Koninklijke Philips Corporation N.V.

Nxp B.v.

Koninklijle Philips N.v.

Nagaraju Bussa

Krishnamoorthy Palanisamy

Rajendra Singh Sisodia

Vikram Basawaraj Patil Okaly

Ramon Quido Erkamp

John Petruzzello

Shriram Sethuraman

Ajay Anand

Shiwei Zhou

Ravindra Balasaheb Patil

Shankar Mosur Venkatesan

Sudipta Chaudhury

Sainath Karlapalem

Abhishek Jain

Kumar Rajamani

Sushanth Govinahallisathyanarayana

Dinesh Mysore Siddu

Jithendra Vepa

Christopher Stephen Hall

Larry Nielsen

Rithesh Sreenivasan

Meru Adagouda Patil

Bijo Thomas

Srinivas Rao Kudavelly

Prasad Raghotham Venkat

Shreya Anand

Hubertus G H Vermeulen

Anshul Jain

Pravin Pawar

Sushanth Govinahalli Sathyanarayana

Udaya Seshua

Narendranath Udupa

The invention discloses an apparatus for stroke characterization. The apparatus comprises a processor. The processor is configured to receive image data representing a three-dimensional image of a head of a subject; identify a region within the image data corresponding to bone in the head of the subject; apply an adjustment to the image data to compensate for effects resulting from radiation scattered from the bone during acquisition of the image data; generate a two-dimensional image based on the adjusted image data; and provide the generated two-dimensional image as an input to a predictive model to identify a region of interest for stroke characterization in the two-dimensional image.

Image processing for stroke characterization

A medical imaging system () includes a processor and memory with instructions executable by the processor to receive () three-dimensional medical image data () comprising multiple slices, receive () an imaging modality () of the three-dimensional medical image data, receive () an anatomical view classification () of the three-dimensional medical image data, select () a chosen abnormality detection module () from a set of abnormality detection modules () using the imaging modality and the anatomical view classification, wherein at least a portion of the abnormality detection modules is a convolution neural network trained for identifying if the at least a portion of the multiple slices as either normal or abnormal, classify () the at least a portion of the multiple slices as normal or abnormal using the abnormality detection module, and choose () a set of selected slices () from the multiple slices according to a predetermined selection criteria () if a predetermined number of the multiple slices are classified as abnormal.

Automatic slice selection in medical imaging

Presented are concepts for detecting subject motion in medical imaging of a subject. One such concept obtains a motion classification model representing relationships between motion of image features and subject motion values. For each of a plurality of medical slice images of an imaged volume of the subject, an image feature of the medical slice image is extracted. Based on the extracted image feature for each of the plurality of medical slice images, motion information for the image feature is determined. Based on the motion information for the image feature and the obtained motion classification model, a subject motion value is determined.

Detecting subject motion in medical imaging

A method for aligning spatially different subvolumes of ultrasonic data of a blood vessel comprising: acquiring temporally discrete signals of a blood vessel with elements of a two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a first position with respect to the blood vessel during the acquiring; Doppler processing the temporally discrete signals received from each transducer element to produce spectral Doppler data of the scanning depth opposed by each transducer element; producing a first three dimensional map of the spectral Doppler data in spatial relationship to the position of the array with respect to the blood vessel; acquiring temporally discrete signals of the blood vessel with elements of the two dimensional array of ultrasonic transducer elements from spatially different depths of scanning opposed by each transducer element, said array being located in a second position with respect to the blood vessel during the acquiring; Doppler processing the temporally discrete signals received from each transducer element to produce spectral Doppler data of the scanning depth opposed by each transducer element; producing a second three dimensional map of the spectral Doppler data in spatial relationship to the position of the array with respect to the blood vessel; aligning the first three dimensional map with the second three dimensional map on the basis of one or more regions of matching spectral Doppler data of the two map; and producing a combined three dimension map of the blood flow of the vessel from the aligned first and second three dimensional maps.

Method for aligning spatially different subvolumes of ultrasonic data of a blood vessel

There is provided a computer-implemented method () for obscuring one or more facial features of a subject in an image. A head of the subject is detected in the image () and a location of one or more facial features of the subject is identified in the image (). A region of the image to modify is determined based on the location of the one or more facial features (). The determined region comprises a part of the head on which the one or more facial features are located. The image within the determined region is modified to obscure the one or more facial features ().

Obscuring facial features of a subject in an image

A non-imaging diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe () with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

System for automated screening of carotid stenosis

There is provided a method and apparatus for calibrating measurements made using a medical monitoring device. A conversion factor may be obtained including a first cross correlation that describes the correlation between measurements made using a first medical monitoring device and measurements made using a second medical monitoring device. The first conversion factor may then be used to convert measurements from the first medical monitoring device onto the same scale as measurements from the second medical monitoring device.

