Month: November 2018

Mindfulness Monitor pt 3

As the overall methodology proposed for monitoring progressive states of mindfulness revolve primarily around accurately tracking heart and respiratory rate, we began developing this portion of the system first. An electrocardiogram (ECG) is comprised of a multiple parts, typically referred to as PQRS signal. Each portion of this electrical signal corresponds to a particular physical […]

Mindfulness Monitor pt 2

Mindfulness Monitor Development Methodology Mindfulness Monitor Preliminary System Schematic As mentioned in the last post, our system involves a closed loop, negative feedback system. That is, the system collects the requisite physiologic signals from the wearer (heart rate, respiratory rate, hand/head movement), determines the wearer’s current state of mindfulness and produces a stimulus to help […]

Mindfulness Monitor pt 1

Project Background Our ESE 519 team was approached by Dr. Nalaka Gooneratne with a research problem to explore mindfulness states, the physiologic variables associated with them, and the possibility of developing a methodology for recording and associating links between these variables in real-time. The obvious problem is the inherent black-box nature of a such a […]