+ All Categories
Home > Data & Analytics > Integrating Wearables and User Interaction Patterns to Monitor Mental Health

Integrating Wearables and User Interaction Patterns to Monitor Mental Health

Date post: 04-Aug-2015
Category:
Upload: maulik-kamdar
View: 123 times
Download: 1 times
Share this document with a friend
Popular Tags:
15
Integrating Wearables and User Interaction Patterns to Monitor Mental Health Maulik R. Kamdar, Michelle J. Wu, Zeshan Hussain
Transcript

Integrating Wearables and User Interaction

Patterns to Monitor Mental Health

Maulik R. Kamdar, Michelle J. Wu, Zeshan Hussain

Introduction

Maulik Rajendra Kamdar
I think we should remove this slide for many reasons - 1 and main) we are not doing anything with neuropsychiatric disorders! .. 2) Slides from our proposal presentation should be limited - this presentation is not about what we propose, but what we did and we already have a lot to show. 3) Introduction should be limited to 2 minutes (or less) ... Audience already knows this The presentation could start like how current methods to monitor mental health are insufficient ... (current slide 3)[email protected] thoughts?
Michelle Jennifer Wu
i think the thrust of the project is still directed toward neuropsychiatric disorders, so it's okay to open like this... maybe combine this with the next slide or something, or be very brief!

Noninvasive Quantitative Continuous

DSM-5 guidelines ✔ ✖ ✖

EEG ✖ ✔ ✖

Video Monitoring ✔ ✖ ✔

Our goal ✔ ✔ ✔

Problem

Aims

● Develop a web application that aggregates smart watch data and patient insights

● Provide proof of concept through preliminary data collection

● Extract underlying patterns in the data and demonstrate a method for predicting mental health status

Methods: Architecture

Maulik Rajendra Kamdar
Maulik: Remove GPS icon

Brain Health Platform

http://54.200.211.229/BrainHealth/index.php

Maulik Rajendra Kamdar
Can always switch back to the original image ... though it would be nice to show UI in the watch
Maulik Rajendra Kamdar
Just in case the demo does not work! - this is an animation but we can move to a hidden slide

Brain Health Platform

Maulik Rajendra Kamdar
This slide should be hidden! But I cannot do it using Google Presentations
Zeshan Hussain
what do you mean hidden? like phase in as you transition?
Maulik Rajendra Kamdar
No.

Brain Health Platform

Maulik Rajendra Kamdar
Another hidden slide for Visualization s ... Just in case :/Boy I have high BP

Brain Health Platform

Methods: Data Collection- 12 anonymized participants (Ages: 19-37)- Gear S watch (10 am - 5 pm)

- Light - Heart Rate (BPM, Peak-to-peak) - Accelerometer (acceleration, rotation) - Pedometer (total distance, speed, calories, step count)

- Brain Health Web Application (10 am, 1 pm and 4 pm).- Textual, subjective Insights- Keyboard Interactions (key press time, interkey latency, speed,

number of errors, number of presses - back keys, enter, Ctrl+Z)- mouse interactions logged (move speed, drag speed, clicks)

Methods: Data Analysis- Features

- mean, standard deviation & dominant frequency for smart watch data types (heart rate, light, steps, speed, distance, acceleration, rotation)

- total distance, steps, walk steps, run steps- mean & standard deviation for the distribution of interkey latencies of

each bigram and press times of each unigram- number of spelling errors, undos, backspaces- average mouse move/drag velocity, total move/drag distance

- Modeling- one training example for each hour of data collected- cross validation to select a model, with 20% of data withheld for

evaluation

Results

Conclusions & Future Work- We developed an integrated smart watch and web application that can

collect a variety of passive data for a user as well as provide feedback to the user through visualizations.

- Through a pilot study, we were able to demonstrate the efficient integration of many data types, with the potential for use as a predictor of emotional state.

- In the future, we hope to address data quality issues by developing smarter imputation and noise filtering methods.

- In addition, we plan to extend this study to patients with neuropsychiatric disorders and continue to develop our models for predicting patient status.

Acknowledgements

- Pilot study participants- Samsung- Dave Stark & Team mHealth- Diego Calderon- Reviewers- Russ Altman, Steve Bagley, Tim Sweeney

Thank you!

[email protected] · [email protected] · [email protected]

“Exogenous data (behavioral, social, environmental) is overwhelming, but 70% determinants of health occur in these data types” - Rob Merkel, IBM (Big Data in Biomedicine Conference 2015)


Recommended