The Effects of Subsensory Electrical Noise Stimulation on the Compensatory Reactions During Support Surface Perturbations DOI
Zahra Bassiri, Oluwasegun Akinniyi,

Nathan Humphrey

и другие.

Опубликована: Янв. 1, 2023

Background: The ability to respond effectively balance perturbations is crucial for fall prevention. Subsensory electrical stimulation (SES) applied the skin leads improved proactive control but there limited evidence on SES effect reactive control.Research Questions: To test efficiency of in improving against unpredictable support surface and compare effects trunk lower legs.Methods: Twenty-three young adults stood a treadmill while recovering from 15 forward backward translations increasing magnitude determine stepping thresholds (BSTh FSTh). Then, they recovered three repetitions fixed characteristic compensatory step (i.e., time, length, delay Margin Stability - MOS). Each was conducted with no (NS), leg (LS), or (TS) equal 90% sensory threshold. Repeated-measures ANOVA Tukey post-hoc tests were used analyze main interaction repetition.Results: LS TS increased BSTh by 31.5% (p=0.002) 16.4% (p=0.028), respectively, greater TS; (ii) during perturbations, reduced time 9.8%, length 17.1%, MOS at heel strike 17.7%; (iii) 4.5% 3.5%, minimum 7.8% 4.5%, respectively.Significance: This first study that showed how application improves perturbations. more effective than may be an strategy enhance postural tasks, thus potentially reducing risk.

Язык: Английский

Transforming stroop task cognitive assessments with multimodal inverse reinforcement learning DOI Creative Commons
Ali Abbasi, Jiaqi Gong, Soroush Korivand

и другие.

Smart Health, Год журнала: 2025, Номер unknown, С. 100567 - 100567

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Electrophysiological Approaches to Understanding Brain–Muscle Interactions During Gait: A Systematic Review DOI Creative Commons
Maura Seynaeve, Dante Mantini, Toon T. de Beukelaar

и другие.

Bioengineering, Год журнала: 2025, Номер 12(5), С. 471 - 471

Опубликована: Апрель 29, 2025

This study systematically reviews the role of cortex in gait control by analyzing connectivity between electroencephalography (EEG) and electromyography (EMG) signals, i.e., neuromuscular (NMC) during walking. We aim to answer following questions: (i) Is there significant NMC a healthy population? (ii) modulated task specifications (e.g., speed, surface, additional demands)? (iii) altered elderly or population affected neurologic disorder? Following PRISMA guidelines, systematic search seven scientific databases was conducted up September 2023. Out 1308 identified papers, 27 studies met eligibility criteria. Despite large variability methodology, detected most studies. able discriminate disorder. Tasks requiring higher sensorimotor resulted an elevated level NMC. While holds promise as metric for advancing our comprehension brain-muscle interactions gait, aligning methodologies across is imperative. Analysis provides valuable insights understanding neural movement development retraining programs contributes advancements neurotechnology.

Язык: Английский

Процитировано

0
Neuropsychological Activations and Networks While Performing Visual and Kinesthetic Motor Imagery DOI Creative Commons
Sechang Kwon, Jingu Kim,

Teri Kim

и другие.

Brain Sciences, Год журнала: 2023, Номер 13(7), С. 983 - 983

Опубликована: Июнь 22, 2023

This study aimed to answer the questions 'What are neural networks and mechanisms involved in visual kinesthetic motor imagery?', 'Is part of cognitive processing included during imagery?' by investigating neurophysiological activations imagery using tasks (golf putting). The experiment was conducted with 19 healthy adults. Functional magnetic resonance imaging (fMRI) used examine golf putting tasks. findings analysis on cerebral activation patterns based two distinct types indicate that posterior lobe, occipital limbic lobe exhibited activation, right hemisphere activated process imagery. temporal parietal were observed revealed elicited stronger frontal whereas resulted greater left lobe. It seems activates primary somatosensory cortex (BA 2), secondary 5 7), areas induces human sensibility. present investigation evinced network regions brain exhibit variability contingent category

Язык: Английский

Процитировано

7
Inertia-Constrained Reinforcement Learning to Enhance Human Motor Control Modeling DOI Creative Commons
Soroush Korivand, Nader Jalili, Jiaqi Gong

и другие.

Sensors, Год журнала: 2023, Номер 23(5), С. 2698 - 2698

Опубликована: Март 1, 2023

Locomotor impairment is a highly prevalent and significant source of disability significantly impacts the quality life large portion population. Despite decades research on human locomotion, challenges remain in simulating movement to study features musculoskeletal drivers clinical conditions. Most recent efforts utilize reinforcement learning (RL) techniques are promising simulation locomotion reveal drives. However, these simulations often fail mimic natural because most strategies have yet consider any reference data regarding movement. To address challenges, this study, we designed reward function based trajectory optimization rewards (TOR) bio-inspired rewards, which includes obtained from motion captured by single Inertial Moment Unit (IMU) sensor. The sensor was equipped participants’ pelvis capture data. We also adapted leveraging previous walking for TOR. experimental results showed that simulated agents with modified performed better mimicking collected IMU participants, means more realistic. As defined cost, enhanced agent’s capacity converge during training process. result, models’ convergence faster than those developed without Consequently, can be quickly broader range environments, performance.

