Abstract: Wrist-wearable apparatuses that may be removed and used as a chest-applied cardiac device may include two chest electrodes on an inner surface of a strap (or strap regions), as well as two finger or more finger electrodes on the opposite side of the apparatus. The apparatus may be removed from the wrist and placed on a chest of a patient such that two electrodes are spaced at least five centimeters apart and in contact with the chest and held in place with two or more fingers to capture orthogonal cardiac signals that may be synthesized into a conventional 12-lead cardiac signal.

Abstract: A diagnostic electrocardiogram system employing an electrode lead system (40) for generating one or more electrode signals indicative of electrical activity of a subject heart (10). The diagnostic electrocardiogram system further employs a diagnostic electrocardiograph (50) coupled to the electrode lead system (40) for communicating (e.g., listing, displaying and/or printing a subject electrocardiogram (20) and one more diagnostic electrocardiograms (30) designated as a morphology match to the subject electrocardiogram (20). The subject electrocardiogram (20) includes one or more interpretations of ECG features derived from tire electrical activity of the subject heart (10) as indicated by tire electrode signal(s) (e.g., an algorithmic interpretation and/or an electrocardiographer interpretation of the subject electrocardiogram (20)). The diagnostic electrocardiogram(s) includes one or more diagnoses of ECG features derived from recorded electrical activity of diagnosed heart(s) (11) (e.g.

Abstract: A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment. In some embodiments, the system can further include a support surface having one or more sensors incorporated therein either in addition to sensors affixed to the patient or as an alternative thereof. The support surface is, in some embodiments, capable of responding to commands from the host for assisting in implementing a course of action for patient treatment.

Abstract: Apparatus and methods are provided for using catheters to increase the accuracy of anatomical maps in the setting of patient movement.

Abstract: The present disclosure provides systems and methods for medical imaging. The method may include obtaining a plurality of channels of electrocardiogram (ECG) signals of a heart of a subject; identifying, from the plurality of channels of ECG signals, a target channel of ECG signal, wherein an amplitude of a characteristic wave of the target channel of ECG signal is the maximum amplitude among amplitudes of corresponding characteristic waves of the plurality of channels of ECG signals; and causing, based on the target channel of ECG signal, an imaging device to perform a scan operation on the heart of the subject.

Abstract: A system for monitoring a person may include a person-worn sensor device including at least one sensor (e.g., at least one accelerometer, magnetometer, altimeter, etc.) configured to collect sensor data and a processor to process data from the person-worn sensor device. The processor may be configured to determine or access an orientation of a physical support apparatus (e.g., bed, table, wheelchair, chair, sofa, or other structure for supporting the person), receive sensor data collected by the person-worn sensor device, calculate an orientation of the person relative to the physical support apparatus based on (a) the orientation of the physical support apparatus and (b) the sensor data collected by the person-worn sensor device, and identify, based on the determined orientation of the person relative to the physical support apparatus, a physical support apparatus exit condition indicating an occurrence or anticipated occurrence of the person exiting the physical support apparatus.

Abstract: The invention provides, in some embodiments, methods relating to assessing increased risk of developing atrial fibrillation (AF), and/or the likelihood of responding to particular AF therapies using imaging agents comprising an MMP inhibitor linked to an imaging moiety. The invention further provides methods for evaluating the presence of the risk of developing other cardiovascular conditions and assessing the effectiveness of treatment or other intervention for such conditions by determining MMP levels.

Abstract: The multi-purpose video monitoring camera includes a microprocessor, a CMOS video camera, a thermographic video camera, a display unit and a mic array. The microprocessor includes a baby presence detection module, a warning module, a motion detection module, a breathing detection module, a hot air exhalation detection module, a chest movement detection module, a breathing sound detection module, a suffocation detection module, a temperature measurement module, a urination and defecation detection module, an air conditioning module and a baby growth rate module. By using inputs from both the CMOS video camera and the thermographic video camera, the accuracy of the baby presence detection module is improved.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive a first signal from an exercising device, process the received signal, respond to the received signal by transmitting a second signal to the exercising device, and participate in a pairing process with the exercising device.

