scholarly journals The Relationship Between Spatio-temporal Gait Parameters and Cognitive Function: Protocol for a Cross-sectional Study

2021 ◽  
Author(s):  
Tatsuya Fukuoka ◽  
Shun Irie ◽  
Yoshiteru Watanabe ◽  
Toshiki Kutsuna ◽  
Akiko Abe
Keyword(s):  
Cognitive Function ◽  
Cognitive Performance ◽  
Motion Capture ◽  
Three Dimensional ◽  
Measurement Unit ◽  
Motion Capture System ◽  
Large Sample ◽  
Cognitive Risk ◽  
Computer Based ◽  
The Relationship

Abstract BackgroundMotor dysfunctions, such as slower walking speed, precede the occurrence of dementia and mild cognitive impairment, suggesting that walking parameters may be effective biomarkers for detecting early sub-clinical cognitive risk. In fact, while our preliminary study had a small sample, we found several walking parameters obtained by three-dimensional motion capture system, to be correlated with computer-based assessments of various cognitive function modalities. The Cognitive-Gait (CoGait) Database Project, described in the current protocol, aims to establish a database of multi-dimensional walking and cognitive performance data, collected from a large sample of healthy participants, crucial for detecting early sub-clinical cognitive risk. Methods: The study will recruit healthy volunteers, 20 years or older, without any neurological or musculoskeletal disorders. The estimated sample size is 450 participants, including a 10% attrition rate. Using computer-based cognitive assessments, all participants will perform six tasks: (i) the simple reaction time task, (ii) Go/No-Go task, (iii) Stroop Color–Word Test, (iv) N-back test, (v) Trail making test, and (vi) Digit Span test. Gait will be measured through joint kinematics and global positioning in participants’ lower legs, using pants with an inertial measurement unit-based three-dimensional motion capture system, while walking at a comfortable and faster pace. Finally, we will establish a prediction model for various cognitive performance modalities, based on walking performance. Discussion: This will be the first study to reveal the relationship between walking and cognitive performance using multi-dimensional data collected from a large sample of healthy adults, from the general population. Although there are several methodological limitations, such as accuracy of measurements, the CoGait database is expected to be the standard value for both walking and cognitive functions, supporting the evaluation of psychomotor function in early sub-clinical cognitive risk, including motoric-cognitive risk syndrome.Trial registration: None.

scholarly journals Validation of Inertial Measurement Units for Upper Body Kinematics

2017 ◽  
Vol 33 (3) ◽  
pp. 227-232 ◽  
Author(s):  
Melissa M.B. Morrow ◽  
Bethany Lowndes ◽  
Emma Fortune ◽  
Kenton R. Kaufman ◽  
M. Susan Hallbeck
Keyword(s):  
Motion Capture ◽  
Three Dimensional ◽  
Elbow Flexion ◽  
Upper Body ◽  
Measurement Unit ◽  
Motion Capture System ◽  
Trunk Flexion ◽  
Inertial Measurement ◽  
Flexion Extension ◽  
Shoulder Elevation

The purpose of this study was to validate a commercially available inertial measurement unit (IMU) system against a standard lab-based motion capture system for the measurement of shoulder elevation, elbow flexion, trunk flexion/extension, and neck flexion/extension kinematics. The validation analyses were applied to 6 surgical faculty members performing a standard, simulated surgical training task that mimics minimally invasive surgery. Three-dimensional joint kinematics were simultaneously recorded by an optical motion capture system and an IMU system with 6 sensors placed on the head, chest, and bilateral upper and lower arms. The sensor-to-segment axes alignment was accomplished manually. The IMU neck and trunk IMU flexion/extension angles were accurate to within 2.9 ± 0.9 degrees and 1.6 ± 1.1°, respectively. The IMU shoulder elevation measure was accurate to within 6.8 ± 2.7° and the elbow flexion measure was accurate to within 8.2 ± 2.8°. In the Bland-Altman analyses, there were no significant systematic errors present; however, there was a significant inversely proportional error across all joints. As the gold standard measurement increased, the IMU underestimated the magnitude of the joint angle. This study reports acceptable accuracy of a commercially available IMU system; however, results should be interpreted as protocol specific.

Sleep symptomatology is associated with greater subjective cognitive concerns: Findings from the community-based Healthy Brain Project

SLEEP ◽  
2021 ◽  
Author(s):  
Jessica Nicolazzo ◽  
Katharine Xu ◽  
Alexandra Lavale ◽  
Rachel Buckley ◽  
Nawaf Yassi ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Sleep Quality ◽  
Cognitive Performance ◽  
Sex Education ◽  
Severity Index ◽  
Analysis Of Covariance ◽  
Psychomotor Function ◽  
Community Based ◽  
The Relationship ◽  
Insomnia Severity

Abstract Study objectives To examine if sleep symptomatology was associated with subjective cognitive concerns or objective cognitive performance in a dementia-free community-based sample. Methods A total of 1421 middle-aged participants (mean±standard deviation = 57±7; 77% female) from the Healthy Brain Project completed the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Epworth Sleepiness Scale (ESS) to measure sleep quality, insomnia symptom severity, and daytime sleepiness, respectively. Participants were classified as having no sleep symptomatology (normal scores on each sleep measure), moderate sleep symptomatology (abnormal scores on one sleep measure), or high sleep symptomatology (abnormal scores on at least two sleep measures), using established cut-off values. Analysis of covariance was used to compare objective cognitive function (Cogstate Brief Battery) and subjective cognitive concerns (Modified Cognitive Function Instrument) across groups. Results Following adjustments for age, sex, education, mood, and vascular risk factors, persons classified as having high sleep symptomatology, versus none, displayed more subjective cognitive concerns (d=0.24) but no differences in objective cognitive performance (d=0.00-0.18). Subjective cognitive concerns modified the association between sleep symptomatology and psychomotor function. The strength of the relationship between high sleep symptomatology (versus none) and psychomotor function was significantly greater in persons with high as compared with low cognitive concerns (β±SE =-0.37±0.16; p=0.02). Conclusions More severe sleep symptomatology was associated with greater subjective cognitive concerns. Persons reporting high levels of sleep symptomatology may be more likely to display poorer objective cognitive function in the presence of subjective cognitive concerns.

