499 results about "Non invasive" patented technology

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

Methods and apparatus for changing a brain state of a person from an initial brain state to a target brain state are described. The method includes receiving information characterizing the initial brain state, the information including a structural composition and a functional architecture of the brain, estimating based, at least in part, on the received information, a potential for the brain to change from the initial brain state to the target brain state, determining based, at least in part, on the received information and the estimated potential for the brain to change from the initial brain state to the target brain state, a non-invasive brain stimulation protocol, and controlling at least one non-invasive brain stimulation device to stimulate the brain according to the non-invasive brain stimulation protocol. The method also includes using brain information to inform the design of computational general artificial intelligence agents.

A method for predicting a cardiac index (CI) for a patient includes receiving a set of a measurements from the patient that characterizes an anatomical condition, a physical condition, a physiological condition, or a combination thereof. The method also includes receiving a non-invasive physiological measurement from the patient. The method also includes performing feature extraction on the non-invasive physiological measurement to produce one or more extracted features. The method also includes combining the set of measurements and the extracted features to produce a dataframe. The method also includes predicting the CI for the patient. The CI is predicted using a prediction model based upon the dataframe.

The invention relates to the technical field of nervous system dysfunction, in particular to a nerve regulation and control system for degenerative disease treatment based on multi-modal physiological feedback, which comprises a central processing unit, an optical radiation applicator, a mechanical vibration applicator, an integrated biological signal sensing array and a man-machine interaction module, cooperative stimulation is applied by using a multispectral light source and a broadband vibrator, and multi-dimensional physiological signals such as heart rate variability, myoelectricity, galvanic skin and the like are monitored in real time through a sensor array. A multi-parameter adaptive control algorithm built in the central processing unit can dynamically and intelligently adjust stimulation parameters based on the feedback signals to form an accurate personalized treatment closed loop. Meanwhile, the safety monitoring module based on the biological thermal model ensures the safety boundary of the treatment process. According to the invention, intelligent, self-adaptive and non-invasive treatment of nerve dysfunction is realized.

A non-contact, non-invasive health monitoring device and method utilizing advanced artificial intelligence (AI) and machine learning techniques. This system captures real-time image data of a user's face using a high-resolution camera and processes the data to extract physiological signals, including Photoplethysmography (PPG, iPPG, and rPPG) and Ballistocardiography (BCG and iBCG). By leveraging facial landmark detection and deep learning models such as Convolutional Neural Networks (CNNs) and Transformers, the device predicts vital signs such as heart rate, respiratory rate, blood pressure, and oxygen saturation, alongside wellness metrics like stress levels and metabolic health. The device employs robust feature construction and signal processing modules to ensure accurate metrics under varying conditions, with error margins below 5%. Outputs are displayed in real time and integrated with external systems using standardized healthcare protocols. Applications include telehealth, fitness monitoring, public health screening, and automotive safety systems.

A method for non-invasively identifying a location of a mass or tumor including: providing a patient with a possible mass or tumor; providing a detector including one or more resonant sensors, each sensor including at least one loop resonator, at least one cavity resonator, or at least one waveguide resonator; detecting resonant frequencies at different locations on the patient's skin near locations of the mass or possible tumor; and locating the mass or tumor by noting a location of an atypical resonant frequency.

The invention discloses an ALS prognosis evaluation system based on UBE2J2 gene methylation and expression level, and relates to the technical field of biomedicine and bioinformatics. Comprising a data acquisition module, a methylation detection module, an expression quantity determination module, a data preprocessing module, a preliminary survival analysis module, a multivariable Cox proportional risk model construction module, an individualized risk index calculation and grouping module and a visualization and clinical application module. By combining UBE2J2 gene methylation and expression quantity analysis, peripheral blood non-invasive detection, standardized experiment and computational analysis process and visual presentation, the method is technically and remarkably superior to the prior art, high accuracy, operability, repeatability and expandability are realized, and the method is suitable for large-scale popularization and application. And the technical defects of single molecular marker, complicated operation, inaccurate prediction and the like in ALS prognosis evaluation in the prior art are overcome.

