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Allergy Notification

Allergy Notification. Context – aware Location – Based Paramedics Support. Lakshmie Narayan Viswanathan Sivaguru Perambalam Brandon Logsdon. Why Allergy Detection ?. What is Allergy anyway ?.

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Allergy Notification

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  1. Allergy Notification Context – aware Location – Based Paramedics Support Lakshmie Narayan Viswanathan SivaguruPerambalam Brandon Logsdon

  2. Why Allergy Detection ?

  3. What is Allergy anyway ? • A condition in which our body’s immune system overreacts to normally harmless substances, like dust, mold, and pollen • Body responds by releasing “histamine” - leads to those uncomfortable allergy symptoms. • Also known as hypersensitivity type 1, it is a major cause of ailments in humans

  4. Incidence • 6th leading cause of chronic disease in the United States • More than 50 million Americans suffer from allergic diseases • allergic rhinitis cost to the health care system in 1996 an estimated overall of $6 billion • Hymenoptera stings account for 40 to 100 deaths per year • Risk factors: beta-blockers, adrenal insufficiency

  5. Clinical Manifestation • Severity varies from mild to fatal • Most reactions are respiratory, dermatologic • Less severe early findings may progress to life-threatening over a short time • Initial signs/symptoms do NOT necessarily correlate with severity, progression, duration of response • Generally, quicker symptoms = more severe reactions

  6. Symptoms

  7. Causes of Deaths • Laryngeal edema and acute bronchospasm with respiratory failure account for >70% • Circulatory collapse accounts for 25%

  8. Why Android ? • Android expected to be used in smart devices other than phones – Android Partners. • Application can be built for a smart device like Mobile Sensing Platform (MSP) discussed in the BALANCE application – Reduces System Cost. • Numerous other advantages as discussed already in class.

  9. Relevance to Known Applications • BALANCE • SATIRE • mSens Mobile Health Monitoring System - Srdjan Krco, Srdjan Kostic, Dejan Sakac, Zoran Lukic • A Mobile Health Device to Help People with Severe Allergies - Luis U. Hernandez Munoz, Sandra I. Woolley and Chris Baber

  10. Class Diagram - Client

  11. Class Diagram - Server

  12. Data Flow

  13. Wheezing Agent • Wheezing would be monitored by wearable microphone sensor. • Information periodically sent to the server every 5 minutes for processing. • May be altered through condition policy. • Once detected - periodicity reduced exponentially • Triggers flushing and BP agents.

  14. BPAgent   The Blood Pressure Agent will send sensor data on a person’s systolic, diastolic, and pulse. • Systolic: The blood pressure when the heart is contracting. • Diastolic: Referring to the time when the heart is in a period of relaxation and dilatation. • Pulse: The rhythmic contraction and expansion of an artery due to the surge of blood from the beat of the heart. Will use a random data model to simulate systolic, diastolic, and pulse.

  15. Flushing Agent • Flushing is to be detected by a wearable temperature sensor. • Triggered to monitor temperature information to be sent to the phone • The Flushing Agent will send sensor data on a person’s level of flushing. • The information sent from the sensor will be transformed into an index of severity, based on thresholds set by the physician.

  16. Condition Manager • The condition manager reads in a condition policy which is in a standard XML file. • Condition policy – defines the threshold for individual sensors reading. • Agents invoked on the basis of this. • Set by the physicians.

  17. Emergency Plan Manager • The Emergency Plan Manager(EPM) reads in an emergency plan policy which is in a standard XML file. • Possible critical condition detected - Alert Parent or Care giver – Wait for Response – Attain location information. • No Response for 2 minutes - Contact 911(EMS) by SMS or IVRS Call.

  18. Protocol • pseudo-xml format - keeps information exchange light yet effective. • <tag1>……….</tag1><tag2>…….</tag2>…. • Sample protocol exchanges:  • Client: <wheezing>AB CE DF FB 1A C3 9F …….. AC CC BC </wheezing> • Server: <wheezing>120</wheezing><flushing>1 </flushing> • Client: <wheezing>120</wheezing><flushing>100 </flushing> • Server: <wheezing>120</wheezing><flushing>100 </flushing><bp>1</bp> • Client: <wheezing>120</wheezing><flushing>100 </flushing><bp>120/60</bp>

  19. User Interface

  20. Design Constraints • Energy consumption – Battery back up to last for a day at least • Switch GPS ON only when allergy detected. • Sensors should be wearable and easy to use • Unobtrusive • Economical

  21. Test strategy Unit Test Plan: • Each code segment would be tested for correctness of output. • The computation of indices for wheezing, flushing and BP would be checked.  Integration Test Plan: • The AgentInvoker would be tested for invoking the right agent on input. • The condition policy module would be checked that if the xml is altered, the appropriate agent is affected. System Test Plan: • The indices of the sensors would be altered and checked if the SMS module is triggered.

  22. Future Enhancements • Data Security is important • Expected - sensors / agents can perform data validation like discussed by Ayan & Karthik • Integration with Allergy Alert application by Jeff & Sam. Can be used to alert other parents of a high pollen or pollution alert. • Modify application for other smart device. • Implement IVRS Calling feature

  23. Data Security • Privacy of vital signs information • To prevent potential hackers who could try to fake an allergy condition • Prevent data identity mismatch

  24. References • A. Alic, I. Lackovic, V. Bilas, D. Sersic and Ratko Magjarevic, “A Novel Approach to Wheeze Detection,” World Congress on Medical Physics and Biomedical Engineering 2006, IFMBE Proceeding, Vol. 14, Springer Berlin Heidelberg, 2007, 963-966. • Y Qiu, A R Whittaker, M Lucas, K Anderson, “Automatic wheeze detection based on auditory modeling,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, Volume 219, Number 3 / 2005, Professional Engineering Publishing, 219-227. • Meng-Lun Hsueh; Jen-Chien Chien; Feng-Chia Chang; Huey-Dong Wu; Fok-Ching Chong, "Respiratory Wheeze Detection System," IEEE-EMBS 2005. 27th Annual International Conference of theEngineering in Medicine and Biology Society, 2005, pp. 7553-7559, 17-18 Jan. 2006. • Feng Jin, Satttar, F., "A New Automated Approach for Identification of Respiratory Sounds," 2007 IEEE International Conference on Multimedia and Expo, pp. 356-359, 2-5 July 2007. • Geonames. www.geonames.org. • Luis Hernandez’s Website. http://postgrad.eee.bham.ac.uk/hernandez-munoz/Research.html

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