GIANT MAGNETOELASTICITY ENABLED SELF-POWERED PRESSURE SENSOR FOR BIOMONITORING

    公开(公告)号:US20250143596A1

    公开(公告)日:2025-05-08

    申请号:US18694371

    申请日:2022-09-23

    Inventor: Jun CHEN

    Abstract: The present embodiments relate generally to a soft system for producing a giant magnetoelastic effect. In some embodiments, the soft system is composed of platinum-catalyzed silicone polymer matrix and neodymium-iron-boron nanomagnets. The soft system shows up to four times more enhancement of the magnetomechanical coupling factor (T/Pa) than traditional rigid counterparts owing to a distinct physical mechanism. In embodiments, the giant magnetoelastic effect is coupled with magnetic induction to implement a soft magnetoelastic generator (MEG) as an approach to biomechanical energy conversion, a technology that was heretofore conventionally challenged by low current, high internal impedance, and low water/humidity resistance for decent operation stability. This new method of biomechanical-to-electrical conversion is intrinsically waterproof since the magnetic fields are able to penetrate water with negligible intensity loss. Thus, it was demonstrated to work stably on wet skin or in body fluids without any encapsulation, opening up alternative avenues for practical human-body centered energy, sensing, and therapeutic applications.

    Endovascular perfusion augmentation for critical care

    公开(公告)号:US12290659B2

    公开(公告)日:2025-05-06

    申请号:US18078857

    申请日:2022-12-09

    Abstract: Systems and methods for Endovascular Perfusion Augmentation for Critical Care (EPACC) are provided. The system may include a catheter having an expandable aortic blood flow regulation device disposed on the distal end of the catheter for placement within an aorta of a patient. The system may also include a catheter controller unit that causes the expandable aortic blood flow regulation device to expand and contract to restrict blood flow through the aorta. The system may also include one or more sensors for measuring physiological information indicative of blood flow through the aorta, and a non-transitory computer readable media having instructions stored thereon, wherein the instructions, when executed by a processor coupled to the one or more sensors, cause the processor to compare the measured physiological information with a target physiological range associated with blood flow through the aorta such that the catheter controller unit automatically adjusts expansion and contraction of the expandable aortic blood flow regulation device to adjust an amount of blood flow through the aorta if the measured physiological information falls outside the target physiological range.

    SYSTEMS AND METHODS FOR AUTOMATIC DATA ANNOTATION AND SELF-LEARNING FOR ADAPTIVE MACHINE LEARNING

    公开(公告)号:US20250139446A1

    公开(公告)日:2025-05-01

    申请号:US18925783

    申请日:2024-10-24

    Abstract: A system for automatically self-labeling a digital dataset includes a first sensor for generating a first data stream, a second sensor for collecting information to generate a second data stream, and a causal model manager (CMM). The CMM is configured to determine a first causal event from a first data segment of the first data stream, and a causal relation between the first causal event and a second data segment selected from the second data stream. The system further includes (a) an interactive time model for determining an interaction time between the first and second data segments, and (b) a self-labeling subsystem configured to derive a label from the second data segment, associate the first data segment with the derived label, form a self-labeled data pair from the associated first data segment and the derived label, and automatically annotate the self-labeled data pair with the interaction time.

    DIGITALLY ASSISTED SENSOR RECORDING CIRCUIT WITH CONTINUOUS OFFSET CANCELLATION

    公开(公告)号:US20250138633A1

    公开(公告)日:2025-05-01

    申请号:US18694280

    申请日:2022-09-23

    Abstract: A method for obtaining neural signals from a neural signal sensor includes extracting sensor offset from a neural input signal. Sensor offset is removed from N-channels that share a single amplifier. The neural input signal is acquired from the analog domain by neural electrodes with varying DC-offset and the method includes multiplexing the N-channels via a time divisional multiple access procedure into a single neural amplifier An integrated digitally assisted neural recording system includes an analog multiplexer structured to receive N-channels and to multiplex the N-Channels into a single neural amplifier. A feedback loop is configured to cancel electrode offset voltage in the digital domain by generating electrode offset voltage samples and adding delay to align each electrode offset voltage sample to be subtracted at the neural amplifier in the analog domain.

    DIFFRACTIVE ALL-OPTICAL COMPUTING FOR QUANTITATIVE PHASE IMAGING

    公开(公告)号:US20250138296A1

    公开(公告)日:2025-05-01

    申请号:US18721509

    申请日:2023-01-13

    Abstract: Quantitative phase imaging (QPI) is a label-free computational imaging technique that provides optical path length information of objects. Here, a diffractive QPI network architecture is disclosed that can synthesize the quantitative phase image of an object by converting the input phase information of a scene or object(s) into intensity variations at the output plane. A diffractive QPI network is a specialized all-optical device designed to perform a quantitative phase-to-intensity transformation through passive diffractive/reflective surfaces that are spatially engineered using deep learning and image data. Forming a compact, all-optical network that axially extends only ˜200-300λ (λ=illumination wavelength), this framework replaces traditional QPI systems and related digital computational burdens with a set of passive substrate layers. All-optical diffractive QPI networks can potentially enable power-efficient, high frame-rate and compact phase imaging systems that might be useful for various applications, including, e.g., on-chip microscopy and sensing.

    ELECTROCHEMICAL BIOSENSOR ARRAY DEVICES, SYSTEMS, AND METHODS FOR POINT-OF-CARE DETECTION

    公开(公告)号:US20250137036A1

    公开(公告)日:2025-05-01

    申请号:US18936581

    申请日:2024-11-04

    Abstract: Disclosed are biosensor devices, systems, and methods for point-of-care applications. In some aspects, a biosensor system includes a biosensor chip device to measure impedance at an electrode-electrolyte interface, which includes an electrochemical sensor comprising a first electrode including a functionalization layer exposing a molecular binding site to bind a target molecule for detection and a second electrode that does not include the binding site, and an electronic circuit unit corresponding to each electrode of the electrochemical sensor including a transimpedance amplifier, a phase detector to determine a relative phase shift in the detected electrical signal caused by an impedance change from a binding event of the target molecule at the molecular binding site, and a time-to-digital converter to quantize and average phase data points in time to remove uncorrelated noise from the detected electrical signal; and a signal generator to produce an electrical excitation signal applied across the electrode-electrolyte interface.

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