At least one light source may be configured to illuminate a region of interest of a subject, and at least one light sensor may be configured to non-invasively measure reflected light within the region of interest. At least one processor may perform processing comprising receiving at least one measured value of light from the at least one light sensor. From the measured value of light, the processor may determine at least one thickness or depth of at least one tissue layer within the region of interest of the subject and / or perform further processing to determine at least one physical characteristic of the region of interest of the subject.

A apparatus for non-invasive ultrasonic treatment of a target region within a body part of a user is proposed. The apparatus includes an attachment means for attaching the apparatus to the body part. Further, the apparatus includes at least one ultrasonic transducer configured to emit ultrasonic waves for non-invasive ultrasonic treatment of the target region. For compensating for distortions of the emitted ultrasonic waves by anatomical structures of the body part and for focusing the ultrasonic waves into the target region, the apparatus comprises a modification means individually adapted to the anatomical structures of the body part of the user or alternatively a plurality of ultrasonic transducers and a control circuit. The modification means is configured to modify acoustic properties of the emitted ultrasonic waves in a predetermined manner. The control circuit is configured to control the emission of the ultrasonic waves by the plurality of ultrasonic transducers based on data indicating the target region and properties of the anatomical structures of the body part of the user. The apparatus is configured for operation in the magnetic field of a magnetic resonance imaging system.

Provided herein are non-invasive and non-destructive methods for classifying the type of external corrosion defect and the severity thereof in the cathodic protection system on a buried pipeline. Mathematical tools and algorithms are utilized to classify the type and the severity of the corrosion defect.

The present invention relates to a non-invasive test for the detection of deep endometriosis. Particularly, although not exclusively, aspects of the present invention relate to one or more glycolysis-associated biomarkers (e.g., phosphoglycerate mutase 1 (PGAM1), Enolase-1 (ENO1), phosphofructokinase-1 (PFKP) and / or Hexokinase) and / or cytokines associated with aerobic glycolysis (e.g., IL-6 and / or TGF-β) which can be used to determine the likelihood of a subject having deep endometriosis based on a sample obtained from the subject.

A Peripheral Nerve Stimulation (PNS) system and method are disclosed. The system includes a headset with ear hooks and electrodes for placement on the mastoid processes. A stimulation device connected to the headset via lead wires delivers a pulsed electrical current to the electrodes. The device communicates with a computing device equipped with a mobile application that controls the stimulation characteristics. The mobile application allows users to adjust settings, monitor progress, and access treatment sessions. The system also includes snap ports for electrode attachment, self-adhesive hydrogel electrodes, and current control mechanisms using a digital potentiometer and waveform generator. The method includes pre- and post-session anxiety rating, personalized treatment based on user inputs, and tracking of physiological biomarkers. The application supports multiple operating systems, secure cloud data storage, and enables data sharing with healthcare providers. The invention provides a comprehensive, customizable, safe solution for managing anxiety and insomnia.

A method for non-invasive hemodynamic monitoring of patients. The method comprises using ultrasound to obtain a continuous blood velocity signal and continuous arterial diameter signal. The method further comprises extracting waveform features from these two signals which can be used to estimate hemodynamic parameters. A transfer function is used to convert values of a pre-defined set of waveform features into values of one or more hemodynamic parameters. To enhance accuracy, ultrasound data is acquired over a time window and an ensemble average blood velocity waveform is computed from a series of waveforms detectable in the blood velocity-time signal over said time window.

