Abstract: An apparatus includes a pre-sample reservoir, a diversion mechanism, and a flow metering mechanism. The diversion mechanism has an inlet port couplable to a lumen-defining device to receive bodily-fluids from a patient, a first outlet port fluidically couplable to the pre-sample reservoir, and a second outlet port fluidically couplable to a sample reservoir. The diversion mechanism defines a first fluid flow path and a second flow path that are configured to place the first outlet port and the second outlet port, respectively, in fluid communication with the inlet port. The flow metering mechanism is configured to meter a flow of a predetermined volume of bodily-fluid through the first fluid flow path into the pre-sample reservoir, to meter a flow of a second volume of bodily-fluid through the second fluid flow path into the sample reservoir, and to display a volumetric indicator associated with the predetermined volume and the second volume.

Abstract: Real time glucose monitoring is the only product of its kind that has the capability of adapting to an ICU's already existing blood monitoring system to communicate real-time blood sugar readings to an ICU monitor. This unprecedented device is uniquely designed with durable, high-quality materials to ensure long-term sustainability and employs advanced Bluetooth technology that works in complement with a patch that manages insulin drips with real time glucose levels.

Abstract: The present invention provides a smart syringe device that comprises an embedded impedance and optical sensors that allows for measuring activated clotting time (ACT) and Hemoglobin and Hematocrit (H&H) within the actual syringe without the need to disconnect the syringe from the patient.

Abstract: The present invention relates to a system (100) for sensor signals dependent dialog generation during a medical imaging process, the system (100) comprising a sensor module (10), configured to measure condition data of a patient; a processor module (20), configured to analyze the condition data of the patient to determine biometric and physical condition data of the patient; a dialog data generation module (30), configured to generate questionnaires data for obtaining real-time feedback from the patient during the medical imaging process, wherein the questionnaires data is based on a parameter of the medical imaging process and on the determined biometric and physical condition data of the patient.

Abstract: A system for management of health conditions, such as mental health conditions, using a biosensor configured to monitor one or more biological properties of an individual and providing feedback and information based on data in real-time. A corresponding method, performed by one or more components of the system, may include monitoring abiological property of the individual, identifying an irregularity as a symptom of the health condition, and intervening with the individual to alleviate the symptom. The method may further include determining an efficacy of the intervention and adapting the method to improve the intervention. The system may be configured to predict a future symptom and preventatively intervene.

Abstract: An information processing device connected to a terminal device of a subject and which visualizes emotion of the subject includes a data managing section that acquires at least data related to voice, a facial expression image, and a pulse wave of the subject; an emotion expression engine section which calculates a brain fatigue level based on a frequency of the voice, which calculates a mood level by extracting an emotion of the subject from the facial expression image, and which calculates a stress level by performing a frequency analysis of the pulse wave by fast Fourier transform and extracting a high-frequency section and a low-frequency section; and a three-axes processing section which displays a graph of points plotted at coordinates corresponding to the brain fatigue level, the mood level, and the stress level in a three-dimensional space defined by an X-axis, a Y-axis, and a Z-axis.

Abstract: A multisensory index system and an operation method thereof are provided. The multisensory index system is configured to derive quantitative parameters and qualitative parameters associated with an auditory sense and a tactile sense, and generate a multisensory index by analyzing a correlation between the quantitative parameters and the qualitative parameters associated with the auditory sense and the tactile sense.

Abstract: A foot strength measuring assembly includes a base is positionable on a horizontal support surface. A panel is pivotally disposed on the base thereby facilitating a user to position each of their feet on the panel. A tensioning unit is integrated into the base to adjust an amount of force necessary to pivot the panel on the base thereby requiring the user to apply a pre-determined amount of pressure to the panel to tilt the panel on the base. A plurality of pressure sensors is each of the pressure sensors is integrated into the panel to sense the magnitude of force applied to the panel when the user attempts to pivot the panel with their feet. A diagnostic unit is integrated into the panel to communicate the magnitude of pressure sensed by the plurality of pressure sensors to facilitate a caregiver to diagnose the function of the user's feet.

Abstract: A position is determined for each fiducial marker of a plurality of fiducial markers in an image volume. Based on the determined positions, a position and orientation of the registration fixture with respect to the anatomical feature is determined. A position is determined for each tracked marker of a first plurality of tracked markers on the registration fixture and a second plurality of tracked markers on the robot arm in a tracking data frame. Based on the determined positions of tracked markers, a position and orientation of the registration fixture and the robot arm of a surgical robot with respect to the tracking space are determined.

