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公开(公告)号:US12217863B2
公开(公告)日:2025-02-04
申请号:US18387585
申请日:2023-11-07
Applicant: Autonomix Medical, Inc.
Inventor: Landy Toth , Siu Bor Lau
IPC: G16H40/63 , A61B5/00 , A61B5/01 , A61B5/145 , A61B5/308 , A61B5/33 , A61M25/00 , G06F3/00 , G06F13/14 , G06F13/37 , G06F13/38 , H04L9/40 , H04L12/54 , H04Q11/04 , A61B5/026 , A61B90/00
Abstract: A medical device comprises a control system, processing modules, and a wire bundle connecting the control system to the processing modules, the wire bundle comprising control lines and data lines. Each processing module is coupled to a respective set of sensors arranged to interface with a biological tissue site, the sensors being configured to capture analog physiological signals generated from the biological tissue site. The control system is configured to generate a control signal on the control lines to initiate a data collection cycle by the processing modules. In response to the control signal, each processing module is configured to perform a respective data collection process which comprises (i) capturing and processing an analog physiological signal on each enabled sensor to generate a data sample for each analog physiological signal captured on each enabled sensor, and (ii) outputting data samples to the control system on the data lines.
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2.
公开(公告)号:US20250009307A1
公开(公告)日:2025-01-09
申请号:US18765920
申请日:2024-07-08
Applicant: Cornell University
Inventor: Hayford Agbanu Perry Fordson , Adam K. Anderson , Eve DeRosa
Abstract: A method in an illustrative embodiment comprises obtaining an input data signal for a given individual, generating a noisy version of the input data signal, processing the noisy version of the input data signal in a denoising encoder-decoder neural network to generate a classification for the input data signal, and executing at least one automated action based at least in part on the generated classification. The automated action may comprise, for example, a remedial action, or another type of action. In some embodiments, the input data signal comprises at least one ECG data signal from at least one ECG sensor and/or at least one PPG data signal from at least one PPG sensor, although additional or alternative data signals can be used. The classification for the input data signal in some embodiments comprises, for example, a pain recognition classification providing a pain biomarker for the input data signal.
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公开(公告)号:US20240412834A1
公开(公告)日:2024-12-12
申请号:US18738579
申请日:2024-06-10
Applicant: READMYRHYTHM INC.
Inventor: Alissa P. Manfredi
Abstract: A method for heart monitoring includes receiving data corresponding to an electrocardiogram taken by a wearable device and transmitting data corresponding to an interpretation of the electrocardiogram by an interpretation provider. A referral to a medical service provider may be sent in response to the interpretation of the electrocardiogram indicating an irregularity.
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公开(公告)号:US20240285240A1
公开(公告)日:2024-08-29
申请号:US18562735
申请日:2022-05-24
Applicant: Medtronic, Inc.
Inventor: Ya-Jian Cheng
CPC classification number: A61B5/7267 , A61B5/0006 , A61B5/29 , A61B5/308 , A61B5/335 , A61B5/339 , A61B5/361 , A61B5/363 , A61B5/686 , A61B5/7275 , A61B2560/0468
Abstract: This disclosure is directed to systems and techniques for detecting change in patient health based on a modular machine learning architecture ensembling different cardiac events. In one example, a medical system is configured to: detect a cardiac event type for the patient based on a classification of the patient physiological data in accordance with a modular machine learning architecture, wherein the modular machine learning architecture comprises, for each of a plurality of cardiac event types, an ensemble that comprises a current component model for classifying the cardiac EGM data as evidence of that respective one of the plurality of cardiac event types; and generate for display output data indicative of a positive detection of the cardiac event type.
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公开(公告)号:US20240277280A1
公开(公告)日:2024-08-22
申请号:US18583725
申请日:2024-02-21
Applicant: Masimo Corporation
Inventor: Ammar Al-Ali , Richard Priddell , Erik Karl Kinast , Stephen Scruggs , Nicolsson Fernandes , Maxwell Gilmore
IPC: A61B5/332 , A61B5/00 , A61B5/0205 , A61B5/30 , A61B5/308
CPC classification number: A61B5/332 , A61B5/02055 , A61B5/303 , A61B5/308 , A61B5/6832 , A61B2560/0214 , A61B2562/222 , A61B2562/227
Abstract: A wearable device configured to measure physiological parameters of a subject is described. The wearable device can include a dock having a plurality of prongs, a dock circuit layer having a plurality of conductive strips positioned along the plurality of prongs, and a plurality of electrodes in electrical communication with the dock circuit layer. The wearable device can also include a hub configured to be removably secured to the dock, the hub having a housing with a plurality of openings, and a hub circuit layer arranged within the interior of the housing. When the hub and dock are secured to one another, the plurality of prongs of the frame extend towards the plurality of openings of the housing of the hub and cause the plurality of conductive strips to contact portions of the hub circuit layer to facilitate electrical communication between the plurality of electrodes and the hub circuit layer.
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公开(公告)号:US20240237908A1
公开(公告)日:2024-07-18
申请号:US18321883
申请日:2023-05-23
Applicant: Quanta Computer Inc.
