scholarly journals A public data set of human balance evaluations

2016 ◽  
Author(s):  
Damiana A Santos ◽  
Marcos Duarte
Keyword(s):  
Force Platform ◽  
Short Version ◽  
Rigid Surface ◽  
Data Set ◽  
Eyes Closed ◽  
Unstable Surface ◽  
Public Data ◽  
Eyes Open ◽  
Human Balance ◽  
Trail Making

The goal of this study was to create a public data set with results of qualitative and quantitative evaluations related to human balance. Subject’s balance was evaluated by posturography using a force platform and by the Mini Balance Evaluation Systems Tests. In the posturography test, we evaluated subjects during standing still for 60 s in four different conditions where vision and the standing surface were manipulated: on a rigid surface with eyes open; on a rigid surface with eyes closed; on an unstable surface with eyes open; on an unstable surface with eyes closed. Each condition was performed three times and the order of the conditions was randomized among subjects. In addition, the following tests were employed in order to better characterize each subject: Short Falls Efficacy Scale International; International Physical Activity Questionnaire Short Version; and Trail Making Test. The subjects were also interviewed to collect information about their socio-cultural, demographic, and health characteristics. The data set comprises signals from the force platform (raw data for the force, moments of forces, and centers of pressure) of 163 subjects plus one file with information about the subjects and balance conditions and the results of the other evaluations. All the data is available at PhysioNet ( DOI: 10.13026/C2WW2W ) and at Figshare ( DOI: 10.6084/m9.figshare.3394432 ).

scholarly journals A public data set of human balance evaluations

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2648 ◽  
Author(s):  
Damiana A. Santos ◽  
Marcos Duarte
Keyword(s):  
Force Platform ◽  
Short Version ◽  
Rigid Surface ◽  
Data Set ◽  
Eyes Closed ◽  
Unstable Surface ◽  
Public Data ◽  
Eyes Open ◽  
Human Balance ◽  
Trail Making

The goal of this study was to create a public data set with results of qualitative and quantitative evaluations related to human balance. Subject’s balance was evaluated by posturography using a force platform and by the Mini Balance Evaluation Systems Tests. In the posturography test, we evaluated subjects standing still for 60 s in four different conditions where vision and the standing surface were manipulated: on a rigid surface with eyes open; on a rigid surface with eyes closed; on an unstable surface with eyes open; on an unstable surface with eyes closed. Each condition was performed three times and the order of the conditions was randomized. In addition, the following tests were employed in order to better characterize each subject: Short Falls Efficacy Scale International; International Physical Activity Questionnaire Short Version; and Trail Making Test. The subjects were also interviewed to collect information about their socio-cultural, demographic, and health characteristics. The data set comprises signals from the force platform (raw data for the force, moments of forces, and centers of pressure) of 163 subjects plus one file with information about the subjects and balance conditions and the results of the other evaluations. All the data is available at PhysioNet and at Figshare.

scholarly journals A public data set of human balance evaluations

2016 ◽  
Author(s):  
Damiana A Santos ◽  
Marcos Duarte
Keyword(s):  
Force Platform ◽  
Short Version ◽  
Rigid Surface ◽  
Data Set ◽  
Eyes Closed ◽  
Unstable Surface ◽  
Public Data ◽  
Eyes Open ◽  
Human Balance ◽  
Trail Making

The goal of this study was to create a public data set with results of qualitative and quantitative evaluations related to human balance. Subject’s balance was evaluated by posturography using a force platform and by the Mini Balance Evaluation Systems Tests. In the posturography test, we evaluated subjects during standing still for 60 s in four different conditions where vision and the standing surface were manipulated: on a rigid surface with eyes open; on a rigid surface with eyes closed; on an unstable surface with eyes open; on an unstable surface with eyes closed. Each condition was performed three times and the order of the conditions was randomized among subjects. In addition, the following tests were employed in order to better characterize each subject: Short Falls Efficacy Scale International; International Physical Activity Questionnaire Short Version; and Trail Making Test. The subjects were also interviewed to collect information about their socio-cultural, demographic, and health characteristics. The data set comprises signals from the force platform (raw data for the force, moments of forces, and centers of pressure) of 163 subjects plus one file with information about the subjects and balance conditions and the results of the other evaluations. All the data is available at PhysioNet ( DOI: 10.13026/C2WW2W ) and at Figshare ( DOI: 10.6084/m9.figshare.3394432 ).

