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SMART CLOTHES

SMART CLOTHES. Presented By: Muhammad AlShamari Ottawa University Muhammad Aslam Malik Carleton University Multimedia Communications

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SMART CLOTHES

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  1. SMART CLOTHES Presented By: Muhammad AlShamari Ottawa University Muhammad Aslam Malik Carleton University Multimedia Communications Date:12th Nove-2010

  2. Outline • Introduction • Background • Types of Smart Clothes • Related works • Research Objectives • Proposed approach • Process of Heart Monitoring • Proposed Model • Proposed ICC Control Room-Evaluation • 5. Evaluation • Conclusion • References

  3. 1.0 INTRODUCTION • Background • What is smart clothes? • Why Smart clothes? • Where do we use smart clothes? • The Hosiery of using Smart clothes for health care • S.Park and S.Jayaraman, "Adaptive and responsive textile structures,” • AND "The wearable motherboard: the first generation of adaptive and responsive textile structures (ARTS) for medical applications," Journal of Virtual Reality, vol. 4, pp. 152-168, 1999.

  4. 1.0 INTRODUCTION • TYPES OF SMART CLOTHES • Smart Shirt for Charging of iPod during walking or running • Motion Detecting Pants • Proximity Sensing Shirt • Heart Monitoring Shirts and Bra • Networked Jackets • Nano-fibres knitted shirt • Biosensor Underwear • Thought Helmet • iPod Watch • Smart Running Shoes • Neural Headset

  5. Types of Smart Clothes (Cont.)

  6. Wearable Physiological Signal Devices 6

  7. 1.0 INTRODUCTION Fashion INTELLIGENT BIOMEDICAL CLOTHING Biomedical Engineering. Nano-Tech. Wireless And Telecom. Smart Clothes

  8. Research Objectives 1.0 INTRODUCTION • To provide comfort to the people by wearing smart shirt, so that monitoring of heart rate, respiration, temperature, etc can be made possible, improving the patient’s health care • To support military personnel and firemen in dealing with hazardous situations

  9. 1.0 RELATED WORKS There are many related works but these are the most important papers: Dittmar A, Delhomme G, Roussel P, et al. Biomedical micro-sensors and microsystems.REE 1997;8:13–22. Ogawa M, Togawa T. Monitoring daily activities and behaviours at home by using brief sensors. Presented at the 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology, Lyon, France, 2000. D. Curone, A. Tognetti, E. L. Secco, G. Anania, N. Carbonaro, D. De Rossi, and G. Magenes. Heart Rate and Accelerometer Data Fusion for Activity Assessment of Rescuers During Emergency Interventions. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 14, NO. 3, MAY 2010

  10. Proposed Model 1.0 INTRODUCTION What is the issue that are we trying to solve it? Are we realistic about the project?

  11. Proposed Model 1.0 INTRODUCTION Body Area Network • Chronic diseases require continuous long term monitoring instead of episodic assessments, and thus wearable smart clothes provide comfort to the patients. • Wearable smart clothes use Bluetooth for providing wireless communication interface, which is also called as the wireless body area network (WBAN) or body sensor network (BSN). • On providing the Global Positioning System (GPS) embedded in the smart shirts the patient can be remotely monitored. This Personal Digital Assistance (PDA) technology is already being used. • Vital signs are collected and processed using a 3-tiered architecture as the body is carrying the mobile devices.

  12. Proposed Model 1.0 INTRODUCTION Body Area Network (Cont.) • This device perform some basic processing such as the heart monitoring and fatal failure detection. • The signal processing is performed by a local server using raw data continuously supplied by the mobile devices. • Raw data is stored at this server. • Data processing is performed and the analysis results are received at the Intensive Cardiac Care (ICC) control room monitor screen, where the data of all types of signals can be stored for diagnostic purposes and prompt action can be taken in case of critical situations. • Recording sites has to be selected where the amplitude is higher (closer to the heart)

  13. Proposed Model 1.0 INTRODUCTION Main Advantages Achieved By the Proposed FrameWork • BSN provides information about heart activity, temperature, respiration as well as movement. • ZigBee network provides reliable data transfer at low data rate. • Secure transmission of patient’s data over the BSN • Typically, a reserved channel is used for medical data transmission through wireless interface (industrial, scientific and medical (ISM) band). • Optimized analysis of the data is carried out using an adaptive architecture which enhances the utility of the processing as well as the computational capacity at each platform .

  14. Proposed Model 1.0 INTRODUCTION Process of Heart Monitoring Smart shirt is worn during any activity with embedded sensors monitor heart rate, respiration, temperature and other vital signs . Data is sent via satellite or cellular tower or ZigBee for short range from the smart shirt’s processor to an information hub. If any critical observation is noticed during monitoring, then emergency hub is immediately alerted and paramedics team can take prompt action without any delay. The information hub constantly monitors the smart shirt wearer’s vital signs for specific job or health-related hazards. Data continuously travels to a secure internet site where the smart shirt wearer can log on any time, anywhere to review.

