MAASTECH R.ASHOK KUMAR -+91 98402 34766/+91 81444 34766 www.maastechindia.com

1. EMBEDDED SYSTEM ANDROID
AUTOMATED HEALTH ALERTS USING IN-HOME SENSOR
DATA FOR EMBEDDED HEALTH ASSESSMENT
ABSTRACT:
An embedded system is a computer system with a dedicated function within a larger
mechanical or electrical system, often with real-time computing constraints. It is embedded as
part of a complete device often including hardware and mechanical parts. By contrast, a general-
purpose computer, such as a personal computer (PC), is designed to be flexible and to meet a
wide range of end-user needs. Embedded systems control many devices in common use today.
Modern embedded systems are often based on microcontrollers (i.e. CPUs with
integrated memory and/or peripheral interfaces) but ordinary microprocessors (using external
chips for memory and peripheral interface circuits) are also still common, especially in more
complex systems. In either case, the processor(s) used may be types ranging from rather general
purpose to very specialized in certain class of computations, or even custom designed for the
application at hand. A common standard class of dedicated processors is the digital signal
processor (DSP).
The project propose Motion, bed, and gait analysis sensors are installed in the homes of
seniors and monitored continuously for the purpose of detecting early signs of health change and
functional decline. Automated health alerts are sent to clinical staff as part of a clinical decision
support system. Embedded in each health alert is a link to a web interface for interactively
displaying the sensor data patterns. The health alerts facilitate early interventions; however, the
design and usability of the web interface greatly affect the effectiveness of the clinical decision
support system. Here, we present the analysis and redesign of the interactive web-based interface
for displaying the in-home sensor data.

2. EMBEDDED SYSTEM ANDROID
EXISTING SYSTEM:
 In this existing system presents studies designed to investigate health assessment. A
forward search was first retrospectively investigate the feature space of embedded in
home sensor. They also described prospective study using 1-d health alerts.
 Clinical rating on the health alerts were provided by clinicians and used to train and test
multi-D classifiers.
 The best 6-D performance have achieved by a FPT based on domain knowledge
although, the SVM(Trained on labeled training data) had similar performance.
PROPOSED SYSTEM:
 sensor-network-based home monitoring system for elderly activity behavior involves
functional assessment of daily activities. In this paper, we reported a mechanism for
estimation of elderly wellbeing condition based on usage of house-hold appliances
connected through various sensing units
 In this project, we discuss the analysis and redesign of a web-based interface for
displaying in-home sensor data. Different types of sensor data are collected in the homes
of seniors in order to capture health status and activity.
 Sensors installed in the home include passive infrared (PIR) motion sensors, a bed sensor
for capturing pulse, respiration, and sleep patterns.
 capturing in-home gait and fall risk using MEMS sensor and Temperature and heartbeat
value will be monitored and display the LCD, and we have to use Bluetooth update the
sensor data in website and also status will be send the doctor e-mail.
 If PIR and MEMS, bed Sensor not detect means send the message alert.

3. EMBEDDED SYSTEM ANDROID
BLOCK DIAGRAM:
1. TRANSMITTER UNIT
2. RECEIVER UNIT
Power Supply Unit
Step down
Transformer
(230 to 12v AC)
Bridge
Rectifier
Filter
Circuit
Voltage
Regulator (IC
7805)
Micro
controller
LCD Display
Bluetooth
module
UART
Bed Sensor
ADC
MEMS
Sensor
PIR Sensor
Temperature
sensor
Heart Beat
Sensor

4. EMBEDDED SYSTEM ANDROID
HARDWARE REQUIREMENTS
 Microcontroller
 Bed Sensor
 PIR Sensor
 MEMS
 Temperature Sensor
 Heart Beat Sensor
 UART
 Bluetooth
 ADC
 LCD Display
 Power supply unit
SOFTWARE REQUIREMENTS
 Keil compiler
 Embedded C