Brain imaging performed in natural settings is known as mobile brain and body imaging (MoBI). One of the features which distinguishes MoBI and laboratory-based experiments is the body posture. Previous studies pointed to mechanical, autonomic, cortical and cognitive differences between upright stance and sitting or reclining. The purpose of this study was to analyse effects of posture on eye-movement related potentials (EMRP) recorded during free viewing of human faces. A 64-channel wireless EEG was recorded from 14 participants in either standing or reclining postures while they freely viewed pictures of emotional faces displaying fear, anger, sadness, and a neutral emotional state. Eye tracking data was used to insert triggers corresponding to the instant at which the gaze first landed on a face. Spatial filtering of the EEG data was performed using a group independent component analysis (ICA). Grand average EMRPs displayed the post-saccadic lambda component and the face-sensitive N170/vertex positive potential (VPP) complex. The lambda component but not the N170 component was stronger during reclining than upright posture. Emotional expression of faces showed no effects on EMRP components or subjective ratings. Results suggest that posture primarily affects early components of EMRPs recorded using wireless EEG recordings during free viewing of faces. Thus, findings from evoked potential data obtained in seated individuals, e.g., in laboratory experiments, should be interpreted with caution in MoBI experiments with posture affecting primarily the early latency component.
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http://dx.doi.org/10.3389/fnins.2024.1492427 | DOI Listing |
Int J Occup Saf Ergon
January 2025
UR 3450 DevAH, Université de Lorraine, France.
. Musculoskeletal disorders (MSDs) represent a prevalent global occupational health concern, primarily associated with high biomechanical solicitations, mental workload and work pace. Although cobots have shown promise in reducing risks of MSDs, a question of interest still persists as to how the pace in hybrid human-machine collaboration will affect the operator, in terms of both physical and cognitive health and the production.
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
The State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory of Remote Measurement and Control, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Object handover is a fundamental task for collaborative robots, particularly service robots. In in-home assistance scenarios, individuals often face constraints due to their posture and declining physical functions, necessitating high demands on robots for flexible real-time control and intuitive interactions. During robot-to-human handovers, individuals are limited to making perceptual judgements based on the appearance of the object and the consistent behaviour of the robot.
View Article and Find Full Text PDFPeerJ
January 2025
Department of Orthopedics, Xuanwu Hospital Capital Medical University, Beijing, China.
Background: Lifting is generally considered as a risk factor for low back pain. A thorough investigation of the muscle function during lifting is essential for a better assessment of the potential risk of muscle impairment and towards improvements in lifting strategy. We aimed to compare the activities of the trunk muscles between the stoop and the squat lifting tasks.
View Article and Find Full Text PDFTremor Other Hyperkinet Mov (N Y)
January 2025
Department of General Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Background: Variants in the gene, encoding guanosine triphosphate cyclohydrolase, are associated with dopa-responsive dystonia (DRD) and are considered risk factors for parkinson's disease.
Methods: Comprehensive neurological assessments documented motor and non-motor symptoms in a Chinese family affected by DRD. Whole-exome sequencing (WES) was employed to identify potential mutations, with key variants confirmed by Sanger sequencing and analyzed for familial co-segregation.
Sci Rep
January 2025
The Key Laboratory for Agricultural Machinery Intelligent Control and Manufacturing of Fujian Education Institutions, Wuyi University, Nanping, 354300, Fujian, China.
This paper proposes an adaptive real-time tillage depth control system for electric rotary tillers, based on Linear Active Disturbance Rejection Control (LADRC), to improve tillage depth accuracy in tea garden intercropping with soybeans. The tillage depth control system comprises a body posture sensor, a control unit, and a hybrid stepper motor, integrating sensor data to drive the motor and achieve precise depth control. Real-time displacement sensor signals are compared with target values, enabling closed-loop control of the rotary tiller.
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