A Low-Dimensional Dissimilarity Analysis of Unilateral and Bilateral Stroke-Impacted Hand Trajectories

2016 ◽  
Vol 138 (11) ◽  
Author(s):  
Jay Ryan U. Roldan ◽  
Dejan Milutinović ◽  
Zhi Li ◽  
Jacob Rosen
Keyword(s):  
Multidimensional Scaling ◽  
Healthy Subject ◽  
Motion Capture ◽  
Early Phase ◽  
Three Dimensional ◽  
High Rate ◽  
Motion Capture System ◽  
Trajectory Data ◽  
The Difference ◽  
Low Dimensional

In this paper, we propose a quantitative approach based on identifying hand trajectory dissimilarities through the use of a multidimensional scaling (MDS) analysis. A high-rate motion capture system is used to gather three-dimensional (3D) trajectory data of healthy and stroke-impacted hemiparetic subjects. The mutual dissimilarity between any two trajectories is measured by the area between them. This area is used as a dissimilarity variable to create an MDS map. The map reveals a structure for measuring the difference and variability of individual trajectories and their groups. The results suggest that the recovery of hemiparetic subjects can be quantified by comparing the difference and variability of their individual MDS map points to the points from the cluster of healthy subject trajectories. Within the MDS map, we can identify fully recovered patients, those who are only functionally recovered, and those who are either in an early phase of, or are nonresponsive to the therapy.

A Mobile Motion Capture System Based on Inertial Sensors and Smart Shoes

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Pyeong-Gook Jung ◽  
Sehoon Oh ◽  
Gukchan Lim ◽  
Kyoungchul Kong
Keyword(s):  
Motion Capture ◽  
Inertial Sensors ◽  
Kinematic Model ◽  
Three Dimensional ◽  
Health Condition ◽  
Body Motion ◽  
Whole Body ◽  
Motion Capture System ◽  
Outdoor Sports ◽  
Motion Capture Systems

Motion capture systems play an important role in health-care and sport-training systems. In particular, there exists a great demand on a mobile motion capture system that enables people to monitor their health condition and to practice sport postures anywhere at any time. The motion capture systems with infrared or vision cameras, however, require a special setting, which hinders their application to a mobile system. In this paper, a mobile three-dimensional motion capture system is developed based on inertial sensors and smart shoes. Sensor signals are measured and processed by a mobile computer; thus, the proposed system enables the analysis and diagnosis of postures during outdoor sports, as well as indoor activities. The measured signals are transformed into quaternion to avoid the Gimbal lock effect. In order to improve the precision of the proposed motion capture system in an open and outdoor space, a frequency-adaptive sensor fusion method and a kinematic model are utilized to construct the whole body motion in real-time. The reference point is continuously updated by smart shoes that measure the ground reaction forces.

Estimating Putting Outcomes in Golf: Experts Have a Better Sense of Distance

2018 ◽  
Vol 125 (2) ◽  
pp. 313-328 ◽  
Author(s):  
Hideyuki Tanaka ◽  
Masato Iwami
Keyword(s):  
Motion Capture ◽  
Partial Correlation ◽  
Control Variable ◽  
Absolute Error ◽  
Estimation Accuracy ◽  
Motion Capture System ◽  
Mixed Design ◽  
Specific Training ◽  
Lower Variability ◽  
The Relationship

In putting, golfers require an internal forward sense of the causal relationship between putting actions and outcomes—a sense of distance—to decide appropriate impact intensity. As no previous work has shown such a cognitive ability in skilled golfers, we sought to quantify sense-of-distance skill differences between experts and novice golfers in both putting-swing consistency and accuracy of outcome estimation. We compared nine expert and nine novice golfers on putting-outcome estimation by having them putt a golf ball to a target located at three distances (1.2, 2.4, and 3.6 m), and then, after automatic closure of their electric-shutter spectacles immediately following putter impact with the ball, they gave their best estimate of where the ball stopped. We assessed outcome-estimation accuracy by calculating the absolute error between the stopped ball’s actual and estimated positions. We also measured and analyzed putter head-swing movements during the task using a motion-capture system. Two-way, mixed-design analysis of variance tests revealed that expert golfers achieved both significantly lower variability in putter-head kinematics and higher accuracy at outcome estimation than the novices. Linear partial correlation analyses with target distance as the control variable tested the relationship between outcome-estimation performance and putter-head variability kinematic measurements. There were no significant correlations between them for experts and novices in separate databases, while medium correlations were found in a collective database. Thus, swing consistency and a sense of distance are independent skills that both account for putting expertise, and specific training is required for each to improve putting skills.

An online investigation of the relationship between the frequency of word puzzle use and cognitive function in a large sample of older adults

2019 ◽  
Vol 34 (7) ◽  
pp. 921-931 ◽  
Author(s):  
Helen Brooker ◽  
Keith A. Wesnes ◽  
Clive Ballard ◽  
Adam Hampshire ◽  
Dag Aarsland ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Function ◽  
Large Sample ◽  
The Relationship
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