Abstract: Techniques are provided that identify and localize on to reentrant and ectopic patterns of electrical activation in the heart wall. These patterns may correspond to atrial fibrillation, ventricular fibrillation, or other heart arrhythmia conditions. The techniques detect these patterns of electrical activity using a multi-lead an intra-cavitary catheter that, along with a controller, is able to track, over a multi-dimensional cubic space, reentrant activity and identify filaments in the heart cavity. The intra-cavitary catheter includes multiple conducting poles positioned in a configuration relative to each other and functioning as either or both sensing and active poles for measuring electrical pathways in the heart wall and over the multi-dimensional space.

Abstract: Systems and methods for detecting an arrhythmic event and storing physiological information associated with the detected arrhythmic event are described. A system may include a first detector to detect an arrhythmic event from a physiological signal sensed from a subject, and generate a confidence indicator indicating a confidence level of the detection of the arrhythmic event. If the confidence indicator indicates a relatively high confidence of arrhythmia detection, the system may provide the detected arrhythmic event to a first process for storing the detected arrhythmic event or generating an alert. If the confidence indicator indicates a relatively low confidence of arrhythmia detection, the system may provide the detected arrhythmic event to at least a second process including confirming or rejecting the detected arrhythmic event.

Abstract: A medical device is configured to set a post-atrial time interval in response to an atrial event and generate an event time signal in response to a ventricular electrical signal crossing an R-wave sensing threshold during the post-atrial time interval. The device accumulates oversensing evidence in response to the event time signal and adjusts a ventricular sensing control parameter based on the accumulated oversensing evidence in some examples.

Abstract: An ECG information processing method and ECG workstation, wherein the method comprises: the ECG workstation receives the ECG data output by an ECG device, the ECG data includes ID of the measured object and the detection time information; perform ECG data analysis on the ECG data to generate report data; receive a report data query input by the user, query corresponding report data according to the user ID of the user, and generate report data query result list data; acquire the selected report data according to the selection instruction, determine output mode information and output format information according to the report output, and, selectively output report conclusion data, report entry data, and/or the partial data or all the data in the report graphic data, and convert the partial data or all the data in data format according to the output format information, to generate report output data.

Abstract: The ablation and mapping catheter dedicated to treatments in electrocardiology and ablation of cardiac arrhythmias with the possibility of visualisation includes a distal tip, diagnostic rings, a main tube, a guiding handgrip, and an electrical connector for a generator through which the diagnostic rings and a distal ring are connected to a system for three-dimensional electroanatomical mapping. The catheter includes at least 8 (up to 14) diagnostic rings, wherein 4 diagnostic distal rings are connected to one generator and through it to the system for three-dimensional electroanatomical mapping and to an electrophysiological system, and subsequent 4 (up to 10) diagnostic proximal rings are connected to a second generator and/or to the system for three-dimensional electroanatomical mapping and to the electrophysiological system.

Abstract: An EKG monitor and cable management system, including a housing, a plurality of retraction reels operably mounted in said housing; and a plurality of EKG leads, each including wires having electrodes disposed at a terminal end, each spooled on one of said reels. The leads deploy and retract in pairs, with the frontal leads retracting as a group of three pairs onto three separate retraction reels.

Abstract: Systems and methods are described for subject rehospitalization management. In an example, multiple physiologic signals can be obtained from a subject using multiple sensors. In response to a hospitalization event, pre-hospitalization characteristics of the multiple physiologic signals can be identified. Post-hospitalization characteristics of the multiple physiologic signals can be identified, including characteristics that differ from their corresponding pre-hospitalization characteristics. Later subsequent physiologic signals can be further monitored after the hospitalization event, such as using the same multiple sensors, and subsequent physiologic signal characteristics can be identified. In an example, a heart failure diagnostic indication can be determined using information about the pre-hospitalization characteristics, the post-hospitalization characteristics, and the subsequent characteristics.

Abstract: A hospitalization management system including a heart failure analyzer that receives diagnostic data including at least sensor data representative of one or more physiological signals sensed from a hospitalized patient using one or more sensors and assesses risk of rehospitalization for the patient using the diagnostic data. The outcome of the risk assessment is used during and following the patient's hospitalization for reducing the risk of rehospitalization.

Abstract: A biological information measuring apparatus includes a first electrode provided in contact with a user's external auditory canal and a second electrode provided in contact with the user's concha cavum.