Inventor: Jia-Li SUNG , Peng-Zhe TSAI , Yung-Ming CHUNG
IPC: A61B5/0245 , A61B5/308 , A61B5/352
CPC classification number: A61B5/0245 , A61B5/308 , A61B5/352
Abstract: An embodiment of the invention provides a heart rate detection device. The heart rate detection device may include an electrocardiography (ECG) signal extraction circuit, a detection circuit, a calculation circuit and a filter. The ECG signal extraction circuit obtains an ECG signal. The detection circuit detects a plurality of R-waves in the ECG signal. The calculation circuit uses the first of the R-waves as the initial point from which to calculate the standard deviation of the R-waves in each moving window. The calculation circuit determines whether the standard deviation corresponding to each moving window is larger than the first threshold. The calculation circuit determines whether the number of moving windows whose corresponding standard deviation exceeds the first threshold is larger than a second threshold to generate a determination result. Furthermore, the calculation circuit determines whether to use the filter to filter the ECG signal based on the determination result.
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公开(公告)号:US12004860B2
公开(公告)日:2024-06-11
申请号:US17305391
申请日:2021-07-07
Applicant: SIEMENS HEALTHINEERS AG
Inventor: Paul Klein , Ingo Schmuecking , Costin Florian Ciusdel , Lucian Mihai Itu , Tiziano Passerini , Puneet Sharma
CPC classification number: A61B5/308 , A61B5/026 , A61B5/7267
Abstract: A method includes processing at least one input dataset (using a multi-level processing algorithm, one or more of the at least one input dataset comprising imaging data of an echocardiography of a cardiovascular system of a patient. The multi-level processing algorithm comprises a multi-task level and a consolidation-task level. An input of the consolidation-task level is coupled to an output of the multi-task level. The multi-task level is configured to determine multiple diagnostic metrics of the cardiovascular system based on the at least one input dataset. The consolidation-task level is configured to determine a fitness of the cardiovascular system of the patient.
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8.
公开(公告)号:US11998343B2
公开(公告)日:2024-06-04
申请号:US17234032
申请日:2021-04-19
Applicant: BIOSENSE WEBSTER (ISRAEL) LTD.
Inventor: Tal Haim Bar-on , Meir Bar-Tal , Gal Hayam , Einat Shapira
CPC classification number: A61B5/363 , A61B5/287 , A61B5/308 , A61B5/333 , A61B5/343 , A61B5/743 , A61B2562/04
Abstract: A method for evaluation of electrical propagation in the heart includes receiving a pacing signal applied to a heart of a patient, the pacing signal including a sequence of normal and shorter, abnormal, pacing stimuli. A responsive cardiac signal is received, that is sensed by electrodes at a location in the heart and on the body surface of the patient. A model response is found and annotated from evoked potentials caused by the normal pacing stimuli. A correlation is made between the model response along the different signal sections to find and calculate a normal and decremental time delays between the pacing stimuli and respectively resulting evoked potentials at a tissue location. A time difference is calculated, between the normal time delay and the decremental time delay. An EP map of at least a portion of the heart is presented to a user, with a graphical indication of the time difference presented at the tissue location.
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公开(公告)号:US20240148303A1
公开(公告)日:2024-05-09
申请号:US18549227
申请日:2022-02-17
Applicant: Medtronic, Inc.
Inventor: Kevin T. Ousdigian , Paul G. Krause , Ryan D. Wyszynski , Megan Connolly , Grant A. Neitzell , Christopher D. Koch
CPC classification number: A61B5/29 , A61B5/308 , A61B5/346 , A61B5/7267 , A61B5/7282 , A61B5/7405 , A61B5/742 , G16H20/10 , G16H20/30 , G16H50/20 , A61B2560/0468
Abstract: Example devices, systems, and techniques are disclosed for providing guidance of a treatment of a patient. An example device includes processing circuitry and memory comprising instructions that, when executed by the processing circuitry, cause the processing circuitry to determine that a device detected an acute health event of a patient or delivery of cardiopulmonary resuscitation to the patient, and analyze sensed patient data in response to the determination. The instructions cause the processing circuitry to provide information for guidance of a treatment of the patient based on the analysis.
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公开(公告)号:US20240108907A1
公开(公告)日:2024-04-04
申请号:US18539112
申请日:2023-12-13
Applicant: Physio-Control, Inc.
Inventor: JAEHO KIM , JOSEPH L. SULLIVAN , ROBERT P. MARX
CPC classification number: A61N1/3904 , A61B5/0205 , A61B5/282 , A61B5/304 , A61B5/308 , A61B5/7221 , A61N1/046 , A61N1/3937 , A61N1/3987
Abstract: A wearable cardioverter defibrillator system includes a support structure that a patient can wear. The system also includes electrodes that contact the patient, and define two or more channels from which ECG signals are sensed. A processor may evaluate the channels by analyzing their respective ECG signals, to determine which contains less noise than the other(s). The analysis can be by extracting statistics from the ECG signals, optionally after first processing them, and then by comparing these statistics. These statistics may include tall peak counts, amplitudes of peaks compared to historical peak amplitudes, signal baseline shift, dwell time near a baseline, narrow peak counts, zero crossings counts, determined heart rates, and so on. Once the less noisy signal is identified, its channel can be followed preferentially or to the exclusion of other channels, for continuing monitoring and/or determining whether to shock the patient.
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