Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment Under Different Levels of Physical Activity

2019 ◽  
Author(s):  
Isabela Albuquerque ◽  
Olivier Rosanne ◽  
Jean-Francois Gagnon ◽  
Sebastien Tremblay ◽  
Tiago H. Falk
Keyword(s):  
Physical Activity ◽  
Mental Workload ◽  
Different Levels ◽  
Eeg Features

On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity

2018 ◽  
Author(s):  
Isabela Albuquerque ◽  
Abhishek Tiwari ◽  
Jean-Franois Gagnon ◽  
Daniel Lafond ◽  
Mark Parent ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mental Workload ◽  
Eeg Features

scholarly journals AB0499 PHYSICAL ACTIVITY ASSESSMENT IN TUNISIAN PATIENTS WITH SPONDYLOARTHRITIS: THE IPAQ EVALUATION

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1277.1-1277
Author(s):  
F. Majdoub ◽  
M. Sellami ◽  
S. Miladi ◽  
A. Fazaa ◽  
L. Souabni ◽  
...  
Keyword(s):  
Physical Activity ◽  
Disease Activity ◽  
Axial Spondyloarthritis ◽  
Cross Sectional Study ◽  
Urban Setting ◽  
Tnf Inhibitor ◽  
Sectional Study ◽  
Cross Sectional ◽  
Tunisian Patients ◽  
Different Levels

Background:The occurrence of Spondyloarthritis (SpA) often conditions patients’ quality of life and hinders their well-being. Physical activity (PA) is associated with various health-related benefits among adults with chronic inflammatory rheumatism but may be insufficiently performed.Objectives:This study aimed to assess PA in patients with SpA and explore its associated factors.Methods:This is a single-center cross-sectional study, involving patients with SpA, visiting our outpatient hospital over eight weeks. Patients responded to the International Physical Activity Questionnaire-Short form (IPAQ-S).Results:Sixty patients were included (39 M/21 F) with an average age of 45.8 years [25-78]. The mean duration of SpA was 13.2 years [1-25]. About 80% of patients were from an urban setting. Sixty-three percent of patients had a professional activity, while 13.3% were retired. Twenty-nine patients (48.3%) had axial and peripheral form, 18 patients (30%) had SpA with enteropathic arthritis, 8 (13.3%) with psoriatic arthritis, 3 patients (5%) had axial spondyloarthritis, and only 2 patients (3.3%) with SAPHO-Syndrom. About 23% of patients had hip arthritis and only 5% had uveitis. Fifty-eight patients were on TNF-inhibitor (21/58 Adalimumab, 15/58 Infliximab, 14/58 Etanercept, 8/58 Golimumab). The average BASDAI was 2.7/10. The average ASDASCRP was 2.1/10. The average BASFI was 3.3/10. IPAQ results were distributed as follows: 78.3% of patients were in the « low physical activity » category, 21.7% were in the « moderate physical activity » while none of the patients were in the « high physical activity ». Patients without employment had lower levels of physical activity (29.7%) but no association was observed between those two items (p=0.082). Disease activity objectified with BASDAI was related to low physical activity (p=0.045) whereas no association was observed with ASDASCRP (p=0.870) or BASFI (p=0.056). Otherwise, TNF-inhibitor treatment was not related to different levels of PA (p=0.09).Conclusion:Tunisian patients with SpA don’t perform enough physical activity. Except for high disease activity, the different levels of PA did not appear to be explained by other disease-related variables. Thereby, physical activity should be encouraged in SpA.References:[1]Fabre, S., Molto, A., Dadoun, S. et al. Physical activity in patients with axial spondyloarthritis: a cross-sectional study of 203 patients. Rheumatol Int 36, 1711–1718 (2016).Disclosure of Interests:None declared.

scholarly journals Impact of physical activity at different levels in heart rhythm in the long term (IMPAR)

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Marcio Galindo Kiuchi ◽  
Gustavo Ramalho e Silva ◽  
Luis Marcelo Rodrigues Paz ◽  
Gladyston Luiz Lima Souto ◽  
Shaojie Chen
Keyword(s):  
Physical Activity ◽  
Heart Rhythm ◽  
Different Levels

scholarly journals Multi-Scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 783 ◽  
Author(s):  
Abhishek Tiwari ◽  
Isabela Albuquerque ◽  
Mark Parent ◽  
Jean-François Gagnon ◽  
Daniel Lafond ◽  
...  
Keyword(s):  
Physical Activity ◽  
Mental Workload ◽  
Real Life ◽  
Heart Beat ◽  
Activity Levels ◽  
Safety Hazards ◽  
Constant Attention ◽  
Multi Scale ◽  
Entropy Measures ◽  
Ecg Artifacts