Abstract: The EKG cord management system is a cable management system. The EKG cord management system is configured for use with the leads of an EKG machine. The EKG cord management system comprises a plurality of lead structures, a probe connector, and a housing. The EKG cord management system deploys the plurality of lead structures from the housing. The EKG cord management system retracts the plurality of lead structures into the housing. Each lead structure selected from the plurality of lead structures measures electrical activity in a human body. The probe connector electrically connects each of the plurality of lead structures to a machine known as an EKG machine.

Abstract: Methods, systems, and devices are disclosed for an efficient hardware architecture to implement gradient boosted trees for detecting biological conditions. For example, a method of detecting a biological condition includes receiving, by a device, a plurality of physiological signals from a plurality of input channels of the device, selecting, based on a trained prediction model, one or more input channels from the plurality of input channels, converting the one or more physiological signals received from the one or more input channels to one or more digital physiological signals, identifying, by using the plurality of gradient boosted decision trees, the selected characteristic in the one or more digital physiological signals, and determining a presence of a physiological condition based on an addition of the output values obtained from the plurality of gradient boosted decision trees.

Abstract: A method of determining the risk of developing a known disease or condition or of identifying the presence of the known disease or condition in a subject includes obtaining subject data that includes results of blood tests. The blood tests include a basic metabolic panel (BMP) and a complete blood count (CBC) panel. The method further includes classifying the subject data with respect to the risk of the subject having or developing the known disease or condition by using the subject data in a machine learning classification system. The classification system includes a machine learning model previously trained on BMP and CBC data from a positive group of training subjects who received a diagnosis of the disease or condition and from a negative group of training subjects who were not diagnosed to have the disease or condition.

Abstract: A blood pressure measurement device and a calculation method thereof are disclosed. The blood pressure measurement device includes a pressurizing motor unit and an exhaust valve unit in communication with an airbag unit. The blood pressure calculation method includes steps of controlling the pressurizing motor unit to pressurize the airbag unit; measuring pressurized measurement data from the airbag unit in a pressurization process; controlling the pressurizing motor unit to stop pressurizing the airbag unit, and controlling the exhaust valve unit to depressurize the airbag unit; measuring depressurized measurement data from the airbag unit in a depressurization process; extracting blood pressure parameters from the pressurized measurement data and the depressurized measurement data; calculating an average of the blood pressure parameters extracted from the pressurized measurement data and the depressurized measurement data, to obtain a blood pressure measurement result.

Abstract: A patient-worn ambulatory cardiac monitoring device for monitoring a patient during a patient activity includes at least one physiological sensor configured to detect signals indicative of cardiac activity, an activity sensor and associated circuitry configured to monitor patient movements, and a vibrational sensor configured to monitor a cardio-vibrational signal of the patient. The at least one physiological sensor can include one of an ECG sensor and a heart rate sensor. At least one processor in communication with the at least one physiological sensor, the activity sensor, and the vibrational sensor, is configured to measure, during the patient activity, at least one time interval between an ECG fiducial point in an ECG signal and a cardio-vibrational fiducial point in the cardio-vibrational signal during a cardiac cycle of the patient's heart.

Abstract: A device for detecting points and/or regions of rotational electrophysiological activity in or on a heart comprises an input for receiving spatiotemporal electrophysiological data corresponding to a plurality of spatial locations in or on the heart, a time feature extractor for providing time values indicative of times of occurrence of a predetermined feature of a plurality of electric potential waveforms at the spatial location, a mapping unit for providing pairs of adjacent spatial locations; a directed graph generator for generating a directed graph comprising directed edges; a topological feature analyzer.

Abstract: This document discusses, among other things, systems and methods to determine an indication of discharge readiness for a patient using received physiologic information of the patient corresponding to hospitalization of the patient and received physiologic information of the patient corresponding to a time after hospitalization.

Abstract: Devices, systems and methods useable for useable for monitoring a physiological variable in a target tissue or body fluid located within the thorax of a subject by optical spectroscopy.

Abstract: A method includes receiving a bipolar signal sensed by a pair of electrodes at a location in a heart of a patient. One or more electrocardiogram (ECG) signals are received, sensed by body-surface electrodes attached to the patient. Two or more successive QRS complexes are identified in the bipolar signal. One or more activations are detected in the bipolar signal, which occur within a window-of-interest that begins at least a given time with respect to the identified QRS complexes. The detected activations are checked whether they are late potentials, by verifying whether (i) the activations do not coincide with a predefined event observed in the ECG signals, and (ii) the activations are repeatable in the successive QRS complexes. In response to deciding that at least one of the detected activations is a late potential, the latest of the at least one of the late potentials is visualized to a user.

