Hassle-Free Wearables for Health and Environmental Monitoring

Transcription

1 Hassle-Free Wearables for Health and Environmental Monitoring NSF Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST) John Lach Associate Director for Translational Research, ASSIST Professor & Chair of ECE, University of Virginia 1

2 Desired Features of Health Wearables self-powered or ultra-long battery life multi-modal sensing modular and open architecture secure wireless communication comfortable/ user compliant These properties can enable a transition towards managing wellness Monitoring of health and environmental exposures over long periods of time Increased compliance through hassle-free usage Correlation of multimodal sensors 2

3 Self-Powered/Low-Power Sensor Platforms From Nanocomponents to Nanosystems High energy density storage High harvested power levels Low power computation Low power communication Low power sensors Improved sensitivity for sensors Flexibility, stretchability and wearability Supply& Energy& Storage& Energy& g& Harves3n & Demand ent& m e g a n a Energy&M nd& Health&a nsors& tal&se n e m n o r Envi 3o n & a c i n u m Co m 3o n & a t u p m o C iabil l e R & d n a & racy u c c A &, y t i l Wearabi ity& 3

4 ASSIST Research Thrusts Health & Environmental Tracker Self-Powered Adaptive Platform V. Wearability and Data IV. Low Power System on Chip III. Low Power Wearable Sensors II. Low Power Emerging Nanoelectronics I. Energy Harvesting and Storage Unique game changing ASSIST technologies Enabling ASSIST technologies for testbed 4

5 HET 1.0 ASSIST VISION: Correlation of health and environmental multimodal sensing data leading to intelligent action ASSIST Application: Exposure related respiratory health Low power gas sensors Hydration and gas sensor selectivity and sensitivity Biocompatibility of stretchable electrodes on skin Ultra-low power front ends, SoC and radios Data correlation and user feedback for respiratory health monitoring 5

6 SAP 1.0 ASSIST VISION: Self-powered cardiac and motion sensing ASSIST Application: Self-powered vigilant ECG monitoring Extracting sufficient power and robust ECG signal from arm Validation and debugging of high complexity SoC Long term placement Low power data storage Data correlation/algorithms 6

7 HET 1.0 Total Power Consumption 1 10 mw COTS Chest Patch 10 mw 100 Wrist Band 7

8 Ultra Low Power System on Chip 0.13 µm CMOS 2.5 mm 19µW total chip power from 30 mv input supply TX EN TX DATA 3.3 mm Time (s) Calhoun et al., ISSCC 2012 Calhoun / Wentzloff Battery-Free ECG < 20µW relying only on energy harvesting and storage capacitors. 8

9 Harvesting Heat from the Body Flexible Heatsink & Small Form Factor Skin Heat Resistance Heat Flow Lateral through Filler Contact Heat Spread Resistance Vertical Heat Flow Through Polymeric Substrate Ozturk Flexibility & Small Form Factor are both desirable Parasitic Thermal Resistances Skin - a thermal insulator Contact Resistance Flexible substrate Heatsink Useful ΔT ~ 1 2 oc

10 Comparison with Commercial TE Devices ASSIST COTS COTS ASSIST ASSIST Voc Isc 2 (mv/cm ) (ma/cm2) COTS Pout (µw/cm2) Used 14.3 cm2 spreader on both sides. Vashaee Stationary Airflow Stationary Air flow Stat. Air flow Stat. Air flow 10

11 ALD-MOx-based gas sensors operating at room temperature can selectively sense ozone 10 nm ALD SnO2 Sensing power consumption <50 nw Sensor reset by UV exposure Projected power with 2% UV duty cycle and optimized packaging ~100 µw O3:NO2 selectivity >3:1 11

12 HET 1.0 Total Power Consumption 1 10 mw 100 COTS Chest Patch GEN-1 Customized Oﬀ the Shelf Technologies 1 Chest Patch 10 mw 100 ASSIST Custom Technologies 1 10 mw Wrist Band Wrist Band 10 mw

13 HET 1.0 ASSIST VISION: Correlation of health and environmental multimodal sensing data leading to intelligent action ASSIST Application: Exposure related respiratory health Low power gas sensors Hydration and gas sensor selectivity and sensitivity Biocompatibility of stretchable electrodes on skin Ultra-low power front ends, SoC and radios Data correlation and user feedback for respiratory health monitoring 13

14 Evolution of Nano-Enabled Health and Environmental Tracker Testbed ASSIST VISION: Correlation of health and environmental multimodal sensing data leading to intelligent action ASSIST Application: Exposure related respiratory health Low power gas sensors Hydration and gas sensor selectivity and sensitivity Biocompatibility of stretchable electrodes on skin Low power front ends, SoC and radios Data correlation and user feedback for respiratory health monitoring

