A digital nervous system aiming toward personalized IoT healthcare

Abstract 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,...

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Autores principales:	Astrid Armgarth, Sandra Pantzare, Patrik Arven, Roman Lassnig, Hiroaki Jinno, Erik O. Gabrielsson, Yonatan Kifle, Dennis Cherian, Theresia Arbring Sjöström, Gautier Berthou, Jim Dowling, Takao Someya, J. Jacob Wikner, Göran Gustafsson, Daniel T. Simon, Magnus Berggren
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/136da0e676394b748d1bfcd603c05b99
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spelling	oai:doaj.org-article:136da0e676394b748d1bfcd603c05b992021-12-02T14:17:31ZA digital nervous system aiming toward personalized IoT healthcare10.1038/s41598-021-87177-z2045-2322https://doaj.org/article/136da0e676394b748d1bfcd603c05b992021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87177-zhttps://doaj.org/toc/2045-2322Abstract 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.Astrid ArmgarthSandra PantzarePatrik ArvenRoman LassnigHiroaki JinnoErik O. GabrielssonYonatan KifleDennis CherianTheresia Arbring SjöströmGautier BerthouJim DowlingTakao SomeyaJ. Jacob WiknerGöran GustafssonDaniel T. SimonMagnus BerggrenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Astrid Armgarth Sandra Pantzare Patrik Arven Roman Lassnig Hiroaki Jinno Erik O. Gabrielsson Yonatan Kifle Dennis Cherian Theresia Arbring Sjöström Gautier Berthou Jim Dowling Takao Someya J. Jacob Wikner Göran Gustafsson Daniel T. Simon Magnus Berggren A digital nervous system aiming toward personalized IoT healthcare
description	Abstract 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.
format	article
author	Astrid Armgarth Sandra Pantzare Patrik Arven Roman Lassnig Hiroaki Jinno Erik O. Gabrielsson Yonatan Kifle Dennis Cherian Theresia Arbring Sjöström Gautier Berthou Jim Dowling Takao Someya J. Jacob Wikner Göran Gustafsson Daniel T. Simon Magnus Berggren
author_facet	Astrid Armgarth Sandra Pantzare Patrik Arven Roman Lassnig Hiroaki Jinno Erik O. Gabrielsson Yonatan Kifle Dennis Cherian Theresia Arbring Sjöström Gautier Berthou Jim Dowling Takao Someya J. Jacob Wikner Göran Gustafsson Daniel T. Simon Magnus Berggren
author_sort	Astrid Armgarth
title	A digital nervous system aiming toward personalized IoT healthcare
title_short	A digital nervous system aiming toward personalized IoT healthcare
title_full	A digital nervous system aiming toward personalized IoT healthcare
title_fullStr	A digital nervous system aiming toward personalized IoT healthcare
title_full_unstemmed	A digital nervous system aiming toward personalized IoT healthcare
title_sort	digital nervous system aiming toward personalized iot healthcare
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/136da0e676394b748d1bfcd603c05b99
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A digital nervous system aiming toward personalized IoT healthcare

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