scholarly journals Haptic contact with a walking dog improves human balance during a quiet tandem task with various levels of difficulty

2021 ◽  
Vol 15 (3) ◽  
pp. 237-249
Author(s):  
Eliane Mauerberg-deCastro ◽  
Gabriella A. Figueiredo ◽  
Thayna P. Iasi ◽  
Debra F. Campbell ◽  
Renato Moraes
Keyword(s):  
Postural Control ◽  
Task Difficulty ◽  
Force Platform ◽  
Support Surface ◽  
Haptic Information ◽  
Dog Walking ◽  
Eyes Closed ◽  
Pulling Forces ◽  
Eyes Open ◽  
Human Balance

BACKGROUND: When a person walks a dog, information from variables of their own postural control is integrated with haptic information from the dog’s movements (e.g., direction, speed of movement, pulling forces). AIM: We examined how haptic information provided through contact with a moving endpoint (here, the leash of a dog walking on a treadmill) influenced an individual’s postural control during a quiet tandem standing task with and without restricted vision and under various elevations of the support surface (increased task difficulty levels). METHOD: Adults performed a 30-second quiet tandem stance task on a force platform while holding a leash attached to a dog who walked on a treadmill parallel to the force platform. Conditions included: haptic contact (dog and no-dog), vision constraint (eyes open, EO, and eyes closed, EC), and surfaces (4 heights). RESULTS: Interaction between haptic condition and vision showed that contact with the dog leash reduced root mean square (RMS) and mean sway speed (MSS). RMS showed that the highest surface had the greatest rate of sway reduction during haptic contact with EC, and an increase with EO. CONCLUSION: The dog’s movements were used as a haptic reference to aid balance when eyes were closed. In this condition, contact with the dog’s leash reduced the extent of sway variability on the higher surfaces.

scholarly journals A data set with kinematic and ground reaction forces of human balance

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3626 ◽  
Author(s):  
Damiana A. dos Santos ◽  
Claudiane A. Fukuchi ◽  
Reginaldo K. Fukuchi ◽  
Marcos Duarte
Keyword(s):  
Center Of Pressure ◽  
Reaction Force ◽  
Three Dimensional ◽  
Force Platform ◽  
Ground Reaction Forces ◽  
Data Set ◽  
Public Data ◽  
Human Balance ◽  
Reaction Forces ◽  
Young Subjects

This article describes a public data set containing the three-dimensional kinematics of the whole human body and the ground reaction forces (with a dual force platform setup) of subjects who were standing still for 60 s in different conditions, in which the subjects’ vision and the standing surface were manipulated. Twenty-seven young subjects and 22 old subjects were evaluated. The data set comprises a file with metadata plus 1,813 files with the ground reaction force (GRF) and kinematics data for the 49 subjects (three files for each of the 12 trials plus one file for each subject). The file with metadata has information about each subject’s sociocultural, demographic, and health characteristics. The files with the GRF have the data from each force platform and from the resultant GRF (including the center of pressure data). The files with the kinematics contain the three-dimensional positions of 42 markers that were placed on each subject’s body and 73 calculated joint angles. In this text, we illustrate how to access, analyze, and visualize the data set. All the data is available at Figshare (DOI:10.6084/m9.figshare.4525082), and a companion Jupyter Notebook presents programming code to access the data set, generate analyses and other examples. The availability of a public data set on the Internet that contains these measurements and information about how to access and process this data can potentially boost the research on human postural control, increase the reproducibility of studies, and be used for training and education, among other applications.