Provided are multi-wavelength phototherapy devices, systems and methods for the treatment of a disorder or disease, including multi-wavelength low level light therapy (“PBM”), in particular to multi-wavelength PBM and other phototherapy systems and methods for improving functionality in and / or restoring functionality to a cell and / or tissue through the coordinated and targeted delivery to the cell or tissue of two or more doses of light having distinct wavelengths, wherein the two or more doses of light, when delivered in a coordinated fashion, can stimulate the activity of two or more light sensitive factors that, when activated, provide and / or enhance a desired target cell functionality. Ophthalmic phototherapy devices, systems, and treatment methods to expose an eye to selected multi-wavelengths of light to promote the healing of damaged or diseased eye tissue. The devices include a housing having an interior; an eyepiece disposed on the housing and configured and arranged for placement of an eye of the patient adjacent the eyepiece; a first light source producing a first light beam having a first therapeutic wavelength and disposed within the housing; a second light source producing a second light beam having a second therapeutic wavelength and disposed within the housing, where the second therapeutic wavelength differs from the first therapeutic wavelength by at least 25 nm.

A method for adaptively scheduling non-invasive blood pressure measurement time intervals based on using a risk model to compute a risk of a patient suffering a pre-defined one or more adverse clinical events, for example within a pre-defined time window, and also based on a clinician risk assessment for a patient.

A method for treating urinary stress incontinence. The method includes non-invasively cooling target tissue during a first cooling step, a non-cooling step, and non-invasively cooling the target tissue in a second cooling step. The first cooling step, the non-cooling step, and the second cooling step are performed at predetermined temperatures for a predetermined period of time.

This invention provides a methylation biomarker for detecting gastric cancer and its application, relating to the field of molecular biomedical technology. This invention provides a combination of methylation biomarkers for early, non-invasive identification of gastric cancer and their application. Based on the measured expression levels of methylation biomarkers in blood samples from patients with and without gastric cancer, biomarkers for identifying gastric cancer are provided. The biomarker combination of this invention can not only assist clinicians in predicting and diagnosing the risk of patients developing gastric cancer, but also serve as a tool for screening high-risk populations for gastric cancer, helping patients to detect and treat the disease early. Moreover, compared to current gastric cancer early screening products and existing technologies, the detection process of this invention is non-invasive, has higher sensitivity and specificity, the detection method is mature and rapid, the cost is low, the safety is high, and it is convenient for large-scale clinical application.

The invention discloses a computer device for noninvasive recognition of Parkinson's disease based on intestinal flora and a computer readable storage medium. The invention provides a computer device, which comprises a memory, a processor and a computer program stored on the memory, and the processor executes the computer program to realize the following steps: S1, receiving data: receiving sample data, the sample data being relative abundance of each genus in 11 genus in an in-vitro fecal sample of a subject; s2, inputting data: inputting the sample data into a Parkinson's disease prediction model; s3, outputting a result: outputting a probability value of the illness condition of the Parkinson's disease of the subject through the Parkinson's disease prediction model; and then the Parkinson's disease condition of the subject is obtained based on the probability value. The method shows obvious superiority in the aspects of non-invasive prediction of PD, personalized medical support, cost effectiveness and the like, and has important clinical application value and research prospect.

The present invention relates to means and methods to non-invasive ocular drug delivery technologies, particularly aimed at delivering pharmaceutically active ingredients (APIs) to the posterior segment of the eye.

A system comprises a personal device such as one used by law enforcement, and a housing containing a portable radar system in a chip with both a ranging resolution and lateral resolution sufficient to detect an object concealed on a person (e.g., one that operates in the THz range), where the housing is configured to be mounted in contact with the personal device such that when mounted, the combined handheld device and housing have a form factor that allows it to retain its characteristic as a personal device, and where the portable radar system is configured to, when in operation, emit a radar beam and to receive a reflection of the emitted radar beam.

The present disclosure relates to the use of therapeutic ultrasound to non-invasively stimulate multiple peripheral nerve pathways that modulate energy homeostasis. An embodiment of the disclosed neuromodulation techniques includes neuromodulation techniques to treat a patient with a metabolic disorder. Certain embodiments of the disclosure are discussed in the context of blood glucose regulation.

Device (1) and system for macrofiltration are disclosed. The macrofiltration comprises mannosylerythritol lipids (MELs) recovery, the MELs being in the form of particles. System comprising the device (1) is also disclosed. The system comprises a first pathway (6) in fluid communication, wherein this first pathway comprises sequentially a first valve (3), a first pump (4), a bioreactor (2) and a second valve (10), and where this first pathway is between the at least one outlet and inlet of the device (1). Process for enhancing mannosylerythritol lipids (MELs) production is also disclosed.

