Automatic removal of EEG artifacts using electrode-scalp impedance

Zou, Yuan; Dehzangi, Omid; Nathan, Viswam; Jafari, Roozbeh

doi:10.1109/icassp.2014.6853960

Cited by 7 publications

(7 citation statements)

References 16 publications

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“…The EEG from the 19 electrodes shown in Figure 1 was acquired using a Discovery-24 system (BrainMaster Technologies Inc., Bedford, OH, USA) and Openvibe software at 256 Hz using the left earlobe as a reference. Prior to recording, it was verified that the impedance from each sensor was below 5 k

to prevent poor connectivity and signal distortion [ 22 ]. MATLAB was used to perform all analyses.…”

Section: Methodsmentioning

confidence: 99%

Preliminary Evidence of EEG Connectivity Changes during Self-Objectification of Workers

Angulo-Sherman

Saavedra-Hernández²,

Urbina-Arias³

et al. 2022

Sensors

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Economic objectification is a form of dehumanization in which workers are treated as tools for enhancing productivity. It can lead to self-objectification in the workplace, which is when people perceive themselves as instruments for work. This can cause burnout, emotional drain, and a modification of self-perception that involves a loss of human attributes such as emotions and reasoning while focusing on others’ perspectives for evaluating the self. Research on workers self-objectification has mainly analyzed the consequences of this process without exploring the brain activity that underlies the individual’s experiences of self-objectification. Thus, this project explores the electroencephalographic (EEG) changes that occur in participants during an economic objectifying task that resembled a job in an online store. After the task, a self-objectification questionnaire was applied and its resulting index was used to label the participants as self-objectified or non-self-objectified. The changes over time in EEG event-related synchronization (ERS) and partial directed coherence (PDC) were calculated and compared between the self-objectification groups. The results show that the main differences between the groups in ERS and PDC occurred in the beta and gamma frequencies, but only the PDC results correlated with the self-objectification group. These results provide information for further understanding workers’ self-objectification. These EEG changes could indicate that economic self-objectification is associated with changes in vigilance, boredom, and mind-wandering.

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to prevent poor connectivity and signal distortion [ 22 ]. MATLAB was used to perform all analyses.…”

Section: Methodsmentioning

confidence: 99%

Preliminary Evidence of EEG Connectivity Changes during Self-Objectification of Workers

Angulo-Sherman

Saavedra-Hernández²,

Urbina-Arias³

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…In the case of wearable bioelectronics, especially when applied to the skin, the stiffness of the bioelectronics can cause discomfort and irritation. Since stiff and flat bioelectronics cannot make perfect contact with the smooth and curved skin surface, pressure is concentrated in a localized area and the friction generated at the interface can cause skin rashes and allergic reactions 267,268 . Furthermore, incomplete contact lowers bioelectronic performance due to high impedance and low SNRs 268 .…”

Section: Functional Interfaces For Integrated Bioelectronic Systemsmentioning

confidence: 99%

Wearable and implantable bioelectronics as eco‐friendly and patient‐friendly integrated nanoarchitectonics for next‐generation smart healthcare technology

Kim

Baek

Sluyter

et al. 2023

EcoMat

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Since the beginning of human history, the demand for effective healthcare systems for diagnosis and treatment of health problems has grown steadily. However, traditional centralized healthcare requires hospital visits, making in‐time and long‐term healthcare challenging. Bioelectronics has shown potential in patient‐friendly healthcare owing to the rapid advances in diverse fields of biology and electronics. In particular, wearable and implantable bioelectronics have emerged as an alternative or adjunct to conventional healthcare. To develop into next‐generation healthcare systems, however, custom designs for biological targets with a deepened understanding of the intrinsic features of the target are essential. In addition, bioelectronic systems must be designed eco‐friendly for sustainable healthcare. In this review, bioelectronics as eco‐friendly and patient‐friendly integrated nanoarchitectonics as next‐generation smart healthcare technology are described. For an in‐depth understanding of biological targets and guidelines for target‐tailored design, we discuss target‐specific considerations and relevant key parameters of bioelectronic systems with the representative examples.

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“…In the case of less invasive, skin-mounted EEG measurement devices, the main challenge is to maintain high-quality, long-term conformal contact between the bioelectronics and the elastic, wrinkled skin. 24,25 Due to the stiffness of the constituent materials, conventional electrodes cannot perfectly follow the microscopic curvature of the wrinkled skin. Additionally, repetitive stretching of elastic skin often causes electrodes to delaminate from it.…”

Section: Challenges Faced By Conventional Bioelectronicsmentioning

confidence: 99%

Advances in Soft Bioelectronics for Brain Research and Clinical Neuroengineering

Sunwoo

Han

Joo

et al. 2020

Matter

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Automatic removal of EEG artifacts using electrode-scalp impedance

Cited by 7 publications

References 16 publications

Preliminary Evidence of EEG Connectivity Changes during Self-Objectification of Workers

Preliminary Evidence of EEG Connectivity Changes during Self-Objectification of Workers

Wearable and implantable bioelectronics as eco‐friendly and patient‐friendly integrated nanoarchitectonics for next‐generation smart healthcare technology

Advances in Soft Bioelectronics for Brain Research and Clinical Neuroengineering

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