Article
Chemistry, Analytical
Scott Pardoel, Gaurav Shalin, Julie Nantel, Edward D. Lemaire, Jonathan Kofman
Summary: The research developed a model using multiple sensors to predict freezing of gait, with the best overall model achieving 76.4% sensitivity and 86.2% specificity. It can detect onset of FOG within 1 second, improving mobility and independence for Parkinson's disease patients in an intelligent real-time system.
Article
Chemistry, Analytical
Luigi Borzi, Ivan Mazzetta, Alessandro Zampogna, Antonio Suppa, Gabriella Olmo, Fernanda Irrera
Summary: This study proposed a wearable system utilizing machine learning algorithms for FOG prediction, with the detection algorithm performing well in leave-one-subject-out validation. The classification algorithm for pre-FOG detection achieved high sensitivity and accuracy in leave-one-subject-out validation.
Article
Clinical Neurology
Victoria Sidoroff, Cecilia Raccagni, Christine Kaindlstorfer, Sabine Eschlboeck, Alessandra Fanciulli, Roberta Granata, Bjorn Eskofier, Klaus Seppi, Werner Poewe, Johann Willeit, Stefan Kiechl, Philipp Mahlknecht, Heike Stockner, Kathrin Marini, Oliver Schorr, Gregorio Rungger, Jochen Klucken, Gregor Wenning, Heiko Gassner
Summary: The study compared gait variability at different walking speeds between patients with Parkinson-variant multiple system atrophy, idiopathic Parkinson's disease, and a control group of older adults. Multiple system atrophy patients displayed higher gait variability in various parameters compared to controls, while Parkinson's patients did not. Variability parameters were significantly correlated with the postural instability/gait difficulty subscore in both disease groups.
JOURNAL OF NEUROLOGY
(2021)
Article
Biology
Yuzhu Guo, Debin Huang, Wei Zhang, Lipeng Wang, Yang Li, Gabriella Olmo, Qiao Wang, Fangang Meng, Piu Chan
Summary: This study proposes a wearable FoG detection method that combines acceleration and EEG information for accurate FoG detection. Experimental results show that pseudo-multimodal features achieve the most promising performance, with high detection accuracy and stability. The study suggests that wearable FoG detection can be enhanced through cross-modal information fusion, providing a new method for multimodal information fusion and long-term monitoring of FoG in living environments.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Automation & Control Systems
Luis Sigcha, Luigi Borzi, Ignacio Pavon, Nelson Costa, Susana Costa, Pedro Arezes, Juan Manuel Lopez, Guillermo De Arcas
Summary: This study presents advances in automatic FOG detection using wearable technology and artificial intelligence, which can accurately monitor freezing of gait in Parkinson's disease patients in real-time daily-life settings. The proposed FOG-Transformer classification algorithm showed significant improvement in FOG detection compared to existing machine and deep learning approaches.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Clinical Neurology
Wei Zhang, Hong Sun, Debin Huang, Zixuan Zhang, Jinyu Li, Chan Wu, Yingying Sun, Mengyi Gong, Zhi Wang, Chao Sun, Guiyun Cui, Yuzhu Guo, Piu Chan
Summary: This paper reviews the recent development of freezing of gait (FoG) detection and prediction using wearable sensors, and identifies knowledge gaps that need to be addressed in future research. Despite an increasing number of articles and improving performance, the application of FoG detection and prediction with wearable sensors is still hindered by small datasets and inconsistent evaluation processes.
NEUROLOGICAL SCIENCES
(2023)
Article
Clinical Neurology
Emily J. Hill, C. Grant Mangleburg, Isabel Alfradique-Dunham, Brittany Ripperger, Amanda Stillwell, Hiba Saade, Sindhu Rao, Oluwafunmiso Fagbongbe, Rainer von Coelln, Arjun Tarakad, Christine Hunter, Robert J. Dawe, Joseph Jankovic, Lisa M. Shulman, Aron S. Buchman, Joshua M. Shulman
Summary: Emerging technologies show promise for enhanced characterization of Parkinson's Disease (PD) motor manifestations, with wearable devices providing more accurate assessment of PD motor features compared to conventional methods.
PARKINSONISM & RELATED DISORDERS
(2021)
Article
Chemistry, Analytical
Cameron Diep, Johanna O'Day, Yasmine Kehnemouyi, Gary Burnett, Helen Bronte-Stewart
Summary: This study found that gait parameters measured from wearable IMUs can reliably detect and predict FOG in PD patients during SIP. It also demonstrated the variability of FOG behaviors for each individual, suggesting opportunities for personalized treatment.
