Ehtasham Javed

Ehtasham Javed
University of Helsinki | HY · Neuroscience Center

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13
Publications
831
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71
Citations

Publications

Publications (13)
Article
Full-text available
The power industry is in the process of grid modernization with the introduction of phasor measurement units (PMUs), advanced metering infrastructure (AMI), and other technologies. Although these technologies enable more reliable and efficient operation, the risk of cyber threats has increased, as evidenced by the recent blackouts in Ukraine and Ne...
Conference Paper
A reduced model of the default mode network is presented, which regions are composed by realistic layered-microcircuits. Importantly, the model takes in account the excitatory/inhibitory balance deterioration characterizing the early stages of Alzheimer's disease (AD). The model is able to reproduce the increased occurrence of transient discharges...
Chapter
The outbreak of COVID-19 has severely affected the healthcare infrastructure. The limitations of conventional healthcare urge the use of the digital technologies to lessen the overall load on the healthcare infrastructure and assist healthcare workers/staff. This chapter focuses on digital technologies to enable smart healthcare solutions to sustai...
Chapter
Full-text available
The healthcare sector has been stretched to its maximum capacity with the outbreak of coronavirus. With a worldwide impact it has highlighted the maximum capabilities and limitations in the existing healthcare facilities worldwide. Such an unprecedented load of healthcare requirements can be supported with Internet of Things (IoT) and cloud service...
Article
Full-text available
Gas sensors are critical components when adhering to health safety and environmental policies in various manufacturing industries, such as the petroleum and oil industry; scent and makeup production; food and beverage manufacturing; chemical engineering; pollution monitoring. In recent times, gas sensors have been introduced to medical diagnostics,...
Article
Full-text available
Given the majority of age-related diseases have been described as disconnection syndromes, understanding the functional connections of normal aging is of considerable importance. Here, an EEG-based scalp level analysis has been performed to identify the alterations in the synchronized brain regions in aged, compared to young persons. Two groups, ag...
Article
Background: This study addresses an ongoing debate, i.e. whether microstates have a relation to specific oscillations or frequency bands. The previous literature on this has been inconclusive. Due to stochastic calculation of microstates it is important to address this issue because instead of providing further insights, it might lead us to ambigu...
Article
Background: Simultaneous electroencephalography (EEG) and functional magnetic resonance image (fMRI) acquisitions provide better insight into brain dynamics. Some artefacts due to simultaneous acquisition pose a threat to the quality of the data. One such problematic artefact is the ballistocardiogram (BCG) artefact. Methods: We developed a hybr...
Conference Paper
Simultaneous recordings of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) allow acquisition of brain data with high spatial and temporal resolution. However, the EEG data get contaminated by additional artifacts such as Gradient artifact and Ballistocardiogram (BCG) artifact. The BCG artifact’s dynamics appear to be m...
Conference Paper
Concurrent electroencephalograph (EEG) and functional magnetic resonance image (fMRI) led researchers to acquire neuronal activities in detail over the past few decades. Regardless of the advantages of combining these modalities, artifacts posed a greater challenge to attain good quality data. One such problematic artifact which contaminates EEG re...
Conference Paper
Brain Computer interface (BCI) shown enormous ability to advance the human way of life. Furthermore its application is also targeting the disabled ones. In this research, we have implemented a new approach to classify EEG signals more efficiently. The dataset used for this purpose is from BCI competition-II 2003 named Graz database. Initial process...
Conference Paper
Concurrent acquisition of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) is widely used to monitor the neuronal activities of brain. However, this simultaneous recording suffers from complex artifacts. The Ballistocardiogram (BCG) artifact in specific, is as yet poorly assumed, appears to be more challenging and hinde...

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