The present disclosure relates to a closed-loop brain-computer interface tibial neuromodulation system, including a scalp electrophysiological monitoring terminal, a tibial neuromodulation terminal, and a programming terminal. The scalp electrophysiological monitoring terminal is configured to monitor a scalp electrophysiological signal in real-time via a non-invasive manner, and to identify an abnormal signal indicative of bladder overactivity upon an occurrence of a urinary urgency symptom of a patient. The tibial neuromodulation terminal is configured to, in response to detecting the abnormal signal, initiate a tibial nerve electrical stimulation to achieve an on-demand neuromodulation for the patient during a symptom onset and persistence period of the bladder overactivity. The programming terminal is configured to obtain a treatment parameter related to the on-demand neuromodulation to initiate a real-time tibial nerve electrical stimulation for the patient.

A histotripsy therapy system configured for the treatment of tissue is provided, which may include any number of features. Provided herein are systems and methods that provide efficacious non-invasive and minimally invasive therapeutic, diagnostic and research procedures. In particular, provided herein are optimized systems and methods that provide targeted, efficacious histotripsy in a variety of different regions and under a variety of different conditions without causing undesired tissue damage to intervening / non-target tissues or structures.

Wearable devices, including topical patches or sleeves applied to the skin, are used to stimulate and recognize changes in blood flow and clotting. A noninvasive transcutaneous electrical muscle stimulator (EMS) is embedded in the patch or sleeve and delivers continuous stimulation to perivascular tissue to promote blood flow. The stimulation system includes a series of electrodes positioned on the skin via the patch or sleeve and an external programmable generator with wireless connectivity during stimulation. Biosensors in the patch or sleeve and other biosensors applied to the body periodically check for abnormal biomarker patterns. These patterns may be used by artificial intelligence (AI) / machine learning (ML) systems as early indicators or by predictive methods to predict changes in blood flow and clotting, such as those caused by venous thrombosis. When abnormal biomarker patterns are detected, an alert may be sent and a therapeutic response may be initiated.

Methods for treating ocular diseases such as dry age-related macular degeneration include administering non-invasive photobiomodulation light therapy in the context of a prior PBM treatment, on the basis of a subject response to prior PBM treatment, on the basis of a patient pre-treatment characteristic, and combinations thereof. In some embodiments, methods comprise administering PBM therapy to subjects who have received PBM about four to six months prior to the present administering. In some embodiments, methods comprise administering PBM therapy to subjects in early stages of dry age-related macular degeneration.

The invention relates to a non-intrusive fast scanning identification method and system for MEMS resonant frequency, and belongs to the technical field of MEMS device detection.The method comprises the steps that an extremely-low-power broadband detection signal is emitted, a high-sensitivity receiver is used for capturing a weak harmonic wave or intermodulation response signal generated by coupling of the signal and a target MEMS device mechanical structure, and the weak harmonic wave or intermodulation response signal is obtained; after amplification and noise reduction preprocessing, a matched filtering or correlation analysis algorithm is adopted to process a response signal, the resonant frequency of the target MEMS device is rapidly and accurately extracted under the extremely low signal-to-noise ratio, and the whole recognition process does not interfere with normal work of the device. According to the method, a target device does not need to be contacted or interfered, the technical problems that a traditional MEMS resonant frequency identification method is high in invasiveness, low in signal-to-noise ratio, poor in identification precision and low in identification efficiency are solved, and the method has the advantages of being non-invasive, rapid in identification, high in precision and wide in adaptability and is suitable for resonant frequency detection scenes of various MEMS sensors and resonators.

A histotripsy therapy system configured for the treatment of tissue is provided, which may include any number of features. Provided herein are systems and methods that provide efficacious non-invasive and minimally invasive therapeutic, diagnostic and research procedures. The histotripsy therapy system can include a robotic positioning system configured to move and translate an ultrasound transducer array through a treatment volume.