Article
Biotechnology & Applied Microbiology
Jesus De Miguel-Fernandez, Miguel Salazar-Del Rio, Marta Rey-Prieto, Cristina Bayon, Lluis Guirao-Cano, Josep M. Font-Llagunes, Joan Lobo-Prat
Summary: This study validated the feasibility of using shank-worn IMUs for clinical gait analysis after stroke and evaluated their preliminary applicability in designing an automatic and adaptive controller for a knee exoskeleton. The results showed that IMUs have the potential to be used in designing automatic and adaptive exoskeleton control strategies for stroke patients.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Luigi Borzi, Luis Sigcha, Daniel Rodriguez-Martin, Gabriella Olmo
Summary: This work proposes a robust real-time freezing of gait detection algorithm that can be implemented in stand-alone devices working in non-supervised conditions, and has demonstrated good classification performance on data sets of Parkinson's disease patients and healthy elderly subjects.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2023)
Article
Engineering, Biomedical
Helena Cockx, Jorik Nonnekes, Bastiaan Bloem, Richard van Wezel, Ian Cameron, Ying Wang
Summary: This study aimed to investigate the reliability of heart rate and freezing index (FI) in predicting freezing of gait (FOG) in Parkinson's disease patients. The study found that FI was unable to distinguish FOG from voluntary stops, while heart rate change could differentiate between the two. The study suggests that combining a motion sensor with a heart rate monitor may improve the accuracy of FOG detection.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Neurosciences
J. Lucas McKay, Jonathan Nye, Felicia C. Goldstein, Barbara Sommerfeld, Yoland Smith, David Weinshenker, Stewart A. Factor
Summary: This study investigated the relationship between noradrenergic systems and freezing of gait in Parkinson's disease (PD). The findings suggest that the binding density of norepinephrine transporter is associated with freezing of gait. This has implications for the classification and treatment of freezing of gait.
NEUROBIOLOGY OF DISEASE
(2023)
Article
Clinical Neurology
Martina Mancini, Naoya Hasegawa, Daniel S. S. Peterson, Fay B. B. Horak, John G. G. Nutt
Summary: By using wearable sensors, researchers have developed an objective measure of freezing of gait (FoG) severity in Parkinson's disease patients and healthy controls. This Freezing Index can detect the continuum of FoG from absent to possible and severe. Unlike other impairments, the Freezing Index is significantly related to disease duration, severity, balance confidence, and cognitive impairment. It may be used to identify prodromal FoG before it is clinically observable or perceived by the patient.
JOURNAL OF NEUROLOGY
(2023)
Article
Neurosciences
Minji Son, Sang-Myung Cheon, Changhong Youm, Jae Woo Kim
Summary: This study comprehensively analyzed the walking characteristics of patients with PD and found that they had narrower step length, slower walking speed, and difficulties in turning. These characteristics were found to be associated with the severity of FoG.
Article
Biotechnology & Applied Microbiology
David S. May, Lauren E. Tueth, Gammon M. Earhart, Pietro Mazzoni
Summary: We assessed the performance of a wearable sensor-based FOG assessment method during in-clinic simulated real world activities and found an accuracy above 90% compared to expert review. We also determined the feasibility of using this method for unsupervised home use by correlating the %ATSF during home use with in-clinic activities. The results suggest that our sensor-based method may be useful for FOG assessment in the real world.
BIOENGINEERING-BASEL
(2023)
Article
Critical Care Medicine
Douglas N. Martini, Lucy Parrington, Samuel Stuart, Peter C. Fino, Laurie A. King
Summary: In chronic mild traumatic brain injury (mTBI) patients, gait is significantly affected under both single-task and dual-task conditions, with gait performance related to symptom severity. Future research should focus on exploring the physiological mechanisms underlying persistent symptoms and gait deficits in chronic mTBI patients.
JOURNAL OF NEUROTRAUMA
(2021)
Article
Neurosciences
Rodrigo Vitorio, Naoya Hasegawa, Patricia Carlson-Kuhta, John G. Nutt, Fay B. Horak, Martina Mancini, Vrutangkumar V. Shah
Summary: This study aimed to identify the best measures to distinguish between individuals with Parkinson's disease and healthy individuals based on dual-task gait and turning costs. The findings suggest that people with Parkinson's disease rely more on executive-attentional resources to control arm swing, foot strike, and turning, but not gait speed. Arm range of motion was found to be the most discriminative measure of dual-task costs between Parkinson's disease patients and healthy individuals.
