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  • Armgarth, AstridLinköpings universitet,RISE,Smart hårdvara,Linköping University, Sweden,Laboratoriet för organisk elektronik,Tekniska fakulteten,RISE Res Inst Sweden AB, Sweden (author)

A digital nervous system aiming toward personalized IoT healthcare

  • Article/chapterEnglish2021

Publisher, publication year, extent ...

  • 2021-04-08
  • NATURE RESEARCH,2021
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-296428
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296428URI
  • https://doi.org/10.1038/s41598-021-87177-zDOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-52956URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175994URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20210614
  • Funding details: Stiftelsen för Strategisk Forskning, SSF; Funding details: VINNOVA; Funding details: Japan Science and Technology Agency, JST; Funding details: Linköpings Universitet, LiU; Funding details: Knut och Alice Wallenbergs Stiftelse; Funding details: Centrum för Industriell Informationsteknologi, Linköpings Universitet, CENIIT, LiU; Funding text 1: Major funding for this work was provided by the Swedish Foundation for Strategic Research, Vinnova, and the Japanese Science and Technology Agency. Additional funding was provided by grants from the Knut and Alice Wallenberg Foundation and the Önnesjö Foundation. We wish to thank Andrey Maleev and Eric Claar (Linköping University) for electronic back end-design and implementation, Dr Tomoyuki Yokota and Hanbit Jin (University of Tokyo) for aid with sensor development and input, and Theofilos Kakantousis and Robin Anders-son (RISE SICS). The authors also thank Thor Balkhed (Linköping University) for filming, Jonas Askergren (NyTeknik) for inspiration and assistance with Fig. 1, Per Janson and Dr Robert Brooke (conceptualized.tech) for visualization input and movie editing, and Dr Jae Joon Kim for significant assistance in reviewing the manuscript.
  • Funding Agencies|Linkoping University
  • Body area networks (BANs), cloud computing, and machine learning are platforms that can potentially enable advanced healthcare outside the hospital. By applying distributed sensors and drug delivery devices on/in our body and connecting to such communication and decision-making technology, a system for remote diagnostics and therapy is achieved with additional autoregulation capabilities. Challenges with such autarchic on-body healthcare schemes relate to integrity and safety, and interfacing and transduction of electronic signals into biochemical signals, and vice versa. Here, we report a BAN, comprising flexible on-body organic bioelectronic sensors and actuators utilizing two parallel pathways for communication and decision-making. Data, recorded from strain sensors detecting body motion, are both securely transferred to the cloud for machine learning and improved decision-making, and sent through the body using a secure body-coupled communication protocol to auto-actuate delivery of neurotransmitters, all within seconds. We conclude that both highly stable and accurate sensing-from multiple sensors-are needed to enable robust decision making and limit the frequency of retraining. The holistic platform resembles the self-regulatory properties of the nervous system, i.e., the ability to sense, communicate, decide, and react accordingly, thus operating as a digital nervous system.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Pantzare, SandraRISE,Smart hårdvara,RISE Res Inst Sweden AB, Sweden(Swepub:ri)sandrapa@ri.se (author)
  • Arven, PatrikJ2 Holding AB, Elect Engn, S-59533 Mjolby, Sweden. (author)
  • Lassnig, RomanRISE,RISE Res Inst Sweden AB, Sweden (author)
  • Jinno, HiroakiRIKEN, Ctr Emergent Matter Sci, 2-1 Hirosawa, Wako, Saitama 3510198, Japan.;Univ Tokyo, Elect & Elect Engn & Informat Syst, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan.,RIKEN Center for Emergent Matter Science, Japan; University of Tokyo, Japan (author)
  • Gabrielsson, ErikLinköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten(Swepub:liu)eriga18 (author)
  • Kifle, Yonatan HabteslassieLinköpings universitet,Elektroniska Kretsar och System,Tekniska fakulteten(Swepub:liu)yonki66 (author)
  • Cherian, DennisLinköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten(Swepub:liu)dench72 (author)
  • Arbring Sjöström, TheresiaLinköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten(Swepub:liu)thear78 (author)
  • Berthou, GautierRISE,Res Inst Sweden AB, Sweden (author)
  • Dowling, JimRISE,KTH,Programvaruteknik och datorsystem, SCS,Datavetenskap,KTH Royal Institute of Technology, Sweden,Res Inst Sweden AB, Sweden; KTH Royal Inst Technol, Sweden(Swepub:ri)JimDo@ri.se (author)
  • Someya, TakaoRIKEN, Ctr Emergent Matter Sci, 2-1 Hirosawa, Wako, Saitama 3510198, Japan.;Univ Tokyo, Elect & Elect Engn & Informat Syst, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan.,RIKEN Center for Emergent Matter Science, Japan; University of Tokyo, Japan (author)
  • Wikner, JacobLinköpings universitet,Elektroniska Kretsar och System,Tekniska fakulteten(Swepub:liu)jacwi50 (author)
  • Gustafsson, GoranRISE,RISE Res Inst Sweden AB, Sweden (author)
  • Simon, DanielLinköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten(Swepub:liu)dansi08 (author)
  • Berggren, MagnusLinköpings universitet,Laboratoriet för organisk elektronik,Tekniska fakulteten(Swepub:liu)magbe98 (author)
  • RISESmart hårdvara (creator_code:org_t)

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  • In:Scientific Reports: NATURE RESEARCH11:12045-2322

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