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Atheeth Ram

on 21 January 2014

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Transcript of Heart-Phones

Cardiovascular monitoring using Earphones and a Mobile Device
About the Authors
System Design
Experiments and Results
Future Work
IEEE Pervasive Computing Pg 18-26
October-December 2012
MIT Media Lab
About the Authors
Wearable computing-Interdisciplinary field involving science, engineering, design, and fashion.
System Design
Prototype: An overview of Heartphone system
Illustrate accuracy of Heart rate measurements
Explore various application examples such as Music and Stress; Bilateral Measurements for CAD
Experiments & Results
Presented by:
-Atheeth Ramakrishna
-Muna Balami

Ming Zher Poh
Kyunghee Kim
Andrew D.Goessling
Nicholas C. Swenson
Rosalind W. Picard
Research affiliate of MIT media Lab’s Affective computing Group.
Phd in electrical and medical engineering from the Harvard-MIT division of Health Sciences and technology.
Software engineer at Oracle corporation
Masters in media arts and sciences from the Massachusetts Institute of Technology
Undergraduate student in the MIT media Lab’s Affective computing Group
Undergraduate student in MIT media Lab’s Affective computing Group
Professor of media Arts and Sciences at the MIT media Lab.
Founder and director of the Affective computing Group.
Leader of a new Autism and communication technology Initiative at the Massachusetts Institute of Technology.
Heartphones is a system for continuous heart rate monitoring comprising sensor earphones and a mobile application
HeartPhones consists of two main components
Processing Circuitry
Sensor Earphones
Resemble commercially popular earphones.
Reflective photosensor is embedded into each earbud on a pair of regular earphones.
The reflective photosensor comprises an infrared LED that’s integrated with a phototransistor in a small resin package.
Comparison of BVP and ECG waveforms
At Rest
Walking and Cycling
Comfortable and non-obtrusive assessment/surveillance for cardiovascular catastrophes; even stylish and lifestyle wearable product

Social acceptance and widespread adoption outside the lab as it is a natural extension that adds the capability to track personal health
Future Work
Screening patients for CAD

Tracking chronic medical conditions

Measuring Breathing rates.
Questions and Comments are welcome
Heart Rate Monitoring
Study on 31 participants(18 males & 13 females)
Participants age - between 18-47
Music & Stress
Earphones retain their original function - as audio output device

Heartphones can measure user’s stress levels and help regulate them with music by measuring HRV

Heartphones can also help identify songs that aid in promoting relaxation by monitoring HRV

Monitoring heart rate and stress level with no extra effort
Bilateral Measurements for CA D
Another potential application - continuous monitoring of carotid artery disease(CAD).

Study - obtained simultaneous bilateral PPG recordings from 15 participants 8 males and 7 females) with no history of cardiovascular disease

Assessed similarities in bilateral BVP waveforms by cross correlation between left and right BVP signals

Pearson’s correlation coefficient and the crosscorrelation lag corresponding to maximum correlation.
System Accuracy Exceptions
PPG - influenced by motion-induced signal corruption (more effort-ful activities)

Poorly fitted earbuds and motion of the earphone cables can introduce inaccuracy
Use of Adaptive Noise Cancellation Technique
Full transcript