JOURNAL OF PARKINSONS DISEASE
(2021)
Article
Neurosciences
Vrutangkumar V. Shah, James McNames, Graham Harker, Carolin Curtze, Patricia Carlson-Kuhta, Rebecca Spain, Mahmoud El-Gohary, Martina Mancini, Fay B. Horak
Summary: This study investigated the impact of different gait bout definitions on distinguishing walking quality between individuals with multiple sclerosis (MS) and healthy controls (HC) during daily life monitoring. The results showed that despite significant differences in total number of gait bouts across definitions, there was no difference in discriminating gait quality measures between MS and HC. Thus, gait quality measures in people with MS and controls can be compared across studies using different gait bout definitions with pause lengths ≤ 5 s.
Article
Computer Science, Artificial Intelligence
Y. Celik, S. Stuart, W. L. Woo, E. Sejdic, A. Godfrey
Summary: Gait abnormalities are often associated with neurological conditions or orthopaedic problems, leading to limited mobility and falls. Utilizing a multi-modal approach to gait analysis is crucial for identifying underlying deficits and developing effective rehabilitation programs. Wearable technology, such as sensors, plays a key role in providing reliable and extended gait analysis beyond traditional lab settings.
INFORMATION FUSION
(2022)
Article
Neurosciences
Delaram Safarpour, Marian L. Dale, Vrutangkumar V. Shah, Lauren Talman, Patricia Carlson-Kuhta, Fay B. Horak, Martina Mancini
Summary: This study explored the feasibility of using quantified data from wearable sensors as surrogate measures of MDS-UPDRS rigidity and PIGD subscores. Through both at-home and laboratory assessments of gait and balance, correlations between parameters such as number of walking bouts, turns, and postural sway with MDS-UPDRS subscores were identified. The results showed significant correlation between objective sensor data and clinical scores, paving the way for future larger studies evaluating the use of objective sensor data in supplementing remote MDS-UPDRS assessments.
Article
Neurosciences
Samuel Stuart, Alan Godfrey, Martina Mancini
Summary: The study found that the UpRight Go feedback device may improve neck/upper-back posture in PD during sitting and standing, but not during walking. Postural alignment response to the device may depend on attentional mechanisms.
Article
Orthopedics
Dylan Powell, Samuel Stuart, Alan Godfrey
Summary: Objective assessment of sports-related concussion (SRC) remains a challenge, and the reliance on self-reported symptoms limits the effectiveness of novel methods. Wearable technologies can provide additional objective data for monitoring players with SRC.
Article
Chemistry, Analytical
Vrutangkumar V. Shah, Carolin Curtze, Kristen Sowalsky, Ishu Arpan, Martina Mancini, Patricia Carlson-Kuhta, Mahmoud El-Gohary, Fay B. Horak, James McNames
Summary: This study developed an algorithm based on inertial sensors to estimate the total distance walked during a walking test, and tested the algorithm's validity and generalizability in two studies. The results showed that the algorithm accurately estimated the total distance walked and has potential clinical applications.
Review
Chemistry, Analytical
Anthony Dever, Dylan Powell, Lisa Graham, Rachel Mason, Julia Das, Steven J. Marshall, Rodrigo Vitorio, Alan Godfrey, Samuel Stuart
Summary: This article examines the objective assessment of gait impairments across the spectrum of traumatic brain injury (TBI). After searching databases for relevant research articles, 13 studies were included in the review. The findings suggest that gait impairments exist in patients with mild, moderate, and severe TBI, but methodological limitations were found in all studies. The authors recommend future studies to establish a standardized gait assessment procedure and consistent protocols to determine gait impairment in TBI.
Article
Chemistry, Analytical
Ishu Arpan, Vrutangkumar V. Shah, James McNames, Graham Harker, Patricia Carlson-Kuhta, Rebecca Spain, Mahmoud El-Gohary, Martina Mancini, Fay B. Horak
Summary: This study investigated the potential of passive monitoring of gait and turning in daily life to identify individuals with multiple sclerosis (PwMS) who are at risk of falls. The study found that objective monitoring of gait and turning can predict future falls, with the pitch at toe-off being the most significant predictor. This suggests that interventions aimed at improving muscle strength and range of motion may benefit individuals at risk of falls.
Article
Chemistry, Analytical
Farahnaz Fallahtafti, Sjoerd Bruijn, Arash Mohammadzadeh Gonabadi, Mohammad Sangtarashan, Julie Blaskewicz Boron, Carolin Curtze, Ka-Chun Siu, Sara A. Myers, Jennifer Yentes
Summary: Response to challenging situations is important to prevent falls, especially after medical disturbances that require active control. The relationship between trunk motion in response to disturbances and gait stability has not been well studied.