Mental workload assessment is crucial in many real life applications which require constant attention and where imbalance of mental workload resources may cause safety hazards. As such, mental workload and its relationship with heart rate variability (HRV) have been well studied in the literature. However, the majority of the developed models have assumed individuals are not ambulant, thus bypassing the issue of movement-related electrocardiography (ECG) artifacts and changing heart beat dynamics due to physical activity. In this work, multi-scale features for mental workload assessment of ambulatory users is explored. ECG data was sampled from users while they performed different types and levels of physical activity while performing the multi-attribute test battery (MATB-II) task at varying difficulty levels. Proposed features are shown to outperform benchmark ones and further exhibit complementarity when used in combination. Indeed, results show gains over the benchmark HRV measures of 24 . 41 % in accuracy and of 27 . 97 % in F1 score can be achieved even at high activity levels.

scholarly journals A Multilevel Analysis of Neighbourhood, School, Friend and Individual-Level Variation in Primary School Children’s Physical Activity

2019 ◽  
Vol 16 (24) ◽  
pp. 4889
Author(s):  
Ruth Salway ◽  
Lydia Emm-Collison ◽  
Simon J. Sebire ◽  
Janice L. Thompson ◽  
Deborah A. Lawlor ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vigorous Physical Activity ◽  
Classification Model ◽  
Accelerometer Data ◽  
Individual Level ◽  
Friendship Groups ◽  
Multiple Classification ◽  
Multiple Membership ◽  
Children’S Physical Activity ◽  
Different Levels

Physical activity is influenced by individual, inter-personal and environmental factors. In this paper, we explore the variability in children’s moderate-to-vigorous physical activity (MVPA) at different individual, parent, friend, school and neighbourhood levels. Valid accelerometer data were collected for 1077 children aged 9, and 1129 at age 11, and the average minutes of MVPA were derived for weekdays and weekends. We used a multiple-membership, multiple-classification model (MMMC) multilevel model to compare the variation in physical activity outcomes at each of the different levels. There were differences in the proportion of variance attributable to the different levels between genders, for weekdays and weekends, at ages 9 and 11. The largest proportion of variability in MVPA was attributable to individual variation, accounting for half of the total residual variability for boys, and two thirds of the variability for girls. MVPA clustered within friendship groups, with friends influencing peer MVPA. Including covariates at the different levels explained only small amounts (3%–13%) of variability. There is a need to enhance our understanding of individual level influences on children’s physical activity.

scholarly journals Description and validation of the ActiReg®: a novel instrument to measure physical activity and energy expenditure

2004 ◽  
Vol 92 (6) ◽  
pp. 1001-1008 ◽  
Author(s):  
Bo-Egil Hustvedt ◽  
Alf Christophersen ◽  
Lene R. Johnsen ◽  
Heidi Tomten ◽  
Geraldine McNeill ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Body Position ◽  
Energy Costs ◽  
Motion Sensors ◽  
Storage Unit ◽  
Doubly Labelled Water ◽  
The Right ◽  
Different Levels ◽  
Objective Recording

The ActiReg® (PreMed AS, Oslo, Norway) system is unique in using combined recordings of body position and motion alone or combined with heart rate (HR) to calculate energy expenditure (EE) and express physical activity (PA). The ActiReg® has two pairs of position and motion sensors connected by cables to a battery-operated storage unit fixed to a waist belt. Each pair of sensors was attached by medical tape to the chest and to the front of the right thigh respectively. The collected data were transferred to a personal computer and processed by a dedicated program ActiCalc®. Calculation models for EE with and without HR are presented. The models were based on literature values for the energy costs of different activities and therefore require no calibration experiments. The ActiReg® system was validated against doubly labelled water (DLW) and indirect calorimetry. The DLW validation demonstrated that neither EE calculated from ActiReg® data alone (EEAR) nor from combined ActiReg® and HR data (EEAR–HR) were statistically different from DLW results. The EEAR procedure causes some underestimation of EE >11 MJ corresponding to a PA level >2·0. This underestimation is reduced by the EEAR–HR procedure. The objective recording of the time spent in different body positions and at different levels of PA may be useful in studies of PA in different groups and in studies of whether recommendations for PA are being met. The comparative ease of data collection and calculation should make ActiReg® a useful instrument to measure habitual PA level and EE.

Tracing the physiological response and behavioral performance of drivers at different levels of mental workload using driving simulators

2020 ◽  
Vol 72 ◽  
pp. 213-223 ◽  
Author(s):  
Mojtaba Zokaei ◽  
Mohammad Javad Jafari ◽  
Reza Khosrowabadi ◽  
Ali Nahvi ◽  
Sohila Khodakarim ◽  
...  
Keyword(s):  
Physiological Response ◽  
Mental Workload ◽  
Behavioral Performance ◽  
Driving Simulators ◽  
Different Levels
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