Язык: Английский

Процитировано

6
Optimizing Human–Robot Teaming Performance through Q-Learning-Based Task Load Adjustment and Physiological Data Analysis DOI Creative Commons
Soroush Korivand,

Gustavo Galvani,

Arash Ajoudani

и другие.

Sensors, Год журнала: 2024, Номер 24(9), С. 2817 - 2817

Опубликована: Апрель 28, 2024

The transition to Industry 4.0 and 5.0 underscores the need for integrating humans into manufacturing processes, shifting focus towards customization personalization rather than traditional mass production. However, human performance during task execution may vary. To ensure high human–robot teaming (HRT) performance, it is crucial predict without negatively affecting execution. Therefore, indirectly, significant factors such as engagement load (i.e., amount of cognitive, physical, and/or sensory resources required perform a particular task), must be considered. Hence, we propose framework maximize HRT performance. For prediction development phase, our methodology employs features extracted from physiological data inputs. labels these predictions—categorized accurate or inaccurate due high/low load—are meticulously crafted using combination NASA TLX questionnaire, records in quality control tasks, application Q-Learning derive task-specific weights indices. This structured approach enables deployment model exclusively rely on predicting thereby achieving an accuracy rate 95.45% forecasting maintain optimized this study further introduces method dynamically adjusting robot’s speed case low strategic adjustment designed effectively balance load, enhancing efficiency collaboration.

Язык: Английский

Процитировано

2
Electrophysiological approaches to understanding brain-muscle interactions during gait: a systematic review DOI Creative Commons
Maura Seynaeve, Dante Mantini, Toon T. de Beukelaar

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Фев. 29, 2024

Objective: This study systematically reviews the role of cortex in gait control by analyzing connectivity between electroencephalography (EEG) and electromyography (EMG) signals, i.e. neuromuscular (NMC) during walking. We aim to answer following questions: (i) Is there significant NMC a healthy population? (ii) modulated task specifications (e.g. speed, surface, additional demands)? (iii) altered elderly or population affected neurologic disorder? Methods: Following PRISMA guidelines, systematic search seven scientific databases was conducted until September 2023. Results: Out 1308 identified papers, 27 studies met eligibility criteria. Despite large variability methodology, detected most studies. able discriminate disorder. Tasks requiring higher sensorimotor resulted an elevated level NMC. Conclusions: While holds promise as metric for advancing our comprehension brain-muscle interactions gait, aligning methodologies across is imperative. Significance: Analysis provides valuable insights understanding neural movement, development retraining programs contributes advancements neurotechnology.

Язык: Английский

Процитировано

1
From brain to worksite: the role of fNIRS in cognitive studies and worker safety DOI Creative Commons

Yang Han,

Jianling Huang,

Yin Yang

и другие.

Frontiers in Public Health, Год журнала: 2023, Номер 11

Опубликована: Окт. 25, 2023

Effective hazard recognition and decision-making are crucial factors in ensuring workplace safety the construction industry. Workers’ cognition closely relates to that hazard-handling behavior. Functional near-infrared spectroscopy (fNIRS) is a neurotechique tool can evaluate concentration vibration of oxygenated hemoglobin [HbO2] deoxygenated [ id="M2">HbR ] reflect process. It essential monitor workers’ brain activity by fNIRS analyze their cognitive status reveal mechanism process, providing guidance for capability evaluation management enhancement. This review offers systematic assessment fNIRS, encompassing basic theory, experiment analysis, data discussion. A literature search content analysis conducted identify application research, limitations selected studies, prospects future research. article serves as guide researchers keen on harnessing bolster standards forwards insightful recommendations subsequent studies.

Язык: Английский

Процитировано

3
Short: Toward personalized rehabilitation employing classification, localization, and visualization of brain–arm movement relationships DOI
Soroush Korivand,

Xishi Zhu,

Nader Jalili

и другие.

Smart Health, Год журнала: 2023, Номер 28, С. 100397 - 100397

Опубликована: Март 20, 2023

Язык: Английский

Процитировано

2
Navigation in real-world environments DOI
Fabian Kessler, Julia Frankenstein, Constantin A. Rothkopf

и другие.

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 127 - 156

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

0
The effects of subsensory electrical noise stimulation on the reactive control of balance during support surface perturbations DOI
Zahra Bassiri, Oluwasegun Akinniyi,

Nathan Humphrey

и другие.

Gait & Posture, Год журнала: 2024, Номер 114, С. 297 - 304

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0