Abstract: The device limits the leakage current in an electronic system for recording electrophysiological signals, where the transducer element is an active device, the device comprising an active transducer (1), intended to contact a human tissue, connected to a transimpedance amplifier (2), and a first resistor (6) connected parallel to the transimpedance amplifier (2), an alternate voltage source (7) and a direct voltage source (8), both connected to the active transducer (1), a first capacitor (3) connected between the alternate voltage source (7) and the active transducer (1), a second resistor (4) connected between the direct voltage source (8) and the active transducer (1), parallel with the first capacitor (3) and the alternate voltage source (7), and a second capacitor (5), connected between the active transducer (1) and the transimpedance amplifier (2).

Abstract: The disclosure relates to an electrocardiogram (ECG) data processing method and a non-transitory recording medium storing an instruction set for executing an ECG data processing method, and more particularly, to a method of extracting an analysis-required section from an ECG signal by considering a data value or a morphological pattern of the ECG signal.

Abstract: A method includes steps of acquiring an electrocardiogram signal of an object, generating first signal segmentations by dividing the electrocardiogram signal according to a division rule, classifying the first signal segments into one or more preset groups using an electrocardiogram classification model, classifying second signal segments that do not belong to the one or more preset groups into an abnormal group, determining a noise section associated with the electrocardiogram signal among the second signal segments using a noise decision model, generating an analysis target section associated with the electrocardiogram signal excluding the noise section, and transmitting the analysis target section to an external device to analyze information related to a heart of the object.

Abstract: Some embodiments of the current disclosure are directed toward cardiac diagnosis and/or arrhythmia monitoring, and more particularly, systems, devices and methods for arrhythmia monitoring with a trained classifier including at least one neural network. In some embodiments, an external heart monitoring device may include a plurality ECG electrodes to sense surface ECG activity, ECG processing circuitry to process the surface ECG activity to provide at least one ECG signal, a non-transitory computer-readable medium comprising a rhythm change classifier comprising at least one neural network, and at least one processor to receive the ECG signal(s), detect with the rhythm change classifier time data corresponding to a predetermined rhythm change in the ECG signal(s), determine based on the detected time data at least one ECG signal portion corresponding to the predetermined rhythm change, and transmit the at least one determined ECG signal portion to a remote computer system.

Abstract: Apparatus for use with an electroanatomical mapping system, an elongated needle assembly having a distal energy emitter configured to be detectable by the electroanatomical mapping system, an energy-delivery assembly having at least one sensor configured to receive, at least in part, the distal energy emitter of the elongated needle assembly in such a way that the distal energy emitter and said at least one sensor are movable relative to each other. The apparatus includes a signal-interface assembly. The signal-interface assembly includes a signal-input section configured to be signal connectable to said at least one sensor of the energy-delivery assembly. A signal-output section is configured to be signal connectable to an input section of the electroanatomical mapping system.

Abstract: A cortical spreading depolarization sensing method includes: acquiring, for each of a plurality of sites of the brain, waveform data indicating a temporal change in one or more types of biological information including at least any one of a direct current component of an electroencephalogram, hemoglobin concentration in the brain, cerebral blood flow, and brain temperature; determining windows set at predetermined time intervals on the waveform data and calculating a predetermined feature amount for each of the windows; performing threshold processing on the feature amounts to extract a timing of the occurrence of an event in which a value of the waveform data temporarily changes due to cortical spreading depolarization; acquiring the frequency distribution of the timings extracted based on the plurality of waveform data acquired in relation to a plurality of sites of the brain; and determining whether cortical spreading depolarization has occurred, based on the frequency distribution.

Abstract: The disclosed apparatus, systems and methods relate to predicting, screening, and monitoring for delirium. Systems and methods may include receiving one or more signals from one or more sensing devices; processing the one or more signals to extract one or more features from the one or more signals; analyzing the one or more features to determine one or more values for each of the one or more features; comparing at least one of the one or more values or a measure based on at least one of the one or more values to a threshold; determining a presence, absence, or likelihood of the subsequent development of delirium for a patient based on the comparison; and outputting an indication of the presence, absence, or likelihood of the subsequent development of delirium for the patient.

