Engineering, Biomedical
Mouzzam Husain, Andrew Simpkin, Claire Gibbons, Tanya Talkar, Daniel Low, Paolo Bonato, Satrajit S. Ghosh, Thomas Quatieri, Derek T. O'Keeffe
Summary: This article explores the use of Artificial Intelligence (AI) technology for COVID-19 detection using cough, breathing, and speech recordings. The study finds that these methods have the potential to be an effective approach in detecting diseases related to respiratory and neurophysiological changes in the human body.
IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY
(2022)
Article
Rehabilitation
Chris McGibbon, Andrew Sexton, Arun Jayaraman, Susan Deems-Dluhy, Eric Fabara, Catherine Adans-Dester, Paolo Bonato, Francois Marquis, Sylvie Turmel, Etienne Belzile
Summary: A multi-site study evaluated the efficacy of the Keeogo exoskeleton for knee osteoarthritis patients, finding cumulative effects in improving stair time, pain, and function. Improved physical function showed a direct relationship with improved pain and stiffness, suggesting potential for greater usability with additional research.
ASSISTIVE TECHNOLOGY
(2022)
Proceedings Paper
Medicine, Research & Experimental
Rafhael M. Andrade, Stefano Sapienza, Eric E. Fabara, Paolo Bonato
Summary: Robotic rehabilitation strategies, such as using the Ex-oRoboWalker with trajectory tracking impedance control, have shown potential in partially restoring subjects' gait patterns and reducing user-robot interaction torques.
2021 INTERNATIONAL SYMPOSIUM ON MEDICAL ROBOTICS (ISMR)
(2021)
Meeting Abstract
Clinical Neurology
Federico Parisi, Paolo Bonato, Patrick Acuna, Criscely L. Go, Nutan Sharma, Christopher Stephen
Proceedings Paper
Computer Science, Information Systems
Paolo Bonato
Summary: Advancements in digital health technologies, such as wearable sensors and mhealth devices, have led to the collection of massive amounts of data in clinical and home settings; Machine learning capabilities have enabled the extraction of clinically meaningful information from these datasets; These technologies are reshaping the field of rehabilitation medicine by enabling more accurate and personalized interventions.
2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS)
(2021)
Article
Neurosciences
Nina Gras, Torsten Brauner, Scott Wearing, Thomas Horstmann
Summary: This study aimed to investigate the challenge posed by progressively unstable balance devices to bipedal stance during early functional rehabilitation in THA patients. The results showed that increasingly compliant balance pads provided a progressive challenge, while the challenge posed by the oscillating platform was lower and independent of the ability to stand independently.
Article
Neurosciences
Sharon M. H. Tsang, Evest H. W. Chan, Jason Y. H. Chan, Gladys P. Y. Huang, Kelly K. T. Lam, Eunice W. Y. Lam, Allan C. L. Fu, Eliza R. Sun
Summary: This study examined the differences in postural adjustments between erect, hyperlordotic, and swayback postures when facing external perturbations. The findings suggest that adopting hyperlordotic and swayback postures alters the contributions of the active and passive subsystems of the spine in postural control, potentially reducing the spine's ability to withstand loading and shear forces.
Article
Neurosciences
Hsin-yi Wang, Cheng-Yi Ho, Min-Chun Pan
Summary: This study investigated the differences in lumbar and hip movements during gait and muscle activities related to knee osteoarthritis (KOA) patients and healthy participants. The results showed that KOA patients used a hyperlordotic lumbar and hip flexed strategy, leading to excessive stress on the lower extremity joints during gait.
Article
Neurosciences
Yoshitaka Otani, Osamu Aoki
Summary: This study found that feelings of fear affect postural control but not the internal focus of attention. This finding may be useful in assessments and interventions for older adults with a fall risk.
Article
Neurosciences
Haruki Toda, Hiroaki Hobara, Mitsunori Tada
Summary: This study investigated sex differences in lower limb dynamic joint stiffness (DJS) during walking in older adults. The results showed that ankle DJS was lower in older women, which was caused by the reduced ankle plantarflexion moment. However, knee DJS did not elucidate the cause of knee osteoarthritis (OA) in older women.
Article
Neurosciences
Luis H. Cubillos, Elliott J. Rouse, Thomas E. Augenstein, Varun Joshi, Edward S. Claflin, Chandramouli Krishnan
Summary: The study found that the reliability of stiffness, viscosity, and inertia of the ankle joint was good to excellent during standing. During walking, the reliability of stiffness and viscosity was also good to excellent, while that of inertia was fair to good. The minimal detectable change (MDC) ranged widely, but was higher for inertia during walking.
Article
Neurosciences
Alexandra F. Dejong Lempke, Danielle L. Hunt, Sarah B. Willwerth, Pierre A. d'Hemecourt, William P. Meehan III, Kristin E. Whitney
Summary: Adolescent athletes alter their gait patterns throughout a marathon race, and there are correlations between biomechanical features and race performance among young marathoners.
Article
Neurosciences
Ali Esmaeili, Sayed Esmaeil Hosseininejad, Amirali Jafarnezhadgero, Valdeci Carlos Dionisio
Summary: This study investigates the effects of footwear type, navicular drop and ankle pronation on lower limb joint stiffness during running. The results show that navicular drop and dynamic ankle pronation do not affect joint stiffness, but footwear type significantly affects joint stiffness. Conventional footwear increases ankle and hip joint stiffness while reducing knee joint stiffness, which may have implications for injury risk.
Article
Neurosciences
Takahiro Watanabe, Tomoya Takabayashi, Takanori Kikumoto, Yudai Kikuchi, Shunsuke Suzuki, Shiori Hiratsuka, Masayoshi Kubo
Summary: This study suggests that there are differences in abductor hallucis activity between individuals with chronic ankle instability and ankle sprain copers, indicating neuromuscular dysfunction in these patients, which leads to pain and instability symptoms.
Letter
Neurosciences
Susan M. Linder, Mandy Miller Koop, Jay L. Alberts
Article
Neurosciences
Elza van Duijnhoven, Marit van der Veen, Fieke S. Koopman, Frans Nollet, Sjoerd M. Bruijn, Merel-Anne Brehm
Summary: Gait stability is impaired in polio survivors with plantarflexor weakness, characterized by increased step width and step length variability and lower MoSAP. These factors are related to the elevated energy cost of walking in polio survivors.
Article
Neurosciences
Rebecca Hemming, Alister du Rose, Liba Sheeran, Robert van Deursen, Valerie Sparkes
Summary: In a forward bending task, there is a relationship between trunk muscle activation and regional thoracic and lumbar kinematics in NSCLBP subgroups, indicating different motor control strategies adopted by different subgroups when performing bending tasks.
Review
Neurosciences
Carina Pohle, Linda Becker, Jochen Baumeister
Summary: This systematic review is the first to compile evidence on the effect of the menstrual cycle on postural control. The evidence regarding the influence of the menstrual cycle on postural control is unclear. However, a trend of decreased postural control from the early follicular phase to the ovulatory phase was observed in balance tasks that eliminated or altered sensory input.