Abstract: Systems and methods are disclosed for providing a cardiovascular score for a patient. A method includes receiving, using at least one computer system, patient-specific data regarding a geometry of multiple coronary arteries of the patient; and creating, using at least one computer system, a three-dimensional model representing at least portions of the multiple coronary arteries based on the patient-specific data. The method also includes evaluating, using at least one computer system, multiple characteristics of at least some of the coronary arteries represented by the model; and generating, using at least one computer system, the cardiovascular score based on the evaluation of the multiple characteristics. Another method includes generating the cardiovascular score based on evaluated multiple characteristics for portions of the coronary arteries having fractional flow reserve values of at least a predetermined threshold value.

Abstract: Methods and systems for autonomous cardiac mapping are disclosed. An example system for autonomous cardiac mapping of a heart chamber includes a processor being configured to acquire a representative geometric shell of the heart chamber, control a robotic device to autonomously navigate a mapping probe to a plurality of locations within the heart chamber based at least in part on the representative geometric shell, and generate a three-dimensional electroanatomical map of the heart chamber based on electrical data collected by the probe at the plurality of locations.

Abstract: Devices, systems, and techniques are disclosed for determining spatial relationships between electrodes implanted within a patient. In one example, a medical device delivers, via a first electrode, an electrical stimulus and senses, for each other electrode, a respective electrical signal indicative of the electrical stimulus. The medical device determines, for each other electrode, a respective value for each respective electrical signal. The medical device determines, based on the respective values for each respective electrical signal and values of tissue conductivity of tissues of the patient interposed between the first electrode and the other electrodes, spatial relationships between the first electrode and each other electrode of the plurality of electrodes.

Abstract: Apparatus and methods are described for monitoring a subject. A sensor monitors the subject and generates a sensor signal in response thereto and a plurality of filters are used to filter the sensor signal using respective filter parameters. A computer processor receives the sensor signal, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Subsequently, the computer processor detects that the subject has undergone motion, by analyzing the sensor signal, and in response thereto, filters the signal with each of two or more of the filters, and in response to a quality of each of the filtered signals, selects one of the plurality of filters to filter the sensor signal. Other applications are also described.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to receive a first signal from an exercising device, process the received signal, respond to the received signal by transmitting a second signal to the exercising device, and participate in a pairing process with the exercising device.

Abstract: A technology is provided for predicting congestion or crowding of services over a future time interval, and may be utilized for forecasting congestion in a hospital emergency department. One embodiment of this technology comprises a decision support tool for resources management to prevent overcrowding and long waiting times, or for mitigating ED congestion by, for example, warning hospital managers that a significant likelihood exists of ED congestion over a future time frame, or automatically initiating mitigative actions. A time series of consecutive ED arrivals timestamps is processed to determine a presence (or absence) of positive autocorrelation or self-similarity and estimate Hurst exponent values to generate a forecast model. The forecast model is utilized to determine future ED demand.

Abstract: A USB cable that includes a cable coupling element selected from a first connector, a printed circuit board, or a device, as well as a multi-port connector that includes a multi-port connector including a housing, at least two ports defined by the housing, at least two female USB connectors disposed within the housing, and at least two retention arms extending from the housing. The USB cable also includes conductors electrically coupling the first connector to the at least two female USB connectors and a jacket extending between the first connector and the multi-port connector, wherein the conductors are at least partially disposed within the jacket. In another USB cable, in addition to or as an alternative to the retention arms, each of the at least two female USB connectors is spaced at least 10 mm from the opening of the port through which the female USB connector is accessible.

Abstract: A system for automatically assessing orthostatic hypotension for a patient supported on a patient support apparatus. The system receives position data identifying a first position of a patient supported on a patient support apparatus, and after a delay, receives vital signs data of the patient. The system receives position data identifying a second position of the patient supported on the patient support apparatus, and after a delay, receives vital signs data of the patient. The system determines an orthostatic hypotension assessment based on a difference in the vital signs data between the first and second positions. Based on the orthostatic hypotension assessment, the system modifies one or more conditions on the patient support apparatus to mitigate a risk for patient fall.

