WIRELESS OPTICAL COMMUNICATION (WOC)

1. GERIATRIC CARE SYSTEM USING
ELECTRONICALLY CONTROLLED
AIR JACKET
GUIDED BY,
ANJALI G
HOD OF EC DEPARTMENT
MZIST KOZHUVALLOOR
PRESENTED BY,
AKSHERAASOKAN
S7 EC
MZW16EC001
MZIST KOZHUVALLOOR

2. CONTENTS
 INTRODUCTION
 LITERATURE REVIEW
 COMPONENTS REQUIRED
 PROPOSED SYSTEM
 CIRCUIT DIAGRAM
 ADVANTAGES
 DISADVANTAGES
 APPLICATIONS
 CONCLUSION
 FUTURE ENHANCEMENT
 REFERENCES

3. INTRODUCTION
• Elderly individuals are the quickest growing section of the
total populace.
• Fall and fall related injuries are responsible for 70 % of
accidental death.
• Hip fractures are common in older people.
• Older people who are living alone have the highest risk of
delayed medical intervention.

4. INTRODUCTION(cont…)
• It is imperative to detect the falls as soon as they occur.
• Detect and minimize the impact of fall.
• Sending the information of the fall event to the caregivers.

5. LITERATURE REVIEW
PATIENT MANAGEMENT SYSTEM
• The design interface of earlier system are too large for use.
• Provides the benefits of streamlining of operations.
• Enhanced administration and control
• Improved response, cost control and improved profitability.
• System has admin, doctor, administration and patient modules.
• Patient can send online request for appointment.

6. LITERATURE REVIEW
Developing Patient Monitoring System Using Android
Technology
• Day by day health problems and health concern are
increasing.
• Availability of treatments
• Needs of health care’s provider’s presence near the bedside of
the patient.
• Patient is restricted to bed and wired to large machine.

7. COMPONENTS REQUIRED
• Power supply
• Microcontroller
• Pressurized plastic bag
• Air pump
• Air jacket
• GSM module
• Analog to digital converter
• Sensor circuit
• Solenoid

8. PROPOSED SYSTEM

9. PROCESS FLOW
• Input stage - MEMS Accelerometer
• Processing stage – Microcontroller
• Trigger stage – Arrangement of pressurized plastic bags ,
miniaturized air pumps , solenoid valve
• Communication Stage – GSM Module and GPS Module

10. INPUT STAGE
• Taking the input from the sensor.
• MEMS accelerometer is used.
• Measures the acceleration in all three axis.
• The output of the accelerometer is sent to the processing
stage.

11. PROCESSING STAGE
• Most important stage of the system.
• Microcontroller PIC18F46K22 is used.
• Brain of the system.
• The user’s acceleration is continuously monitored.

12. TRIGGER STAGE
• To mitigate the hazardous impact of fall.
• The Microcontroller module activates the solenoid valve .
• The inflated airbag is now filled with air from the pressurized
plastic bags.

13. COMMUNICATION STAGE
• Informing the caretakers regarding the fall event.
• GSM Module and GPS Module is used.
• Tele-operator services contact the nearest ambulance service.

14. CIRCUIT DIAGRAM

15. ADVANTAGES
• The fall has been detected.
• Mitigating the harmful impact of fall.
• User’s location can be easily found.
• Request for help is sent to the caregivers.
• The module is designed in the form of a wearable jacket.

16. DISADVANTAGES
• It requires a non-negligible warm-up time to understand the
problem of falls fully
• System is complex

17. APPLICATIONS
• The GSM module will capable of locating the nearest
hospital.
• Display the ECG signal on the doctor’s mobile phone.
• Send EEG and EMG signals for analysing.

18. CONCLUSION
• Fall detection system requires a non-negligible warm-up time.
• The most relevant approaches have been described.
• To provide guidelines to speed up the design process of a new
fall detection system.
• Presumable that even if the complexity of predictive system
increases.

19. FUTURE ENHANCEMENT
• GSM module will be capable of locating the nearest hospital.
• Transmitting the message to the concerned doctor.
• Possible to transmit the victim's medical conditions at the
time of fall.
• Send EEG and EMG signals.
• Display the ECG signal on the Doctor’s mobile phone.

20. REFERENCES
[1] Aleksandra C. Zoric, SinisaS.llic, “PC Based Electrocardiography & Data
Acquisition “, TELSIKS, IEE, pp 619-622, September 28-30 2005
[2] Tia Gao , Dan Greenspan, Matt Welsh , Radford R. Juang, and Alex Alm,
“Real Time Patient Monitoring System Using Lab view”, International Journal
of Scientific & Engineering Research, April-2012.
[3] Sherin Sebastian, Neethu Rachel Jacob, “ Remote Patient Monitoring System
Using Android Technology”, IJDPS, September 2012. Prema Saramund ,
International Journal of Computer Science and Mobile Computing Vol.2
Issue.5 ,May-2013, pg. 191-201 2013, IJCSMC All Rights Reserved.

21. THANKS