  15. Process of Communication A data bus allows information to move between the sensor , processor, and wearer Electrical and optical conductive fibres are woven or knitted with common textile fibres and connected to the data bus Data Bus Sensors Main processor gathers and sends data via wireless link to the receiver processor

  16. Simplified Block Diagram of Smart Shirt Transmitter Skin Temperature Processor A/D ECG Respiration Wireless Link Movement Receiver Information Hub

  17. Graphical Interface (GUI) • The graphical interface organize interface & display respiration, ECG and more signals in particular order in separate axis from top to bottom • Current heart & respiration rates are displayed beside their respective signals • Meanwhile the skin temperature is displayed at the bottom-right corner beside movement axis • Each of the signal is displayed in a 10 second window, which slides forward in real-time once every second • The application allow the user to view historical data for each of the four signals through view menu in the menu bar • A selection can be made from any required noticeable variations

  18. Integration of Individual Units • All the circuits for each of the sensors were placed on a single circuit board compactly and the different signals were input to the processor

  19. Proposed Model Intensive Cardiac Care Control Room • The receiver at the Intensive Cardiac Care (ICC) control room receives the data in multiple packets sent by the main processor of the cardiac patient smart shirt. • Then the main processor of control room processes the signals and displays them on the screen. • The doctor and staff can monitor each patient in the ICU cardiac section through the wearable sensors shirt. • In the case of any critical situations, the prompt action can be taken without any delay. This step is proposed as the 1st step for protection. • In the 2nd step, as soon as the signal reaches the critical point, the buzzer will be energised. This has been introduced due to the reason that sometimes staff make negligence in monitoring critical signal. • Thus my proposed additionsinto the existing system will provide better health care in extreme prompt level.

  20. Commercial Applications • Medical Monitoring • Disease Monitoring • Infant monitoring • Obstetrics Monitoring • Clinical Trials Monitoring • Athletics • Biofeedback • Military Uses

  21. Advantages • Smart Shirt Wearable are customizable to fill different needs. • Ensure prompt action for life saving by paramedics • Infants can be monitored for sleep apnoea and other infant disorders. • Postoperative monitoring offers a greater sense of security and improves quality of life. • Monitoring in police and military applications can enhance job safety and performance. • Firemen can be monitored for smoke-inhalation, and alerted when in danger. • Remote monitoring improves heart failure patients’ health, may reduce hospital readmissions.

  22. Top Recording Sites Vs Heart Valves 22

  23. Challenges • Complex • Sensor placement effects, a major technical challenge in the wearable systems • Choose of best recording sites for use of selection algorithms • Sensors are not chargeable • Unreliable wireless network • Short range ZigBee network • Low data rates 23

  24. Future Considerations • It allows a patient’s vital signs to be monitored remotely at a relatively short range without the use of communication cable. • Lot of room is available for further improvement in the future • It is proposed that loss of data due to a wireless outage can be prevented by developing and interfacing a local data logging system to the processor at the transmitter end. • If an outage is detected, the processor could begin to locally store data which is required from different sensors to a memory card, and continue to do so until the communication link has been re-established. • Once this occur, the data stored on the card could be extracted and transmitted to the information hub at much higher speed. 24

  25. CONCLUSION • Wearable smart shirts provide modern health care facilities with continuous monitoring of vital signs and other health-related information of a patient. • Sensors and processor are embedded within the smart shirt knitted through a manufacturing process. • This wearable small shirt enables the patient to connect to a network of sensors which are connected via a wireless communication link to the host device which is located at the beside enabling continuous health monitoring system • All the data delivered by sensors are sent by transmitter over a wireless link to information hub (ICC control room). • Additional information such as heart and respiration rates are also determined from the corresponding signals and displayed on the screen. • The proposal is realizable with vision and determination.

  26. References 1.0 INTRODUCTION Dittmar A, Delhomme G, Roussel P, et al. Biomedical micro-sensors and microsystems.REE 1997;8:13–22. Ogawa M, Togawa T. Monitoring daily activities and behaviours at home by using brief sensors. Presented at the 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology, Lyon, France, 2000. D. Curone, A. Tognetti, E. L. Secco, G. Anania, N. Carbonaro, D. De Rossi, and G. Magenes. Heart Rate and Accelerometer Data Fusion for Activity Assessment of Rescuers During Emergency Interventions. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, VOL. 14, NO. 3, MAY 2010

  27. References 1.0 INTRODUCTION • Park S and Jayaraman S, “Enhancing the quality of life through wearable technology”, IEEE Engineering in Medicine and Biology Magazine, pp 41- 48, (22) 2003. • http://www.sensatex.com/ • P. Hult, T. Fjällbrant, B. Wranne, O. Engdahl, P. Ask, “An improved bioacoustic method for monitoring ofrespiration,” Technology and Health Care, 2004,Volume 12 Issue 4. • Dewar D. Finlay, Chris D. Nugent, Mark P. Donnelly, Paul J. McCullagh, and Norman D. Black.” Optimal Electrocardiographic Lead Systems: Practical Scenarios in Smart Clothing and Wearable Health Systems” Manuscript received June 2, 2006; revised January 29, 2007.

  28. Thanks for Listening Comments & Questions

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