Special Session: Physically Flexible Devices for Health and Activity Monitoring: Challenges from Design to Test

Recent developments in stretchable and flexible sensing and processing technologies enable a wide range of wearable devices. These devices can pave the way to medical applications ranging from health and activity monitoring to diagnosis and treatments of movement disorders. However, recent studies show that this potential is hindered by both adaptation challenges that affect the end users and technology challenges faced by developers. This paper first summarizes the challenges faced by wearable devices targeting health and user activity monitoring applications. Then, it reviews recent research progress towards addressing these challenges in energy harvesting, energy management, flexible system design, and test areas.

[1]  Jaehyun Park,et al.  Multi-objective design optimization for flexible hybrid electronics , 2016, 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[2]  K. Harris,et al.  Flexible electronics under strain: a review of mechanical characterization and durability enhancement strategies , 2016, Journal of Materials Science.

[3]  Michele Magno,et al.  An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors , 2016, Sensors.

[4]  Umit Y. Ogras,et al.  OpenHealth: Open-Source Platform for Wearable Health Monitoring , 2019, IEEE Design & Test.

[5]  P. D. Mitcheson,et al.  Ambient RF Energy Harvesting in Urban and Semi-Urban Environments , 2013, IEEE Transactions on Microwave Theory and Techniques.

[6]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[7]  Yang Xiao,et al.  A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks , 2006, Mob. Networks Appl..

[8]  Luca Benini,et al.  Context aware power management for motion-sensing body area network nodes , 2014, 2014 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[9]  Max A. Little,et al.  Technology in Parkinson's disease: Challenges and opportunities , 2016, Movement disorders : official journal of the Movement Disorder Society.

[10]  Tolga Soyata,et al.  RF Energy Harvesting for Embedded Systems: A Survey of Tradeoffs and Methodology , 2016, IEEE Circuits and Systems Magazine.

[11]  Kanad Ghose,et al.  A Wearable Flexible Hybrid Electronics ECG Monitor , 2016, 2016 IEEE 66th Electronic Components and Technology Conference (ECTC).

[12]  Kwang-Ting Cheng,et al.  Process Design Kit and Design Automation for Flexible Hybrid Electronics , 2019, 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE).

[13]  Ali Javey,et al.  Wearable sweat sensors , 2018 .

[14]  Dale G. Wilson,et al.  Electromechanical Reliability Testing of Flexible Hybrid Electronics Incorporating FleX Silicon-On-Polymer Ics , 2016, 2016 IEEE Workshop on Microelectronics and Electron Devices (WMED).

[15]  Deqing Mei,et al.  Design of a Wearable Thermoelectric Generator for Harvesting Human Body Energy , 2017 .

[16]  Purushottam Kulkarni,et al.  Energy Harvesting Sensor Nodes: Survey and Implications , 2011, IEEE Communications Surveys & Tutorials.

[17]  K. Malmgren,et al.  Wearables in epilepsy and Parkinson's disease—A focus group study , 2018, Acta neurologica Scandinavica.

[18]  Rajeevan Amirtharajah,et al.  A hybrid RF and vibration energy harvester for wearable devices , 2018, 2018 IEEE Applied Power Electronics Conference and Exposition (APEC).

[19]  J. Jankovic,et al.  Continuous in-home monitoring of essential tremor. , 2014, Parkinsonism & related disorders.

[20]  Tuomas Happonen,et al.  Reliability Study on Adhesive Interconnections in Flex-to-Flex Printed Electronics Applications Under Environmental Stresses , 2014, IEEE Transactions on Device and Materials Reliability.

[21]  Elena Nicolescu Veety,et al.  Wearable thermoelectric generators for human body heat harvesting , 2016 .

[22]  Sankalp Jain,et al.  Can systems extend to polymer? SoP architecture design and challenges , 2015, 2015 28th IEEE International System-on-Chip Conference (SOCC).

[23]  Alessandro Puiatti,et al.  Activity detection in uncontrolled free-living conditions using a single accelerometer , 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

[24]  Jean-Philippe Diguet,et al.  Reward Function Evaluation in a Reinforcement Learning Approach for Energy Management , 2018, 2018 16th Biennial Baltic Electronics Conference (BEC).

[25]  Rong Chai,et al.  Joint power allocation and coordinator deployment for Wireless Body Area Network , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[26]  Toan Nguyen Van,et al.  Flexible thermoelectric power generator with Y-type structure using electrochemical deposition process , 2018 .

[27]  Timothy F. O'Connor,et al.  The Language of Glove: Wireless gesture decoder with low-power and stretchable hybrid electronics , 2017, PloS one.

[28]  K. Hata,et al.  A stretchable carbon nanotube strain sensor for human-motion detection. , 2011, Nature nanotechnology.

