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      Mechanoacoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch

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          Abstract

          Skin-mounted soft electronics incorporating high-bandwidth triaxial accelerometers can provide broad classes of physiologically relevant information, such as mechanoacoustic signatures of underlying body processes (such as those captured by a stethoscope) and precision kinematics of core body motions. Here, we describe a wireless device designed to be conformally placed on the suprasternal notch for the continuous measurement of mechanoacoustic signals, from subtle vibrations of the skin at accelerations of ~10 −3 m·s −2 to large motions of the entire body at ~10 m·s −2, and at frequencies up to ~800 Hz. Because th measurements are a complex superposition of signals that arise from locomotion, body orientation, swallowing, respiration, cardiac activity, vocal-fold vibrations and other sources, we used frequency-domain analysis and machine learning to obtain, from human subjects during natural daily activities and exercise, real-time recordings of heart rate, respiration rate, energy intensity and other essential vital signs, as well as talking time and cadence, swallow counts and patterns, and other unconventional biomarkers. We also used the device in sleep laboratories, and validated the measurements via polysomnography.

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            Materials and noncoplanar mesh designs for integrated circuits with linear elastic responses to extreme mechanical deformations.

            Electronic systems that offer elastic mechanical responses to high-strain deformations are of growing interest because of their ability to enable new biomedical devices and other applications whose requirements are impossible to satisfy with conventional wafer-based technologies or even with those that offer simple bendability. This article introduces materials and mechanical design strategies for classes of electronic circuits that offer extremely high stretchability, enabling them to accommodate even demanding configurations such as corkscrew twists with tight pitch (e.g., 90 degrees in approximately 1 cm) and linear stretching to "rubber-band" levels of strain (e.g., up to approximately 140%). The use of single crystalline silicon nanomaterials for the semiconductor provides performance in stretchable complementary metal-oxide-semiconductor (CMOS) integrated circuits approaching that of conventional devices with comparable feature sizes formed on silicon wafers. Comprehensive theoretical studies of the mechanics reveal the way in which the structural designs enable these extreme mechanical properties without fracturing the intrinsically brittle active materials or even inducing significant changes in their electrical properties. The results, as demonstrated through electrical measurements of arrays of transistors, CMOS inverters, ring oscillators, and differential amplifiers, suggest a valuable route to high-performance stretchable electronics.
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              Is Open Access

              Unobtrusive Sensing and Wearable Devices for Health Informatics

              The aging population, prevalence of chronic diseases, and outbreaks of infectious diseases are some of the major challenges of our present-day society. To address these unmet healthcare needs, especially for the early prediction and treatment of major diseases, health informatics, which deals with the acquisition, transmission, processing, storage, retrieval, and use of health information, has emerged as an active area of interdisciplinary research. In particular, acquisition of health-related information by unobtrusive sensing and wearable technologies is considered as a cornerstone in health informatics. Sensors can be weaved or integrated into clothing, accessories, and the living environment, such that health information can be acquired seamlessly and pervasively in daily living. Sensors can even be designed as stick-on electronic tattoos or directly printed onto human skin to enable long-term health monitoring. This paper aims to provide an overview of four emerging unobtrusive and wearable technologies, which are essential to the realization of pervasive health information acquisition, including: 1) unobtrusive sensing methods, 2) smart textile technology, 3) flexible-stretchable-printable electronics, and 4) sensor fusion, and then to identify some future directions of research.
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                Author and article information

                Journal
                101696896
                45929
                Nat Biomed Eng
                Nat Biomed Eng
                Nature biomedical engineering
                2157-846X
                13 October 2019
                25 November 2019
                February 2020
                25 May 2020
                : 4
                : 2
                : 148-158
                Affiliations
                [1 ]Simpson Querry Institute, Northwestern University, Chicago, IL 60611, USA
                [2 ]Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
                [3 ]Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
                [4 ]Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
                [5 ]Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
                [6 ]Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
                [7 ]Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
                [8 ]Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
                [9 ]Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60208, USA
                [10 ]Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
                [11 ]Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
                [12 ]Department of Economics, Northwestern University, Evanston, IL 60208, USA
                [13 ]Department of Statistics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
                [14 ]Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
                [15 ]Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA
                [16 ]Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
                [17 ]State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
                [18 ]State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116023, P.R. China
                [19 ]Carle Neuroscience Institute, Carle Physician Group, Urbana, IL 61801, USA
                [20 ]Department of Neurological Surgery, Northwestern University, Evanston, IL 60208, USA
                Author notes
                [&]

                These authors contributed equally

                Author contributions

                K.L., Z.X. and J.A.R. conducted the structural designs of the system. Z.X., R.A., Y.D. and Y.H. performed mechanical and electromagnetic modeling, and theoretical studies. K.L., J.Y.L., J.H.L., J.B.P. and J.K. developed the embedded system and the user interface. K.L., X.N. and J.A.R. designed and performed the experimental studies of the technology. X.N., K.L. and J.A.R. designed and performed the human subject studies. X.N., K.L., M.I., R.L.E., D.J.P. and D.H.K developed the signal processing algorithms and performed the data analysis. K.L., H.A., D.J.P., H.U.C., O.O.O., S.G., E.C., M.H., J.B., H.J., C.L., S.B.K., S.M. and I.H. manufactured the devices. S.X., A.T. and C.D. provided clinical advice. X.N. and J.A.R. wrote the signal processing algorithm part of the manuscript. K.L., X.N., Z.X., Y.H. and J.A.R. contributed to the other sections.

                Article
                NIHMS1541184
                10.1038/s41551-019-0480-6
                7035153
                31768002
                221b70a5-7897-4c0d-a9aa-a77fd2eea9b8

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