Abstract: There is provided a method and system for constructing a representation of changes in the state of responsiveness of a mammalian subject's brain to a plurality of repeated external stimuli. The method and system include acquiring a plurality of brain activity measurements of a subject over a plurality of pre-determined time periods. Each of said measurements are of the subject's brain activity preceding and following the presentation of an external stimulus. The method and system further evaluate variability in the acquired brain activity measurements to a plurality of repeated external stimuli by a processor and generate a report of the changes in brain responsiveness states from the variability in said brain activity measurements over the plurality of predetermined time periods.

Abstract: Disclosed is a biomedical device capable of measuring dopamine by means of the FSCV technique.

Abstract: Systems and methods for digitographic measurement of Parkinson's disease in accordance with embodiments of the invention are illustrated. One embodiment includes a digitographic measurement device, including a housing, a plurality of keys attached to the housing, a plurality of sensors, sensor in the plurality of sensors is associated with a key in the plurality of keys and is capable of measuring the amplitude of a key press, and an input/output interface within the housing, where the digitographic measurement device is configured to transmit key press data generated by the sensors to a controller via the input/output interface, and where the key press data is used to generate a plurality of digitographic metrics that describe motor symptoms of a user of the digitographic measurement device.

Abstract: A computer-implemented cognitive assessment tool is provided for assessing cognitive ability of an individual while multi-tasking. In one embodiment, a computer processing system on which the tool is implemented may receive form the individual first responses to a first task and second responses to a second task, where the first task and the second task are presented to the individual simultaneously. The system may determine that the first task and the second task are performed by the individual based on the first responses and the second responses, and compute a cognitive measure using one or both of the first responses and the second responses. Further, computing the cognitive measure may be based on performance measures of one or both of the first responses and the second responses. Based on the cognitive measure, the system may output a cognitive assessment to the individual.

Abstract: An earbud system integrates real-time EEG monitoring with audio playback. Using specialized silicone electrodes, it captures and interprets EEG data, serving as a passive and continuous tool for screening neurological conditions. This allows for on-the-spot brain monitoring while retaining conventional earbud functions. It can particularly be used in medical scenarios, like open brain surgery, where traditional EEGs cannot be integrated during the operation itself. The system aids emotional balance, stress relief, and neurostimulation, bolstering brain health, mood enhancement, and relaxation. Its applications span wellness for therapeutic interventions and entertainment for tailored content using biometric feedback. This invention broadens traditional earbud capabilities, merging biometrics, health tracking, and customized audio suggestions.

Abstract: Systems and methods for virtual pancreatography (VP) are disclosed for non-invasive diagnosis and classification of pancreatic lesions. VP is an end-to-end visual diagnosis system that includes: automatic segmentation of the pancreatic gland and the lesions, extraction of the primary pancreatic duct, automatic classification of lesions into a plurality of lesion types, and specialized 3D and 2D exploratory visualizations of the pancreas, lesions and surrounding anatomy. Volume rendering is combined with pancreas and lesion centric visualizations and measurements for effective diagnosis.

Abstract: There is described a method of reproducing a movement occurring during a pregnancy, the method comprising: determining movement data relating to movements during pregnancy using a sensor device; transmitting the movement data from the sensor device to an external device; storing the movement data on the external device; and transmitting data relating to one or more movements of the movement data from the external device to an output device that is arranged to reproduce the movements, wherein said transmitting occurs substantially after the storing of the movement data; and reproducing the movements using the output device.

Abstract: A body fluid volume estimation device includes a pre-training unit, a transfer learning unit, and an estimation unit. The pre-training unit performs pre-training by using, as supervised information, information indicating body fluid volumes of the multiple patients when face images of multiple patients are captured. The transfer learning unit further performs transfer learning on multiple face images of one specific patient after the pre-training, and constructs a trained model. The estimation unit estimates, by inputting a face image of the one specific patient to the trained model, a body fluid volume at a point in time at which the face image of the one specific patient is captured. By estimating a body fluid volume from a face image by machine learning, the body fluid volume can be used for assistance such as decision making of a user.

Abstract: A body fluid volume estimation device includes a pre-training unit, a transfer learning unit, and an estimation unit. The pre-training unit performs pre-training by using, as supervised information, information indicating body fluid volumes of the multiple patients when face images of multiple patients are captured. The transfer learning unit further performs transfer learning on multiple face images of one specific patient after the pre-training, and constructs a trained model. The estimation unit estimates, by inputting a face image of the one specific patient to the trained model, a body fluid volume at a point in time at which the face image of the one specific patient is captured. By estimating a body fluid volume from a face image by machine learning, the body fluid volume can be used for assistance such as decision making of a user.

