TEAM NAME: M.A.D SREENIVAASAN GAJAPATHY, SUMA SAJJA, SUSHWANTH NIMMAGADDA, VIJAYRAM GOPU Ubiquitous Computing for self- management of Health
TEAM NAME: M.A.D
SREENIVAASAN GAJAPATHY, SUMA SAJJA, SUSHWANTH NIMMAGADDA, VIJAYRAM GOPU
Ubiquitous Computing for self-management of Health
ABSTRACT● Track a patient’s health in a smart way● Tracking includes - Heart Rate or Pulse, Respiratory Rate and
Body Temperature● Data Transfer to cloud every second - costly affair.● Data Computation on cloud every second - Huge costs.● Basic calculations can be done at user’s end or even with
devices that collect these data● Concept of computing ‘everywhere’ is known as ubiquitous
computing or everyware
VITAL SIGNSVitals signs of human body include● Body Temperature● Respiratory Rate● Heart Rate or the Pulse
MONITORING VITAL SIGNS● Opens up lot of new insights● Accelerometer-when user places his/her mobile on
the chest sensor can track the count of breath taken per minute and also estimate how deep the user breathe
● Heart rate sensor-radial artery for calculating the beats
● Infrared sensor in the module to find the body temperature
SENSOR TYPES
● Accelerometer
● Heart Rate Sensor
● Infrared Sensor
SPIROMETER
UBIQUITOUS COMPUTING● Ubiquitous computing -allows computations to be
done on any device that has the capability to compute
● Accelerometer can provide coordinate points as output. 1. How deep the person breathe 2. How often the person breathe
● Accelerometer provides the variation● The smartphone must calculate the variations per
second to provide the respiratory rate based on the below method
ESTIMATING RESPIRATORY RATE● RR is calculated from the median time interval● Range is a finite set of consecutive time intervals t1, t2 .tz.
● the number of inhales in a set = z● tz = (time taken to inhale - time to exhale)● z+1 determines the minimum number of variations in
accelerometer coordinate axis to complete an inhale and consequently the duration of the measurement.
MEASURING CONSISTENCY OF TIME INTERVALS
Consistency C of a measurement is reported as the maximum percentage of absolute deviation of each time interval from the median time interval of the set
REPORTING THE ESTIMATED RR ● RR calculated from a set is reported if the consistency C is equal or lower than a consistency threshold
● If C exceeds the consistency threshold, the earliest time interval is discarded from the set and a new time interval is recorded and added to the set
● This is repeated until a valid set is obtained
STATE OF ART APPLICATIONS
● iHealth Align● EyeNetra● Piddle● Glooko
THE ARCHITECTURE
ANALYTICS ON CLOUD
● Better insights● Can be utilized in our cloud through
their API● Online information base like WebMD
can be integrated to provide better results
CONCLUSION AND FUTURE WORK● Can be utilized to track down unexpected outbreaks
like Ebola● This system can be extended to live tracking of
outbreaks, so it can help people to stay aware of the outbreak
● Heat maps can be included in smartphone dashboards to display the impact of the outbreak
THANK YOU !!!