Surface Potential Simulation and Electrode Design for in-Ear EEG Measurement.

The need for everyday-real-time EEG sensing has resulted in the development of minimalistic and discreet wearable EEG measuring devices. A front runner in this race is in-ear worn device. However, the position of the ear as well as its restricted accessibility poses certain challenges in the design of such devices - from the type of materials used to the placement of electrodes.

Single feature spatio-temporal architecture for EEG Based cognitive load assessment.

The study of electroencephalography (EEG) data for cognitive load analysis plays an important role in identification of stress-inducing tasks. This can be useful in applications such as optimal work allocation, increasing efficiency in the workplace and ensuring safety in difficult work environments. In order for such systems to be realistically deployable, easy acquisition and processing of the data on a wearable device is imperative.

A trial study of using DSST to evaluate cognitive impairment in older adults.

Non-invasive means of monitoring mild cognitive impairments (MCI) is recently gaining popularity. With the advent of easy to use physiological sensors, there have been an outburst of studies from the last decade which aim at detecting a target's mental health condition. However, not many studies present the experience or insights gained from carrying out such in-situ research work, particularly when working with older adults.

A Sensor-enabled Digital Trier Social Stress Test in an Enterprise Context.

The Trier Social Stress Test (TSST) protocol is a widely accepted method of inducing social and/or cognitive stress in participants and studying its effects. Traditionally, this protocol is administered in laboratory or university settings, which are less formal than in offices. In this paper, we report the results of the analysis of multi-modal sensor data collected from employees of an enterprise who underwent the test.