Detecting heart rate from fNIRS based brain signals

From Brain Signals to Adaptive Interfaces: Using fNIRS in HCI

Functional near-infrared spectroscopy (fNIRS) is an emerging noninvasive, lightweight imaging tool which can measure blood oxygenation levels in the brain. In this chapter, we describe the fNIRS device and its potential within the realm of human-computer interaction (HCI). We discuss research that explores the kinds of states that can be measured with fNIRS, and we describe initial research and...

fNIRS-based brain-computer interfaces: a review

A brain-computer interface (BCI) is a communication system that allows the use of brain activity to control computers or other external devices. It can, by bypassing the peripheral nervous system, provide a means of communication for people suffering from severe motor disabilities or in a persistent vegetative state. In this paper, brain-signal generation tasks, noise removal methods, feature e...

Detecting Correlations between Non-stationary Brain Signals

A new approach is proposed to detect instantaneous correlations between neural activity in different parts of the brain measured with extracellular multi-site recordings. With this method one can also study how the coupling between different areas changes while the animal is performing certain tasks. We illustrate this method by investigating the coupling between the two mushroom bodies of the ...

Heart-Brain Coherence; Heart-Rate Variability (HRV); Reading Anxiety; TestEdge Program

Based on psychophysiological research, coherent heart-brain interaction can change afferent cardiac signal pattern sent to the brain. Accordingly, the present study aimed at facilitating the emotion-cognition interaction through HeartMath Institute self-regulated emotional techniques to investigate the efficacy of heart-brain coherence on reading anxiety reduction that significantly enhances at...

Detecting of Semantic Anomalies Using fNIRS