Reliability of Force-Platform Measures of Postural Sway and Expertise-Related Differences

2011 ◽  
Vol 20 (4) ◽  
pp. 442-456 ◽  
Author(s):  
Zohreh Meshkati ◽  
Mehdi Namazizadeh ◽  
Mahyar Salavati ◽  
Masood Mazaheri
Keyword(s):  
Outcome Measures ◽  
Postural Sway ◽  
Center Of Pressure ◽  
Intraclass Correlation ◽  
Specific Property ◽  
Force Platform ◽  
Quiet Standing ◽  
Eyes Closed ◽  
Before And After ◽  
Eyes Open

Context:Although reliability is a population-specific property, few studies have investigated the measurement error associated with force-platform parameters in athletic populations.Objective:To investigate the skill-related differences between athletes and nonathletes in reliability of center-of-pressure (COP) summary measures under eyes-open (EO) and eyes-closed (EC) conditions.Design:Test–retest reliability study.Setting:COP was recorded during double-leg quiet standing on a Kistler force platform before and after a fatiguing treadmill exercise, with EO and EC.Participants:31 male participants including 15 athletes practiced in karate and 16 nonathletes.Main Outcome Measures:Standard deviation (SD) of amplitude, phase-plane portrait, SD of velocity, mean total velocity, and area were calculated from 30-s COP data. Intraclass correlation coefficient (ICC), standard error of measurement, and coefficient of variation (CV) were used as estimates of reliability and precision.Results:Higher ICCs were found for COP measures in the athlete (compared with the nonathlete) group, postfatigued (compared with prefatigued) condition, and EC (compared with EO) tests. CVs smaller than 15% were obtained for most of the COP measures. SD of velocity in the anteroposterior direction showed the highest reliability in most conditions.Conclusions:Tests with EC and to a lesser extent tests performed in the athlete group and in the postfatigued condition showed better reliability.

scholarly journals Static Balance of Visually Impaired Athletes in Open and Closed Skill Sports

2017 ◽  
Vol 24 (1) ◽  
pp. 10-14 ◽  
Author(s):  
Grzegorz Bednarczuk ◽  
Ida Wiszomirska ◽  
Jolanta Marszałek ◽  
Izabela Rutkowska ◽  
Waldemar Skowroński
Keyword(s):  
Physical Activity ◽  
Visually Impaired ◽  
Body Posture ◽  
Posture Control ◽  
Static Balance ◽  
Motor Abilities ◽  
Eyes Closed ◽  
Unstable Surface ◽  
Eyes Open ◽  
Left And Right

AbstractIntroduction. In elite sport, athletes are required to maintain appropriate body posture control despite a number of destabilising factors. The functions of body posture control are monitored by the central nervous system that constantly receives information from the vestibular and somatosensory systems as well as from the visual analyser. Visual impairment may contribute to a decrease in the level of motor abilities and skills; however, it does not prevent visually impaired individuals from taking up physical activity. Therefore, this study sought to assess the static balance of visually impaired goalball players and shooters. Material and methods. The study included 37 goalball players and 20 shooters. A force platform was used to assess static balance. The study participants performed tests: standing on both feet with eyes open (BFEO) and closed (BFEC) (30 s), single left- and right-leg stance with eyes open (SLEO and SREO) as well as single left- and right-leg stance with eyes closed (SLEC and SREC). Statistical analyses were carried out using the following parameters: centre of pressure (CoP) path length [cm], CoP velocity [m/s], and the surface area of the stabilogram [cm2]. Results. No significant differences were found between goalball players and shooters in static balance levels. However, such differences were observed after taking into account the number of athletes who were capable of performing particular tests. Conclusions. The findings indirectly confirm that there is a correlation between the type of physical activity and balance levels in visually impaired individuals. Further research ought to include tests performed on an unstable surface.

scholarly journals A data set with kinematic and ground reaction forces of human balance

