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Netukova S, Horakova L, Szabo Z, Krupicka R. Beyond timing and step counting in 360° turning-in-place assessment: a scoping review. Biomed Eng Online 2024; 23:13. [PMID: 38297359 PMCID: PMC10832107 DOI: 10.1186/s12938-024-01208-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 01/22/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Turning in place is a challenging motor task and is used as a brief assessment test of lower limb function and dynamic balance. This review aims to examine how research of instrumented analysis of turning in place is implemented. In addition to reporting the studied population, we covered acquisition systems, turn detection methods, quantitative parameters, and how these parameters are computed. METHODS Following the development of a rigorous search strategy, the Web of Science and Scopus were systematically searched for studies involving the use of turning-in-place. From the selected articles, the study population, types of instruments used, turn detection method, and how the turning-in-place characteristics were calculated. RESULTS Twenty-one papers met the inclusion criteria. The subject groups involved in the reviewed studies included young, middle-aged, and older adults, stroke, multiple sclerosis and Parkinson's disease patients. Inertial measurement units (16 studies) and motion camera systems (5 studies) were employed for gathering measurement data, force platforms were rarely used (2 studies). Two studies used commercial software for turn detection, six studies referenced previously published algorithms, two studies developed a custom detector, and eight studies did not provide any details about the turn detection method. The most frequently used parameters were mean angular velocity (14 cases, 7 studies), turn duration (13 cases, 13 studies), peak angular velocity (8 cases, 8 studies), jerkiness (6 cases, 5 studies) and freezing-of-gait ratios (5 cases, 5 studies). Angular velocities were derived from sensors placed on the lower back (7 cases, 4 studies), trunk (4 cases, 2 studies), and shank (2 cases, 1 study). The rest (9 cases, 8 studies) did not report sensor placement. Calculation of the freezing-of-gait ratio was based on the acceleration of the lower limbs in all cases. Jerkiness computation employed acceleration in the medio-lateral (4 cases) and antero-posterior (1 case) direction. One study did not reported any details about jerkiness computation. CONCLUSION This review identified the capabilities of turning-in-place assessment in identifying movement differences between the various subject groups. The results, based on data acquired by inertial measurement units across studies, are comparable. A more in-depth analysis of tests developed for gait, which has been adopted in turning-in-place, is needed to examine their validity and accuracy.
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Affiliation(s)
- Slavka Netukova
- Faculty of Biomedical Engineering, Department of Biomedical Informatics, Czech Technical University, Nam Sitna 3105, Prague, Czech Republic.
| | - Lucie Horakova
- Faculty of Biomedical Engineering, Department of Biomedical Informatics, Czech Technical University, Nam Sitna 3105, Prague, Czech Republic
| | - Zoltan Szabo
- Faculty of Biomedical Engineering, Department of Biomedical Informatics, Czech Technical University, Nam Sitna 3105, Prague, Czech Republic
| | - Radim Krupicka
- Faculty of Biomedical Engineering, Department of Biomedical Informatics, Czech Technical University, Nam Sitna 3105, Prague, Czech Republic
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Netukova S, Bizovska L, Krupicka R, Szabo Z. The relationship between the local dynamic stability of gait to cognitive and physical performance in older adults: A scoping review. Gait Posture 2024; 107:49-60. [PMID: 37734191 DOI: 10.1016/j.gaitpost.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 06/05/2023] [Accepted: 09/13/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Local dynamic stability (LDS) has become accepted as a gait stability indicator. The deterioration of gait stability is magnified in older adults. RESEARCH QUESTION What is the current state in the field regarding rthe relationship between LDS and cognitive and/or physical function in older adults? METHODS A scoping review design was used to search for peer-reviewed literature or conference proceedings published through May 2023 for an association between LDS and cognitive (e.g., Montreal Cognitive Assessment) or physical performance (e.g., Timed Up & Go Test) in older adults. Only studies investigating gait stability via LDS during controlled walking, when dealing with a subject group consisting of healthy older adults, and quantifying LDS relationship to cognitive and/or physical measure were included. We analysed data from the studies in a descriptive manner. RESULTS In total, 814 potentially relevant articles were selected, of which 15 met the inclusion criteria. We identified 37 LDS quantifiers employed in LDS-cognition and/or LDS-physical performance relationship assessment. Nine measures of cognitive and 20 measures of physical performance were analysed. Most studies estimated LDS quantities using triaxial acceleration data. However, there was a variance in sensor placement and signal direction. Out of the 56 studied relationships of LDS to physical performance measures, sixteen were found to be relevant. Out of 22 studied relationships between LDS and cognitive measures, only two were worthwhile. SIGNIFICANCE Considering the heterogeneity of the utilized LDS (caused by different sensors locations, signals, and signal directions as well as variety of computational approaches to estimate LDS) and cognitive/physical measures, the results of this scoping review does not indicate a current need for a systematic review with meta-analysis. To assess the overall utility of LDS to reveal a relationship between LDS to cognitive and physical performance measures, an analysis of other subject groups would be appropriate.