Method and apparatus for calibrating a medical monitoring device

A diagnostic ultrasound system for carotid artery diagnosis has a two dimensional array probe with a low element count and relatively large element size which can cover an area of the carotid artery at its bifurcation. The elements are operated independently with no phasing, and detect Doppler flow spatially beneath each element. The system produces maps of carotid blood flow in two or three dimensions and can assemble an extended view of the flow by matching segments of the carotid flow as the probe is moved over the vessel. Once the carotid artery has been localized, the degree of stenosis is assessed by automated measurements of peak systolic velocity and blood flow turbulence.

Doppler ultrasound system for diagnosing carotid stenosis

The present invention relates to a method of automatic labeling of activity of a subject on ECG data. The method of the invention comprises acquiring at least one physiological input signal purporting to an ECG signal and processing thereof. The processing of the at least one physiological input signal comprises conditioning the ECG signal and processing thereof, wherein the processing comprises obtaining respiration data from the ECG signal, identifying the activity pertaining to the said ECG data based on at least a signal specific feature of the said ECG signal, wherein the respiration data are used for differentiating activities performed by the subject, and labeling the said ECG data with the said activity, automatically. The present invention also relates to a system for automatic labeling of activity on ECG data in accordance with the method of the invention.

Method and a system for automatic labeling of activity on ECG data

Signal processing devices normally filter the signal to reduce noise. Any filtering is likely to eliminate useful components of the signal too. A device for and method of signal processing is disclosed, wherein intrinsically clean signal cycles are selected for reproduction so that the processed signal retains components of all frequencies. A system that uses the disclosed device and the method for processing periodic physiological signals is also disclosed.

Processing of periodic physiological signals

An apparatus () for diagnosing asthma is disclosed. The apparatus () comprises a data acquisition module () configured to acquire at least one physical deformation feature associated with at least one of nasal flaring, neck retraction and inter-coastal retraction of a subject under examination and an analysis module () configured to analyze the acquired at least one physical deformation feature associated with at least one of the nasal flaring, the neck retraction and the inter-coastal retraction of the subject under examination and diagnose the asthma based on the analyzed at least one physical deformation feature associated with at least one of the nasal flaring, the neck retraction and the inter-coastal retraction of the subject under examination. The disclosed apparatus () can be used for monitoring asthma at home, at hospital or in ambulatory patients.

Diagnosis of asthma

A data processing system is provided with at least one processing unit () for an interleaved processing of multiple tasks (T-T), and a cache () associated to the at least one processing unit () for caching data for the multiple tasks (T-T) to be processed by the at least one processing unit (). The cache () is divided into a plurality of cache lines (). Each of the cache lines () is associated to one of the multiple tasks (T-T). Furthermore, a task scheduler () is provided for scheduling the multiple tasks (T-T) to be processed in an interleaved manner by the at least one processing unit (). A cache controller () is provided for selecting those cache lines () in the cache (), which are to be evicted from the cache (). This selection is performed based on the task scheduling of the task scheduler ().

Data processing system and method for cache replacement using task scheduler

This method for analysing the sounds of body fluid flows includes:&#x2014;simultaneously acquiring () sounds from various locations of a body;&#x2014;identifying () the points of maximum sound intensity (PMIs) of the acquired sounds for each acquisition instant;&#x2014;determining () the source locations of the acquired sounds; and&#x2014;determining () the sound radiation patterns of the acquired sounds. A corresponding device, system and program perform this method.

Non invasive analysis of body sounds

A memory region protection unit is disclosed that comprises a first register for storing a memory region address, a second register for storing the memory region size, an arithmetic function block for executing an arithmetic function on a memory address provided to the region protection unit and the address value in the first register. The unit further has a comparator for comparing the output of the arithmetic function block with the size value in the second register, the comparator being coupled to an output for signalling the validity of the memory address on the bus The region protection unit has a controller configured to retrieve the memory region address and the memory region size from instructions issued to the region protection unit for associating the unit with said region, and to dissociate the unit from its memory region in response to a further instruction.

Region protection unit, instruction set and method for protecting a memory region

A data processing system is provided comprising at least one processing unit (PU) for data processing and a debugger means (DM) for debugging the processing of the at least one processing unit (PU) based on a plurality of breakpoints. The debugger means (DM) comprises a first register (BAR) for storing a base address for one of the plurality of breakpoints, wherein the debugging means (DM) initiates the debugging of the processing of the at least one processing units (PU) based on the base address stored in the first breakpoint register, i.e. the base address register. A second breakpoint register (OR) is provided for storing an offset for obtaining subsequent breakpoints. A logic arithmetic unit (LAU) is provided for repetitively calculating a breakpoint condition based on the base address stored in the first breakpoint register and the offset stored in the second breakpoint register and for updating the base address stored in the first breakpoint register.

Growing community of inventors

Bengaluru, India

Nagaraju Bussa