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ANDROID based on Embedded System
SYSTOLIC BLOOD PRESSURE ESTIMATION USING
ANDROID SMART PHONES
ABSTRACT
Systolic blood pressure (SBP) is one of the important vital signs that need to
be monitored for personal healthcare. Measuring SBP via pulse wave transit time
(PWTT) requires monitoring ECG and pulse wave signals simultaneously, which
has no portability. And before the measurement the parameters indicating the
relationship between BP and PWTT must be calculated through training.
Volume pulse waves were acquired by a smart phone with its built-in
camera, and then accelerated pulse waves were gotten through filtering, amplifying
and processing the signals. The PWTT between the progressive and reflected
waves of the accelerated pulse waves was calculated. The tester swayed his arm
with hand holding the same phone to change the SBP for the training. The
displacement of the hand was calculated through the accelerometer of the smart
phone.
Experimental results indicated that there is no obvious difference between
SBP measured by the new system and by an electronic sphygmomanometer with
error less than 10mmHg.
EXISTING SYSTEM
Blood pressure is typically measured using a mercury sphygmomanometer
or an electronic sphygmomanometer. However, most people do not carry these
devices during their daily life.
ANDROID based on Embedded System
DISADVANTAGE
 Not a efficient
 Money waste
 Time waste
 More complex for old people
PROPOSED SYSTEM
Smart phones today have become a necessity for life and they have become
increasingly popular with high-end processors, high-resolution cameras and built-
in sensors such as accelerometer, orientation sensor, and light-sensor. We focus on
using smart phone to replace the traditional stethoscope and cuff-based
measurement technique. The technique we proposed is based on the linear model
between SBP and PWTT.
ADVANTAGE
 More efficient
 Low cost
 Easily measure
ANDROID based on Embedded System
BLOCK DIAGRAM
8
0
5
1
Blue Tooth
Modem
Max-232
Power
Supply
LCD
Temp
Heart Beat
ANDROID based on Embedded System
POWER SUPPLY BLOCK DIAGRAM
HARDWARE REQUIREMENTS
 ECG Electrode
 Finger Pulse Sensor
 ECG Acquisition Module
 PPG Acquisition Module
Stepdown
Transformer
Filter Regulator OutputBridge
Rectifier
ANDROID based on Embedded System
 Micro controller 8051
 Bluetooth Module
 Android Mobile
SOFTWARE REQUIREMENTS
 KEIL COMPILER
 PROTEUS SOFTWARE

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Andriod 5. systolic blood pressure

  • 1. ANDROID based on Embedded System SYSTOLIC BLOOD PRESSURE ESTIMATION USING ANDROID SMART PHONES ABSTRACT Systolic blood pressure (SBP) is one of the important vital signs that need to be monitored for personal healthcare. Measuring SBP via pulse wave transit time (PWTT) requires monitoring ECG and pulse wave signals simultaneously, which has no portability. And before the measurement the parameters indicating the relationship between BP and PWTT must be calculated through training. Volume pulse waves were acquired by a smart phone with its built-in camera, and then accelerated pulse waves were gotten through filtering, amplifying and processing the signals. The PWTT between the progressive and reflected waves of the accelerated pulse waves was calculated. The tester swayed his arm with hand holding the same phone to change the SBP for the training. The displacement of the hand was calculated through the accelerometer of the smart phone. Experimental results indicated that there is no obvious difference between SBP measured by the new system and by an electronic sphygmomanometer with error less than 10mmHg. EXISTING SYSTEM Blood pressure is typically measured using a mercury sphygmomanometer or an electronic sphygmomanometer. However, most people do not carry these devices during their daily life.
  • 2. ANDROID based on Embedded System DISADVANTAGE  Not a efficient  Money waste  Time waste  More complex for old people PROPOSED SYSTEM Smart phones today have become a necessity for life and they have become increasingly popular with high-end processors, high-resolution cameras and built- in sensors such as accelerometer, orientation sensor, and light-sensor. We focus on using smart phone to replace the traditional stethoscope and cuff-based measurement technique. The technique we proposed is based on the linear model between SBP and PWTT. ADVANTAGE  More efficient  Low cost  Easily measure
  • 3. ANDROID based on Embedded System BLOCK DIAGRAM 8 0 5 1 Blue Tooth Modem Max-232 Power Supply LCD Temp Heart Beat
  • 4. ANDROID based on Embedded System POWER SUPPLY BLOCK DIAGRAM HARDWARE REQUIREMENTS  ECG Electrode  Finger Pulse Sensor  ECG Acquisition Module  PPG Acquisition Module Stepdown Transformer Filter Regulator OutputBridge Rectifier
  • 5. ANDROID based on Embedded System  Micro controller 8051  Bluetooth Module  Android Mobile SOFTWARE REQUIREMENTS  KEIL COMPILER  PROTEUS SOFTWARE