Abstract: A body fluid volume estimation device includes a pre-training unit, a transfer learning unit, and an estimation unit. The pre-training unit performs pre-training by using, as supervised information, information indicating body fluid volumes of the multiple patients when face images of multiple patients are captured. The transfer learning unit further performs transfer learning on multiple face images of one specific patient after the pre-training, and constructs a trained model. The estimation unit estimates, by inputting a face image of the one specific patient to the trained model, a body fluid volume at a point in time at which the face image of the one specific patient is captured. By estimating a body fluid volume from a face image by machine learning, the body fluid volume can be used for assistance such as decision making of a user.

Abstract: A body fluid volume estimation device includes a pre-training unit, a transfer learning unit, and an estimation unit. The pre-training unit performs pre-training by using, as supervised information, information indicating body fluid volumes of the multiple patients when face images of multiple patients are captured. The transfer learning unit further performs transfer learning on multiple face images of one specific patient after the pre-training, and constructs a trained model. The estimation unit estimates, by inputting a face image of the one specific patient to the trained model, a body fluid volume at a point in time at which the face image of the one specific patient is captured. By estimating a body fluid volume from a face image by machine learning, the body fluid volume can be used for assistance such as decision making of a user.

Abstract: Disclosed techniques include wound care image analysis using light signatures. A light wavelength is excited on a material sample. The exciting enables capture of fluorescence characteristics of the material sample. The material sample exhibits fluorescence characteristics along the Red-Green-Blue light wavelength spectrum. The material sample is illuminated with at least three additional light wavelengths. The illuminating enables capture of reflectance characteristics of the material sample. The material sample exhibits reflectance characteristics along the Red-Green-Blue light wavelength spectrum. An output indicative of biophysical status of the material sample is generated. The output is based on analysis of the fluorescence characteristics and the reflectance characteristics. The analysis includes identifying a wound topology within the material sample. The wound topology is identified based on measurements in the wound sample. A thermal image of the material sample is captured.

Abstract: A portable polysomnography apparatus comprises a unitary flexible structured pillow that is embedded with one or more sensors for data collection. The one or more sensors can comprise a tilt sensor that is configured to generate respiratory effort signals based on tilting of the head of the subject on the pillow. The one or more sensors can further be configured to generate ballistocardiogram signals from movement of the head of the subject caused by beating of the heart of the subject. The polysomnography apparatus can be advantageously sized and shaped to cause the sleeping subject to properly orient her head with respect to the sensors for optimal data collection while the subject is asleep.

Abstract: A method includes receiving electronically data associated with physical or psychological factors of a user, the data being collected from (a) a plurality of smart home devices, (b) a plurality of mobile devices, or (c) both. The physical or psychological factors are based on at least one physical activity of the user. The method further includes identifying, based on the data, an effect on sleep quality of the user, based on which a remedial action is determined for improving sleep quality of the user. The method also includes causing the remedial action to be communicated in electronic form to the user in real-time during the physical activity, and automatically implementing, without input from the user, at least a part of the remedial action via one or more of the devices. The remedial action increases least one of a deep-sleep state and sleep duration of the user.

Abstract: An infant warming system can include a platform for supporting an infant, at least two chest electrodes configured to connect to and detect cardiac potentials from a chest of the infant, an ECG monitor configured to receive the cardiac potentials from the at least two chest electrodes, a pulse oximeter device configured to determine an SpO2 for the infant, and a processor configured to determine one or more activation thresholds for the infant, wherein the one or more activation thresholds represent one or more target saturation levels for the infant. The processor can also compare the heart rate for the infant to a first heart rate threshold and compare the SpO2 for the infant to the one or more target saturation levels, adjust a display on a display device based on the comparisons, and generate a care instruction for a care stage based on the SpO2 of the infant.

Abstract: Methods, systems, and devices include locating one or more target structures comprised in an eye of a patient based on processing image data of the eye of the patient, determining one or more measurements associated with an anterior portion of the eye based on the location data, and determining a presence, an absence, a progression, or a stage of a disease of the eye based on the one or more measurements. Locating the one or more target structures may be based on an output provided by a machine learning model.