2017 ◽  
Author(s):  
Damiana A dos Santos ◽  
Claudiane A Fukuchi ◽  
Reginaldo K Fukuchi ◽  
Marcos Duarte
Keyword(s):  
Center Of Pressure ◽  
Reaction Force ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Force Platform ◽  
Whole Body ◽  
Ground Reaction Forces ◽  
Data Set ◽  
Public Data ◽  
Reaction Forces

This article describes a public data set with the three-dimensional kinematics of the whole body and the ground reaction forces (with a dual force platform setup) of subjects standing still for 60 s in different conditions, in which the vision and the standing surface were manipulated. Twenty-seven young subjects and 22 old subjects were evaluated. The data set comprises a file with metadata plus 1,813 files with the ground reaction force (GRF) and kinematics data for the 49 subjects (three files for each of the 12 trials plus one file for each subject). The file with metadata has information about each subject’s sociocultural, demographic, and health characteristics. The files with the GRF have the data from each force platform and from the resultant GRF (including the center of pressure data). The files with the kinematics have the three-dimensional position of the 42 markers used for the kinematic model of the whole body and the 73 calculated angles. In this text, we illustrate how to access, analyze, and visualize the data set. All the data is available at Figshare (DOI: 10.6084/m9.figshare.4525082 ), and a companion Jupyter Notebook (available at https://github.com/demotu/datasets ) presents the programming code to generate analyses and other examples.

scholarly journals Simultaneous near infrared spectroscopy and electroencephalography: a prospective screening tool for brain trauma / disease

2021 ◽  
Author(s):  
Joshua Lee
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Screening Tool ◽  
Brain Trauma ◽  
Alpha Power ◽  
Eyes Closed ◽  
Beta Power ◽  
Eyes Open ◽  
Trail Making

This thesis reports the development of a novel screening tool for brain trauma and disease using a headset capable of taking simultaneous measurements of electroencephalography (EEG) and functional near infrared spectroscopy (fNIRS) with a focus on developing the EEG side of the headset. Procedures for removing artifacts were developed for both modalities. The headset’s measurements were validated using a breath-holding task for fNIRS and an eyes open/eyes closed and trail making tasks for EEG. The eyes open/eyes closed (n=7) and trail making tasks (n=11) were further analyzed as potential tasks for use in screening. Integrated alpha power of EEG signals were found to provide robust differences between the eyes open/eyes closed states of the brain. Alpha power was also found to provide robust differences between rest and early trail making states in the trail making task, whereas, high beta power did not for either task.

scholarly journals A data set with kinematic and ground reaction forces of human balance

2017 ◽  
Author(s):  
Damiana A dos Santos ◽  
Claudiane A Fukuchi ◽  
Reginaldo K Fukuchi ◽  
Marcos Duarte
Keyword(s):  
Center Of Pressure ◽  
Reaction Force ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Force Platform ◽  
Whole Body ◽  
Ground Reaction Forces ◽  
Data Set ◽  
Public Data ◽  
Reaction Forces

This article describes a public data set with the three-dimensional kinematics of the whole body and the ground reaction forces (with a dual force platform setup) of subjects standing still for 60 s in different conditions, in which the vision and the standing surface were manipulated. Twenty-seven young subjects and 22 old subjects were evaluated. The data set comprises a file with metadata plus 1,813 files with the ground reaction force (GRF) and kinematics data for the 49 subjects (three files for each of the 12 trials plus one file for each subject). The file with metadata has information about each subject’s sociocultural, demographic, and health characteristics. The files with the GRF have the data from each force platform and from the resultant GRF (including the center of pressure data). The files with the kinematics have the three-dimensional position of the 42 markers used for the kinematic model of the whole body and the 73 calculated angles. In this text, we illustrate how to access, analyze, and visualize the data set. All the data is available at Figshare (DOI: 10.6084/m9.figshare.4525082 ), and a companion Jupyter Notebook (available at https://github.com/demotu/datasets ) presents the programming code to generate analyses and other examples.

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