Abstract: Embodiments herein relate to implantable medical devices including a power subunit with a first biocompatible electrically conductive shell configured for direct contact with an in vivo environment. In some embodiments a lithium anode can be disposed within the first biocompatible electrically conductive shell in direct electrical communication with a feedthrough pin, wherein the feedthrough pin is electrically isolated from the first biocompatible electrically conductive shell. A cathode can also be disposed within the first biocompatible electrically conductive shell and can be in direct electrical communication with the first biocompatible electrically conductive shell. The first biocompatible electrically conductive shell has a positive electrical potential. The implantable medical device further includes an electronics control subunit with a control circuit disposed within a second biocompatible electrically conductive shell. Other embodiments are included herein.

Abstract: The invention relates to wearable electronic equipment and method for measuring heart rate or muscular activity of a person. The equipment comprises one or more heartbeat or muscular activity sensors for providing a heartbeat or muscular activity signal, respectively, and a motion sensor for providing a motion signal corresponding to movement of the person. In addition, there are provided processing means for detecting from the heartbeat or muscular activity signal first events corresponding to individual heartbeats or muscle activations, respectively, and from the motion signal second events corresponding to movement changes stronger than a predefined threshold. The processing means are further programmed to form a first time series of said first events, and to determine the heartbeat or muscular activity parameter using the first time series.

Abstract: Provided are a system and method of generating an aggregated stability map of one or more rotational sources associated with a heart rhythm disorder. In accordance therewith, a plurality of rotational area profile maps is accessed for a plurality of analysis intervals. Each of the profile maps includes rotation intensity values for a plurality of locations associated with rotation of the one or more rotational sources. An aggregated stability map is generated based on the profile maps, wherein the stability map includes a plurality of locations. Each location includes a rotation intensity value based at least on a filter number of highest rotation intensity values from corresponding locations of the profile maps, the filter number being automatically determined from a plurality of filter numbers such that the plurality of profile maps as filtered includes a predetermined number of rotation intensity values in excess of a threshold intensity value.

Abstract: Embodiments include a system for determining patient cardiovascular information which includes at least one computer system configured to receive patient-specific data regarding a geometry of an anatomical structure of a patient; create a model representing at least a portion of the anatomical structure of the patient based on the patient-specific data; determine a first blood flow rate at at least one point of interest in the model by using relations of individual-specific anatomic data to functional estimates of blood flow characteristics generated from a plurality of individuals; modify the model; determine a second blood flow rate at a point in the modified model corresponding to the at least one point of interest by using the relations of individual-specific anatomic data to functional estimates of blood flow characteristics; and determine a fractional flow reserve value as a ratio of the second blood flow rate to the first blood flow rate.

Abstract: A device, system, and method is provided for detecting pain in a cardiac-related region of the body and determining whether that pain is cardiac or non-cardiac. The device, system, and method may include calculating or determining a first feature based on a variation in activity level and a variation in the detected heartrate measurement and a second feature based on a variation in the detected ECG features and a first feature and then subjecting at least the first feature and the second feature to a cardiac pain classifier to determine a cardiac classification.

Abstract: A system and method for measuring the impedance of one or more of a plurality of leads in an electrocardiogram (ECG) are disclosed. These may include applying a plurality of leads to a patient's body, applying a plurality impedance pads to the patient's body, providing a burst pulse from the catheter electrode of the ECG, measuring impedance signals across ones of the plurality of impedance pads and the plurality of leads, and determining the impedance for one or more leads from the measured impedance signals. The plurality of impedance pads may define a first axis from the right side of the patient's chest to the left side of the patient's chest, a second axis from the upper chest area of the patient to the lower abdomen area of the patient, and a third axis from the center of the patient's back to the center of the patient's chest.

Abstract: A method includes, in a calibration phase, positioning a calibration-tool, including a mapping-electrode and a sensor of a location-measuring system, in an organ. The calibration-tool is tracked at different positions in the organ using the location-measuring system. A set of calibration data points is generated at the respective different positions, each calibration data point including signal-values obtained using the mapping-electrode and a corresponding position measurement of the sensor by the location-measuring system. The method further includes, in an investigation phase that is subsequent to the calibration phase, positioning an investigation-tool at a location in the organ. The signal-values at the location are measured using a mapping-electrode of the investigation-tool.