Abstract: Described is a wrist wearable device with non-invasive sensing for the detection, prediction, screening, abstention, or treatment of alcohol, drug use or abuse. In one embodiment, a device (100) includes a substance sensor (108) supported by the device (100). The substance sensor (108) may be any suitable sensor. As show, the device (100) is a wrist wearable device with a case (102), an attachment (104), and a substance sensor (108) supported by the case (102). The attachment (104) as shown is a one-piece band with a coupler (112). The device (100) may communicate with a mobile device such as a phone and, in turn, with a remote processing platform. The remote processing platform can use information from the device (100) for identification of the subject and detection of a condition of the subject in relation to consumption of alcohol or us of other substances, among other things.

Abstract: A wearable device for estimating traditional medicine system parameters is disclosed. The wearable device includes light sources, configured to stimulate skin of a patient through light rays. The wearable device includes sensors, configured to capture patient health parameters. The plurality of subsystems includes a medical input data collection subsystem configured to collect patient information, blood pulse parameters and the captured patient health parameters. The plurality of subsystems includes a health status computation subsystem, configured to apply the collected patient information the captured one or more patient health parameters and the blood pulse parameters onto trained machine learning model and estimate real time set of traditional medicine system parameters.

Abstract: Conventionally, a needle or the like needs to be inserted into skin of a subject to invasively collect blood in blood neutral fat measurement, which provides a psychological physical load on a subject. According to the present invention, it is possible to non-invasively estimate the blood neutral fat based on attribute information and/or non-invasive biological information of a predetermined user by generating a blood neutral fat estimation model by machine learning based on attribute information, non-invasive biological information, and blood examination data acquired from a plurality of subjects in advance.

Abstract: The article (100) comprises a textile body (101), a conductive region (103) and an embossing material (105). The embossing material 105 causes the conductive region (103) to adopt and retain a raised, embossed, profile (107) that projects outwardly from a surface (102) of the textile body (101). The method comprises applying heat and/or pressure to the article (100) to cause the article (100) to adopt the embossed profile (107). The raised, embossed, profile (107) is retained upon release of the applied heat and/or pressure as the embossing material (105) has bonded to the textile body (101) due to the application of heat and/or pressure.

Abstract: A biological data measurement system is provided that includes an annular biosensor and a mobile control unit. The annular biosensor includes a body that has an annular shape and is configured to be worn on a finger and a sensor that measures, for example, a blood pressure. The mobile control unit includes an imager that captures images, and a display that prompts a user holding the mobile control unit in one hand to cause the imager to capture an image of a face of the user and another hand wearing the annular biosensor and displays the captured image. The mobile control unit also includes a controller that determines, based on the image, whether the other hand is at the height of a chest and controls the biological data measurement system based on the result of the determination to obtain data such as the blood pressure.

Abstract: Intravascular devices for interpreting vascular conditions of a blood vessel, such as by measuring flow resistance, and related systems and methods are provided. First and second selectively inflatable balloons are located at a distal portion of a catheter tube spaced apart from one another. One or more ports are located along the catheter tube between the first and second balloons. The second balloon is axially repositionable along the catheter tube relative to the first balloon.

Abstract: A method of making a universal implantable integrated circuit medical device platform having integral and monolithic circuit traces. The platform allows for implanting into a mammalian body single and multi-functional interface devices for sensing, monitoring stimulating and/or modulating physiological conditions within the body. Microelectronic circuitry may be integrated onto the platform or may be joined as modular components to the platform.

Abstract: A system for determining subject orientation includes a medical imaging sensor configured to capture medical imagery of an imaging subject. The system also includes one or more interoceptive sensors, which are configured to obtain interoceptive sensor data indicative of an orientation associated with the system.

Abstract: In a method and system for reducing motion artifacts in magnetic resonance image data acquired from a facial region of a patient, the patient is positioned in an imaging region of a magnetic resonance imaging device configured to perform a magnetic resonance measurement of the facial region of the patient, the magnetic resonance measurement is performed to acquire magnetic resonance image data of the facial region of the patient, and a motion correction technique is employed exploiting an accessibility to the facial region of the patient during the magnetic resonance measurement. The motion correction technique advantageously reduces an influence of a patient motion on the magnetic resonance image data.