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Affiliation(s)
- Slavka Netukova
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic.
| | - Lucia Bizovska
- Department of Natural Sciences in Kinanthropology, Faculty of Physical Culture, Palacky University Olomouc, Olomouc, Czech Republic
| | - Radim Krupicka
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic
| | - Zoltan Szabo
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic
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Viteckova S, Rusz J, Krupicka R, Dusek P, Růžička E. Instrumental analysis of gait abnormalities in idiopathic rapid eye movement sleep behavior disorder. Mov Disord 2020; 35:193-195. [PMID: 31965630 DOI: 10.1002/mds.27938] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 11/01/2019] [Accepted: 11/06/2019] [Indexed: 01/16/2023] Open
Affiliation(s)
- Slavka Viteckova
- Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Jan Rusz
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic.,Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic
| | - Radim Krupicka
- Faculty of Biomedical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Petr Dusek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
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Viteckova S, Khandelwal S, Kutilek P, Krupicka R, Szabo Z. Gait symmetry methods: Comparison of waveform-based Methods and recommendation for use. Biomed Signal Process Control 2020. [DOI: 10.1016/j.bspc.2019.101643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Klempir O, Krupicka R, Mehnert J, Cejka V, Polakova K, Brozova H, Szabo Z, Ruzicka E, Jech R. Reshaping cortical activity with subthalamic stimulation in Parkinson's disease during finger tapping and gait mapped by near infrared spectroscopy. J Appl Biomed 2019; 17:157-166. [PMID: 34907697 DOI: 10.32725/jab.2019.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/19/2019] [Indexed: 11/05/2022] Open
Abstract
Exploration of motor cortex activity is essential to understanding the pathophysiology in Parkinson's Disease (PD), but only simple motor tasks can be investigated using a fMRI or PET. We aim to investigate the cortical activity of PD patients during a complex motor task (gait) to verify the impact of deep brain stimulation in the subthalamic nucleus (DBS-STN) by using Near-Infrared-Spectroscopy (NIRS). NIRS is a neuroimaging method of brain cortical activity using low-energy optical radiation to detect local changes in (de)oxyhemoglobin concentration. We used a multichannel portable NIRS during finger tapping (FT) and gait. To determine the signal activity, our methodology consisted of a pre-processing phase for the raw signal, followed by statistical analysis based on a general linear model. Processed recordings from 9 patients were statistically compared between the on and off states of DBS-STN. DBS-STN led to an increased activity in the contralateral motor cortex areas during FT. During gait, we observed a concentration of activity towards the cortex central area in the "stimulation-on" state. Our study shows how NIRS can be used to detect functional changes in the cortex of patients with PD with DBS-STN and indicates its future use for applications unsuited for PET and a fMRI.
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Affiliation(s)
- Ondrej Klempir
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Department of Biomedical Informatics, Kladno, Czech Republic
| | - Radim Krupicka
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Department of Biomedical Informatics, Kladno, Czech Republic
| | - Jan Mehnert
- University Medical Center Eppendorf, Department of Systems Neuroscience, Hamburg, Germany.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Vaclav Cejka
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Department of Biomedical Informatics, Kladno, Czech Republic.,Charles University, First Faculty of Medicine and General University Hospital, Department of Neurology, Prague, Czech Republic
| | - Kamila Polakova
- Charles University, First Faculty of Medicine and General University Hospital, Department of Neurology, Prague, Czech Republic
| | - Hana Brozova
- Charles University, First Faculty of Medicine and General University Hospital, Department of Neurology, Prague, Czech Republic
| | - Zoltan Szabo
- Czech Technical University in Prague, Faculty of Biomedical Engineering, Department of Biomedical Informatics, Kladno, Czech Republic
| | - Evzen Ruzicka
- Charles University, First Faculty of Medicine and General University Hospital, Department of Neurology, Prague, Czech Republic
| | - Robert Jech
- Charles University, First Faculty of Medicine and General University Hospital, Department of Neurology, Prague, Czech Republic
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Viteckova S, Krupicka R, Cejka V, Kutilek P, Szabo Z, Růžička E, Dusek P. Waveform skewness: Parameter for timed Up & Go turn assessment. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.04.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Viteckova S, Cejka V, Dusek P, Krupicka R, Kutilek P, Szabo Z, Růžička E. Extended Timed Up & Go test: Is walking forward and returning back to the chair equivalent gait? J Biomech 2019; 89:110-114. [PMID: 30982536 DOI: 10.1016/j.jbiomech.2019.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 03/22/2019] [Accepted: 04/02/2019] [Indexed: 10/27/2022]
Abstract
The Timed Up & Go test (TUG) is functional test and is a part of routine clinical examinations. The instrumented Timed Up & Go test enables its segmentation to sub-tasks: sit-to-stand, walking forward, turning, walking back, stand-to-sit, and consequently the computation of task-specific parameters and sub-tasks separately. However, there are no data on whether walking forward parameters differ from the walking back parameters. This study tested the differences between walking forward and walking back in the TUG extended to 10 m for 17 spatio-temporal gait parameters. All parameters were obtained from a GAITRite® pressure sensitive walkway (CIR Systems, Inc.). The differences were assessed for healthy controls and Parkinson's disease (PD) patients. None of investigated parameters exhibited a difference between both gait subtasks for healthy subjects group. Five parameters of interest, namely velocity, step length, stride length, stride velocity, and the proportion of the double support phase with respect to gait cycle duration, showed a statistically significant difference between gait for walking forward and walking back in PD patients. Therefore, we recommend a separate assessment for walking forward and walking back rather than averaging both gaits together.
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Affiliation(s)
- Slavka Viteckova
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic.
| | - Vaclav Cejka
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic.
| | - Petr Dusek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
| | - Radim Krupicka
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic.
| | - Patrik Kutilek
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic.
| | - Zoltan Szabo
- Faculty of Biomedical Engineering, Czech Technical University in Prague, nam Sitna 3105, Czech Republic.
| | - Evžen Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
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Bohuslavova B, Kucerova S, Macakova M, Klempir J, Lavickova R, Krupicka R, Kauler J, Baxa M, Ellederova Z, Motlik J. C11 Behavioural studies in Libechov minipigs with huntington’s disease; changes in behaviour, motor skills and learning. J Neurol Neurosurg Psychiatry 2016. [DOI: 10.1136/jnnp-2016-314597.91] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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