Abstract: A physiological signal processing system for a physiological waveform that includes a cardiovascular signal component provides a variable high pass filter that is responsive to the physiological waveform, and that is configured to high pass filter the physiological waveform in response to a corner frequency that is applied. A heart rate metric extractor is responsive to the variable high pass filter and is configured to extract a heart rate metric from the physiological waveform that is high pass filtered. A corner frequency adjuster is responsive to the heart rate metric extractor and is configured to determine the corner frequency that is applied to the variable high pass filter, based on the heart rate metric that was extracted. Analogous methods may also be provided.

Abstract: A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle.

Abstract: Systems and methods are described for subject rehospitalization management. In an example, multiple physiologic signals can be obtained from a subject using multiple sensors. In response to a hospitalization event, pre-hospitalization characteristics of the multiple physiologic signals can be identified. Post-hospitalization characteristics of the multiple physiologic signals can be identified, including characteristics that differ from their corresponding pre-hospitalization characteristics. Later subsequent physiologic signals can be further monitored after the hospitalization event, such as using the same multiple sensors, and subsequent physiologic signal characteristics can be identified. In an example, a heart failure diagnostic indication can be determined using information about the pre-hospitalization characteristics, the post-hospitalization characteristics, and the subsequent characteristics.

Abstract: Provided is a reverse current switch. The reverse current switch includes: a comparison unit including a first input end, a second input end, and a first output end; and a switch resistance unit, where a first end of the switch resistance unit is connected to the first input end, a second end of the switch resistance unit is connected to the second input end, and a third end of the switch resistance unit is connected to the output end of the comparison unit, and the switch resistance unit is controlled by a voltage of the first output end. This reverse current switch has a simple structure and can implement working under low voltage conditions.

Abstract: A method for contextually aware determination of respiration includes obtaining, by an electronic device, context information and selecting, by the electronic device, a set of sensor data associated with respiratory activity of a subject, based on the context information. The method further includes selecting, based on the selected set of sensor data, an algorithm from a plurality of algorithms for determining a respiration rate of the subject, and determining, by applying the selected algorithm to the selected set of sensor data associated with respiratory activity of the subject, the respiration rate for the subject.

Abstract: A system for monitoring a person may include a person-worn sensor device including at least one sensor (e.g., at least one accelerometer, magnetometer, altimeter, etc.) configured to collect sensor data and a processor to process data from the person-worn sensor device. The processor may be configured to determine or access an orientation of a physical support apparatus (e.g., bed, table, wheelchair, chair, sofa, or other structure for supporting the person), receive sensor data collected by the person-worn sensor device, calculate an orientation of the person relative to the physical support apparatus based on (a) the orientation of the physical support apparatus and (b) the sensor data collected by the person-worn sensor device, and identify, based on the determined orientation of the person relative to the physical support apparatus, a physical support apparatus exit condition indicating an occurrence or anticipated occurrence of the person exiting the physical support apparatus.

Abstract: Some embodiments of the present disclosure relate to electronic technologies, and provide a detection circuit. According to embodiments of the present disclosure, the detection circuit includes a first load module, a second load module, a third load module, a first detection module, a second detection module, and an obtaining module. A first end of the first detection module is connected to a junction between a first detection electrode and the first load module, a second end of the first detection module is connected to the obtaining module, a first end of the second detection module is connected to a junction between a second detection electrode and the second load module, and a second end of the second detection module is connected to the obtaining module.

Abstract: Systems and methods for detecting an anomaly in a cardiovascular signal using hierarchical extremas and repetitions. The traditional systems and methods provide for some anomaly detection in the cardiovascular signal but do not consider the discrete nature and strict rising and falling patterns of the cardiovascular signal and frequency in terms of hierarchical maxima points and minima points. Embodiments of the present disclosure provide for detecting the anomaly in the cardiovascular signal using hierarchical extremas and repetitions by smoothening the cardiovascular signal, deriving sets of hierarchical extremas using window detection, identifying signal patterns based upon the sets of hierarchical extremas, identifying repetitions in the signal patterns based upon occurrences and randomness of occurrences of the signal patterns and classifying the cardiovascular signal as anomalous and non-anomalous for detecting the anomaly in the cardiovascular signal.