Abstract: Systems and methods for detecting and classifying premature ventricular contractions (PVCs) are discussed. An exemplary system includes a sensor circuit to sense a cardiac signal of a subject, and a processor circuit to detect heartbeats from the cardiac signal and detect a PVC under a first detection mode or a different second detection mode. The first detection mode includes identifying a PVC candidate of a particular type using cardiac intervals or signal amplitudes of the detected heartbeats, and classifying the identified PVC candidate as a PVC singleton or a pattern of multiple consecutive PVCs using signal features including morphology features of the sensed cardiac signal. The second detection mode includes detecting PVC of the particular type using the cardiac intervals or the signal amplitudes of the detected heartbeats. The first detection mode can be transitioned to the second detection mode in response to a mode-switching trigger event.

Abstract: An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.

Abstract: A computer-implemented method, computer program product and computing system for: monitoring a device to receive data signals indicative of the device; and processing the data signals over a defined period of time to automatically define one or more defined signal norms for the data signals.

Abstract: A computer-implemented method, computer program product and computing system for: interfacing with a plurality of bedside monitoring devices to receive data signals, wherein the data signals have monitoring criteria; and enabling adjustment of one or more of the monitoring criteria.

Abstract: An imaging system and methods including a gantry defining a bore and an imaging axis extending through the bore, and at least one support member that supports the gantry such that the imaging axis has a generally vertical orientation, where the gantry is displaceable with respect to the at least one support member in a generally vertical direction. The imaging system may be configured to obtain a vertical imaging scan (e.g., a helical x-ray CT scan), of a patient in a weight-bearing position. The gantry may be rotatable between a first position, in which the gantry is supported such that the imaging axis has a generally vertical orientation, and a second position, such that the imaging axis has a generally horizontal orientation. The gantry may be displaceable in a horizontal direction and the system may perform a horizontal scan of a patient or object positioned within the bore.

Abstract: An X-ray detection unit includes an X-ray detector that receives and detects the X-ray beam transmitted through the head. The support supports the X-ray generation unit and the X-ray detection unit. A drive mechanism moves the support such that the X-ray generation unit and the X-ray detection unit turn about an axis extending in a direction parallel to an apparatus vertical direction and around the head. An X-ray generation source moving unit moves the X-ray generation source in the apparatus vertical direction. The X-ray imaging apparatus increases a spread in the apparatus vertical direction of the X-ray beam when the X-ray generation source is located on an apparatus upper side, and decreases a spread in the apparatus vertical direction of the X-ray beam when the X-ray generation source is located on an apparatus lower side.

Abstract: The present invention relates to a medical imaging system (10), comprising:—an X-ray image acquisition unit (20);—a shield placement unit (30);—a radar unit (40); and—a processing unit (50) The X-ray image acquisition unit is configured to acquire an X-ray image of a patient. The shield placement unit is configured to move at least one shield to cover at least one part of the patient to stop or limit X-ray exposure of the at least one part of the patient. The processing unit is configured to control the shield placement unit to move and position the at least one shield. The radar unit is configured to obtain radio frequency “RF” data, wherein the RF data is obtained from the emission of RF radiation and the sensing of reflected RF radiation, and wherein the reflected RF radiation comprises RF radiation reflected from a shield of the at least one shield.

Abstract: In an embodiment, a medical system is disclosed. One embodiment of the medical system comprises a medical processing unit in communication with an intravascular instrument configured to be moved longitudinally within a body lumen and in further communication with a radiographic imaging source configured to obtain radiographic images of the intravascular instrument while the intravascular instrument is moved longitudinally within the body lumen. The medical processing unit is configured to receive radiographic images obtained by the radiographic imaging source, track the intravascular instrument within the radiographic images while the intravascular instrument is moved longitudinally within the body lumen, calculate a movement speed based on the tracking, compare the calculated movement speed to a predefined target movement speed, generate a speed-adjustment suggestion based on the comparison, and output the speed-adjustment suggestion to a display for review by a user.

Abstract: A radiation detector head assembly includes a detector column including a detector having a first surface and a second surface opposite the first surface. The detector column includes a first collimator disposed over the first surface of the detector and a second collimator disposed over the second surface of the detector. The detector column includes a first radiation shield disposed over the first collimator, wherein the first radiation shield includes a first recess for receiving the first collimator and a first opening over a third surface of the first collimator, the third surface being opposite the first surface of the detector. The detector column includes a second radiation shield disposed over the second collimator, wherein the second radiation shield includes a second recess for receiving the second collimator and a second opening over a fourth surface of the second collimator, the fourth surface being opposite the second surface.