Soft Material-Enabled, Flexible Hybrid Electronics for Medicine, Healthcare, and Human-Machine Interfaces
نویسندگان
چکیده
Flexible hybrid electronics (FHE), designed in wearable and implantable configurations, have enormous applications in advanced healthcare, rapid disease diagnostics, and persistent human-machine interfaces. Soft, contoured geometries and time-dynamic deformation of the targeted tissues require high flexibility and stretchability of the integrated bioelectronics. Recent progress in developing and engineering soft materials has provided a unique opportunity to design various types of mechanically compliant and deformable systems. Here, we summarize the required properties of soft materials and their characteristics for configuring sensing and substrate components in wearable and implantable devices and systems. Details of functionality and sensitivity of the recently developed FHE are discussed with the application areas in medicine, healthcare, and machine interactions. This review concludes with a discussion on limitations of current materials, key requirements for next generation materials, and new application areas.
منابع مشابه
Flexible Hybrid Electronics: Direct Interfacing of Soft and Hard Electronics for Wearable Health Monitoring
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim 1 wileyonlinelibrary.com signal-to-noise ratio.[8–10] In addition, these sensors are configurable and can be fabricated in different sizes and shapes that better suit the diverse human population. However, these flexible sensors require rigid silicon-based integrated circuits (ICs) for data processing and communications.[11–13] Although the trem...
متن کاملFlexible and Stretchable Electronics Paving the Way for Soft Robotics
Planar and rigid wafer-based electronics are intrinsically incompatible with curvilinear and deformable organisms. Recent development of organic and inorganic flexible and stretchable electronics enabled sensing, stimulation, and actuation of/for soft biological and artificial entities. This review summarizes the enabling technologies of soft sensors and actuators, as well as power sources base...
متن کاملAdd-on for High Throughput Screening in Material Discovery for Organic Electronics: “Tagging” Molecules to Address the Device Considerations
This work reflects the worth of intelligent modeling in controlling the nanostructure morphology in manufacturing organic bulk heterojunction (BHJ) solar cells. It suggests the idea of screening the pool of material design possibilities inspired by machine learning. To fulfill this goal, a set of experimental data on a BHJ solar cell with a donor structure of diketopyrrolopyrrole (DDP) and ...
متن کاملA hybrid algorithm optimization approach for machine loading problem in flexible manufacturing system
The production planning problem of flexible manufacturing system (FMS) concerns with decisions that have to be made before an FMS begins to produce parts according to a given production plan during an upcoming planning horizon. The main aspect of production planning deals with machine loading problem in which selection of a subset of jobs to be manufactured and assignment of their operations to...
متن کاملModeling and design of a diagnostic and screening algorithm based on hybrid feature selection-enabled linear support vector machine classification
Background: In the current study, a hybrid feature selection approach involving filter and wrapper methods is applied to some bioscience databases with various records, attributes and classes; hence, this strategy enjoys the advantages of both methods such as fast execution, generality, and accuracy. The purpose is diagnosing of the disease status and estimating of the patient survival. Method...
متن کامل