15 HET 2.0 ASSIST VISION: Generation of a sophisticated wellness picture by measuring biochemical parameters non-invasively, continuously and long-term. ASSIST Application: Glycemic index management Extraction of sweat from skin Continuous, repeatable and specific glucose and lactates biomarker measurements Exploration of minimally-invasive and low power ISF extraction Low power pulse-oximetry and blood pressure Long term placement on skin Data correlation and user feedback 15

16 Evolution of Nano-Enabled Health and Environmental Tracker Testbed ASSIST VISION: Generation of a sophisticated wellness picture by measuring biochemical parameters noninvasively, continuously and long-term. ASSIST VISION: Correlation of health and environmental multimodal sensing data leading to intelligent action ASSIST Application: Exposure related respiratory health Low power gas sensors Hydration and gas sensor selectivity and sensitivity Biocompatibility of stretchable electrodes on skin Low power front ends, SoC and radios Data correlation and user feedback for respiratory health monitoring ASSIST Application: Glycemic index management Extraction of sweat from skin Continuous, repeatable and specific glucose and lactates biomarker measurements Exploration of min-invasive and low power ISF extraction Low power pulse-oximetry and blood pressure Long term placement on skin Data correlation and user feedback

17 HET 3.0 ASSIST VISION: Creation of a revolutionary compliance detector that closes the loop on medication intake and provides real time drug efficacy and drug to drug interaction data ASSIST Application: Medication efficacy monitoring and dosage adjustment for personalized medicine Minimially invasive and low power extraction of ISF Identification of critical drugs (e.g. diuretic) Continuous, repeatable and specific measurements of 1-3 drugs in sweat and ISF Data correlation and user feedback 17

18 Evolution of Nano-Enabled Health and Environmental Tracker Testbed ASSIST VISION: Creation of a revolutionary compliance detector that closes the loop on drug intake and provides real time drug efficacy data and drug to drug interaction ASSIST VISION: Correlation of health and environmental multimodal sensing data leading to intelligent action ASSIST Application: Exposure related respiratory health Low power gas sensors Hydration and gas sensor selectivity and sensitivity Biocompatibility of stretchable electrodes on skin Low power front ends, SoC and radios Data correlation and user feedback for respiratory health monitoring ASSIST VISION: Generation of a sophisticated wellness picture by measuring biochemical parameters non-invasively, continuously and long-term. ASSIST Application: Drug efficacy monitoring and drug dosage adjustment for personalized medicine ASSIST Application: Hypoglycemia related health conditions Extraction of sweat from skin Continuous, repeatable and specific glucose and lactates biomarker measurements Exploration of non-invasive and low power ISF extraction Low power pulse-oximetry and blood pressure Long term placement on skin Data correlation and user feedback Min.invasive and low power extraction of ISF Continuous, repeatable and specific measurements of 1-3 drugs in sweat and ISF Identification of critical drugs (e.g. diuretic) Data correlation and user feedback

19 Evolution of Nano-Enabled Self-Powered Adaptive Platform Testbed SAP 1.0 Self-powered cardiac and motion sensing Extracting sufficient power and robust ECG signal from arm Validation and debugging of high complex SoC Long term placement Low power data storage Data correlation/algorithms SAP 2.0 Self-powered wearable health patch with bioelectric and optical sensing Multimodal harvester > 1mW in wearable form factors Ultra low power blood pressure and pulse-ox compatible with harvested power levels Low power on-chip data processing Maximizing functionality and minimizing power levels Data correlation on wearable node SAP 3.0 Mesh network and connectivity between multiple wearable and fixed infrastructure nodes Context aware adaptable system for robustness Converting data to information Self-powered wearables and infrastructure sensors On node processing capability

22 Holistic Partnerships Energy Harvesting Ultra Low Power Electronics Sensors Health, Textiles & Data 2 2

23 Impact Self-Powered sensing can Enable Wearable Health Platforms with multi-modal continuous and vigilant monitoring Overcome barriers of compliance Identify trends in data not available today Enable correlation of health and environmental exposures Provide Enable cortisol multi-modal sensing for sophisticated picture of health long term access to biomarkers such as glucose and Provide non-invasive sweat or minimally invasive ISF based sensing Provide a sophisticated picture of health 23

24 Abundance Self-Powered sensing can Wearable Health Platforms with multi-modal Improve health and wellness through personalization and prevention Reduce healthcare costs and improve healthcare access Empower Increase Enable individuals to control their own health production volume through integrated system fabrication environmentally-friendly disposables 24

25 Hassle-Free Wearables for Health and Environmental Monitoring NSF Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST) John Lach Associate Director for Translational Research, ASSIST Professor & Chair of ECE, University of Virginia 25