Successfully reported this slideshow.

Scalable Wireless ECG Streaming

0

Share

Upcoming SlideShare
Physical layer of 5 g
Physical layer of 5 g
Loading in …3
×
1 of 19
1 of 19

More Related Content

Related Books

Free with a 14 day trial from Scribd

See all

Related Audiobooks

Free with a 14 day trial from Scribd

See all

Scalable Wireless ECG Streaming

  1. 1. Scalable Wireless ECG Streaming Mo Alloulah, Mark Dawkins, and Alison Burdett Toumaz MobiCASE ’16 - 30 Nov 2016
  2. 2. Outline • Context • Problem (formulation + approach) • Results
  3. 3. Digital healthcare • wireless vital sign monitoring • patients, elderlies, wellness • @ forefront of 1st IoT wave • ultra low-power + small form factor • challenging system-level design • integration (analogue + digital) • medical-grade algorithms • cross-layer in DSP • machine learning for diagnosis
  4. 4. The Patch • designed to record and wirelessly relay • medical-grade vital signs • temperature • blood pressure • respiration • heart rate • electrocardiogram (ECG) • example use case • surgical ward monitoring of patients at risk of deterioration following serious procedures • e.g. organ transplant • early detection * Toumaz Healthcare. 2nd generation SoC Functional Specifications. Technical report, July 2016.
  5. 5. Current Medical Practice • Nurses rota e.g. every 6 hours • archaic! • Ageing population* • unsustainable demand • Healthcare automation • imperative! * United Nations (2015). World Population Prospects: The 2015 Revision.
  6. 6. Business Case • Scaling per-night & per-bed cost • intensive care unit (ICU) • heavy instrumentation e.g. bedside monitor • $$$ • general ward • order of magnitude cost reduction ICU general ward i.e. cache patients
  7. 7. Problem: ECG Streaming • Hospital requires continuous ECG streaming • wirelessly • reliably (medical-grade QoS) • up to 32 co-located users • for 48 hours • on a single charge • i.e. approximate performance of expensive bedside monitor using low-cost disposable patches and scale vs.
  8. 8. Electrocardiogram* The Heart* * Navas, S., Atrial Fibrillation: part 1. Nursing standard, 2003. 17(37): p. 45-54.
  9. 9. BAN channel • Pathloss stats • Walking • red 900M • blue 2.4G • distribution • function of • distance • angle • frequency band • Non-wide-sense-stationary body area network channel • variable pathloss
  10. 10. Pathloss variabilities – two examples 2.4G, 4m, 90o 900M, 2m, 180o
  11. 11. Approach: joint source-channel coding • Borrowed concepts from mobile wireless video • Szymon Jakubczak and Dina Katabi. 2011. A cross-layer design for scalable mobile video. MobiCom '11. ACM, New York, NY, USA, 289-300. • Siripuram Aditya and Sachin Katti. 2011. FlexCast: graceful wireless video streaming. MobiCom '11. ACM, New York, NY, USA, 277-288. • Degradable ECG Streaming • burn minimal current in transmission • instantaneous channel determines signal quality
  12. 12. Proposition • Transform separate source coding (i.e. compression) and channel coding (i.e. error protection) into one linear operator èwaveform degradation proportional to channel errors èrelax link budget èconserve current at patches Channel error protection source compression compression + error protection waveform bits waveform
  13. 13. How • Block operator • extract ECG similarities in a block • within a cycle • across cycles
  14. 14. But • ECG can be all sorts • e.g. rate, morphologies
  15. 15. Putting it together: System Architecture
  16. 16. Evaluation • Performance • very good compression & distortion • across ECG morphologies • scalability • relax link budget • increase network capacity • robustness • combat channel variations, contention, and interference • low power • save current in RF circuitry • Linear coding • gracefully degradable ECG
  17. 17. Thank you
  18. 18. Vital Signs Monitoring – at a glance * Miguel Silveira. Introduction to biomedical algorithms, Sensium Healthcare, 2016.

×