[29]  Moon G. Lee,et al.  Wearable Biomechanical Energy Harvesting Technologies , 2017 .

[30]  Jaehyun Park,et al.  Instinctive Assistive Indoor Navigation using Distributed Intelligence , 2018, ACM Trans. Design Autom. Electr. Syst..

[31]  C. Dolea,et al.  World Health Organization , 1949, International Organization.

[32]  Hi Gyu Moon,et al.  Powerful curved piezoelectric generator for wearable applications , 2015 .

[33]  Tao Jiang,et al.  Toward the blue energy dream by triboelectric nanogenerator networks , 2017 .

[34]  K. J. Ray Liu,et al.  Power Scheduling for Energy Harvesting Wireless Communications With Battery Capacity Constraint , 2015, IEEE Transactions on Wireless Communications.

[35]  N. T. Panousis,et al.  Strength and reliability of ceramic modules soldered to flexible cables , 1990 .

[36]  Gregory L. Whiting,et al.  From Printed Transistors to Printed Smart Systems , 2015, Proceedings of the IEEE.

[37]  Torbjörn Eriksson,et al.  Bending machine for testing reliability of flexible electronics , 2017, 2017 IMAPS Nordic Conference on Microelectronics Packaging (NordPac).

[38]  Hitesh Joshi,et al.  Flexible PV-cell Modeling for Energy Harvesting in Wearable IoT Applications , 2017, ACM Trans. Embed. Comput. Syst..

[39]  Taylor Chomiak,et al.  A training approach to improve stepping automaticity while dual-tasking in Parkinson's disease , 2017, Medicine.

[40]  Nan Sun,et al.  Modular and Reconfigurable Wireless E‐Tattoos for Personalized Sensing , 2019, Advanced Materials Technologies.

[41]  W. Frontera.  The world report on disability. , 2012, American journal of physical medicine & rehabilitation.

[42]  Zhigang Chen,et al.  Utility-Optimal Resource Management and Allocation Algorithm for Energy Harvesting Cognitive Radio Sensor Networks , 2016, IEEE Journal on Selected Areas in Communications.

[43]  Kanad Ghose,et al.  Flexible Hybrid Electronics: Direct Interfacing of Soft and Hard Electronics for Wearable Health Monitoring , 2016 .

[44]  Michele Magno,et al.  Powering smart wearable systems with flexible solar energy harvesting , 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

[45]  Andrey S. Andrenko,et al.  Outdoor RF spectral survey: A roadmap for ambient RF energy harvesting , 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

[46]  Pradeep Lall,et al.  Development of Test Protocols for the Flexible Substrates in Wearable Applications , 2018, 2018 17th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm).

[47]  Behrouz Maham,et al.  Maximizing Spectral Efficiency for Energy Harvesting-Aware WBAN , 2017, IEEE Journal of Biomedical and Health Informatics.

[48]  T. Shakespeare,et al.  Editorial , 2011, Disability and rehabilitation.

[49]  Umit Y. Ogras,et al.  Determining Mechanical Stress Testing Parameters for FHE Designs with Low Computational Overhead , 2020, IEEE Design & Test.

[50]  Eryk Dutkiewicz,et al.  Dynamic power control in Wireless Body Area Networks using reinforcement learning with approximation , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[51]  Dingguo Zhang,et al.  A Novel Posture for Better Differentiation Between Parkinson's Tremor and Essential Tremor , 2018, Front. Neurosci..

[52]  Kubra Alemdar,et al.  Multiband Ambient RF Energy Harvesting Circuit Design for Enabling Batteryless Sensors and IoT , 2018, IEEE Internet of Things Journal.

[53]  Ranadeep Deb.  How Does Technology Development Influence the Assessment of Parkinson’s Disease? A Systematic Review , 2019 .

[54]  Kyung Sup Kwak,et al.  A Review of Wireless Body Area Networks for Medical Applications , 2009, Int. J. Commun. Netw. Syst. Sci..

[55]  Jaehyun Park,et al.  Near-optimal energy allocation for self-powered wearable systems , 2017, 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

[56]  Kwang-Ting Cheng,et al.  Design, Automation, and Test for Low-Power and Reliable Flexible Electronics , 2014, Foundations and Trends® in Electronic Design Automation.

[57]  Frank Egitto,et al.  Reliability Study and Finite Element Modeling of a Wearable Sensor Patch (WSP) to Monitor ECG Signals , 2018, 2018 IEEE 68th Electronic Components and Technology Conference (ECTC).

[58]  Mehmet C. Öztürk,et al.  Review of wearable thermoelectric energy harvesting: From body temperature to electronic systems , 2020 .

[59]  Suresh K. Sitaraman,et al.  Twist Testing for Flexible Electronics , 2019, 2019 IEEE 69th Electronic Components and Technology Conference (ECTC).