This paper presents a flexible multi-functional physiological sensing system that provides multiple noise-immune readout architectures and hybrid-sensing capability with an analog pre-processing scheme. The proposed multi-functional system is designed to support five physiological detection methodologies of piezo-resistive, pyro-resistive, electro-metric, opto-metric and their hybrid, utilizing an in-house multi-functional e-skin device, in-house flexible electrodes and a LED-photodiode pair. For their functional verification, eight representative physiological detection capabilities were demonstrated using wearable device prototypes. Especially, the hybrid detection method includes an innovative continuous measurement of blood pressure (BP) while most previous wearable devices are not ready for it. Moreover, for effective implementation in the form of the wearable device, post-processing burden of the hybrid method was much reduced by integrating a proposed analog pre-processing scheme, where only simple counting process and calibration remain to estimate the BP. This multi-functional sensor readout circuits and their hybrid-sensing interface are fully integrated into a single readout integrated circuit (ROIC), which is designed to implement three readout paths: two electrometric readout paths and one impedometric readout path. For noise-immune detection of the e-skin sensor, a pseudo-differential front-end with a ripple reduction loop is proposed in the impedometric readout path, and also state-of-the-art body-oriented noise reduction techniques are adopted for the electrometric readout path. The ROIC is fabricated in a CMOS process and in-house e-skin devices and flexible electrodes are also fabricated.
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http://dx.doi.org/10.1109/TBCAS.2019.2946875 | DOI Listing |
J Immunol Methods
January 2025
ARUP Laboratories, University of Utah School of Medicine, Salt Lake City, UT, USA; Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA. Electronic address:
Despite great advancements in the discovery of genetic variants underlying inborn errors of immunity, functional assessment of the immunological profile of patients in routine clinical practice remains challenging. The lymphocyte proliferation assay using H-thymidine incorporation has been the gold standard for decades for functional evaluation of T cells in the clinical laboratory, however, recently developed flow cytometry methods allowing for single cell analysis provide non-radioactive alternatives. Understanding the technical and analytical challenges of test development, validation and maintenance is essential for correct interpretation and test utilization, to assure appropriate and timely patient care.
View Article and Find Full Text PDFBiosensors (Basel)
November 2024
Nanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain.
There are many examples in nature in which the ability to detect is combined with decision-making, such as the basic survival instinct of plants and animals to search for food. We can technically translate this innate function via the use of robotics with integrated sensors and artificial intelligence. However, the integration of sensing capabilities into robotics has traditionally been neglected due to the significant associated technical challenges.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Theoretical Quantum Physics Laboratory, Cluster for Pioneering Research, RIKEN, Wako shi, Saitama 351-0198, Japan.
It has been a long-standing goal to improve dispersive qubit readout with squeezed light. However, injected external squeezing (IES) cannot enable a practically interesting increase in the signal-to-noise ratio (SNR), and simultaneously, the increase of the SNR due to the use of intracavity squeezing (ICS) is even negligible. Here, we counterintuitively demonstrate that using IES and ICS together can lead to an exponential improvement of the SNR for any measurement time, corresponding to a measurement error reduced typically by many orders of magnitude.
View Article and Find Full Text PDFPLoS Comput Biol
December 2024
Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Transcranial magnetic stimulation (TMS) is a non-invasive, FDA-cleared treatment for neuropsychiatric disorders with broad potential for new applications, but the neural circuits that are engaged during TMS are still poorly understood. Recordings of neural activity from the corticospinal tract provide a direct readout of the response of motor cortex to TMS, and therefore a new opportunity to model neural circuit dynamics. The study goal was to use epidural recordings from the cervical spine of human subjects to develop a computational model of a motor cortical macrocolumn through which the mechanisms underlying the response to TMS, including direct and indirect waves, could be investigated.
View Article and Find Full Text PDFJ Hepatol
November 2024
Stravitz-Sanyal Institute for Liver Disease and Metabolic Health, Virginia Commonwealth University School Of Medicine, Richmond, VA, USA.
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