Abstract: Monitoring the progression of a wound is critical, as it involves repeated clinical trips and lab tests over days. An artificial intelligence (AI) based system and method for analyzing wounds on a person is provided. The system is configured to take an image of the wound taken from a camera of a person. This image is then provided to the physician after the analysis and physician is able to provide a feedback to the person in terms of a healing index. In the analysis part, the system provides a fully automatized wound segmentation and quantify the parameters that assist wound care professionals. An Al based estimation module is provided, implemented with morphological operations, connected component analysis, and shape analysis, improving accuracy and providing the wound parameter and metrics such as area, perimeter, circle diameter, major and minor axis length of an ellipse.

Abstract: A wound dressing for pressure gradient wound therapy. The wound dressing includes a dressing body and an adhesive layer. The adhesive layer provides an adhesive region for providing a seal between the wound dressing and the periphery of a wound site, in use. Sensors are provided associated with the adhesive region, the sensors being configured to monitor one or more conditions indicative of a hermeticity of the seal between the wound dressing and the periphery of the wound site.

Abstract: This disclosure relates generally to a system and method for shoulder proprioceptive analysis of the person. The present disclosure monitors the shoulder joint motion by quantitative measure of range of motion (ROM) and kinesthesia of shoulder using a smart watch, thereby assessing the limit of active motion and the ability to passively reposition the arm in space. The present disclosure estimates the ROM, velocity, quality of joint movement, direction of hand movement using the sensor data captured by the smart watch. Further, the present disclosure provides a performance metrics of the shoulder function by comparing the shoulder motion before and after a prosthesis procedure. The present disclosure implements a rule engine-based approach classifying the shoulder/arm movement which includes flexion, extension, abduction, and adduction, internal and external rotation.

Abstract: The disclosure herein relates to methods and systems for generating an end-to-end de-smoking model for removing smoke present in a video. Conventional data-driven based de-smoking approaches are limited mainly due to lack of suitable training data. Further, the conventional data-driven based de-smoking approaches are not end-to-end for removing the smoke present in the video. The de-smoking model of the present disclosure is trained end-to-end with the use of synthesized smoky video frames that are obtained by source aware smoke synthesis approach. The end-to-end de-smoking model localize and remove the smoke present in the video, using dynamic properties of the smoke. Hence the end-to-end de-smoking model simultaneously identifies the regions affected with the smoke and performs the de-smoking with minimal artifacts. localized smoke removal and color restoration of a real-time video.

Abstract: The ventricular myocardium in the heart is composed of three cell layer: endocardial, mid-myocardial and epicardial cells. A specific group of myocardial cells termed as M-cells exists in the deep sub-endocardium and mid-myocardium that have a longer action potential duration in comparison to other cell types. A method and system have been provided for analyzing cardiac activity by modelling myocardial cells (M-cells). The method comprises preparing a computational tool that will allow biologists to analyze and retrieve cardiac cellular information automatically and enable discovering of relationships between cellular and cardiovascular system utilizing the M-cells. The method is configured to understand how the properties of M-cells affect the generation of T-wave and how they contribute to arrhythmogenesis in short QT syndrome 2. Pseudo ECGs is created by exciting the tissue in order to analyze the morphology of the T-wave.

Abstract: The disclosure herein relates to methods and systems for localized smoke removal and color restoration of a real-time video. Conventional techniques apply the de-smoking process only on a single image, by finding the regions having the smoke, based on manual air-light estimation. In addition, regaining original colors of de-smoked image is quite challenging. The present disclosure herein solves the technical problems. In the first stage, video frames having the smoky and smoke-free video frames are identified, from the video received in the real-time. In the second stage, an air-light is estimated automatically using a combined feature map. An intermediate de-smoked video frame for each smoky video frame is generated based on the air-light using a de-smoking algorithm. In the third and the last stage, a smoke-free video reference frame is used to compensate for color distortions introduced by the de-smoking algorithm in the second stage.

Abstract: A system and method for determining stress level of a person in real-time have been disclosed. In one aspect, the system captures physiological data associated to the person. In one embodiment, the physiological data may be captured by using a plurality of sensors attached at wrist or ankle or neck or waist or hip of the person, for a predetermined time interval. The plurality of sensors may include a wrist watch or a wristband or a textile material. The system further pre-processes the physiological data in order to extract one or more physiological parameters. In one aspect, the pre-processing may include performing an analysis on the physiological data. The system further determines the stress level of the person upon performing the statistical analysis on the one or more physiological parameters. According to another embodiment, a method for real time determination of stress level of the person has also been provided.

Abstract: A method and device is provided for the continuous estimation of the blood pressure using a noninvasive technique. The method involves sensing of the displacement signal generated by the palpation of the radial artery. The radial artery is modelled as a cylindrical voight type viscoelastic tissue for the estimation of the personalized blood pressure. The model includes the displacement signal and a set of parameters as an input. The set of parameters include a mean radius of the artery, a radius at zero mmHg, a viscoelastic damping parameter, an elasticity of the artery and a thickness of wall of artery. The method involves the optimization of the set of parameters using heuristic optimization techniques, which helps in the estimation of the systolic and diastolic blood pressure. The method and device can also be personalized for individualized monitoring and estimation of the blood pressure of the person.

Abstract: Continuous monitoring of subject's cardiac system using biological signal(s) (BS) during day-to-day activities is essential for managing personal cardiac health/disorders, etc. Conventional systems/methods lack in improvising overall classification results and configured for specific device/signal say ECG or PPG and so on. Present disclosure provides systems and methods for classifying BS obtained from users, wherein BS are preprocessed to obtain filtered signals (FS). Corresponding feature extraction module is utilized for feature set extraction based on features in FS. The feature set is reduced and segmented into test and training data. Biological signal classification model(s) are generated using training data and a BCM is applied on test data to classify biological signals (BS) as one of Atrial Fibrillation (AF), a non-AF, a cardiac arrythmia disorder, or ischemia.

Abstract: The present invention relates to a method (10) and control system (100) for monitoring operation of a pressure gradient wound therapy apparatus (200). A parameter indicative of a rate of change of pressure within the applied wound dressing (202) is measured, and a rate of change of pressure within the applied wound dressing (202) in is determined in dependence on the measured parameter. The rate of change of pressure corresponds to a leak level and is used to control the wound therapy apparatus (200) in accordance with one or more predetermined actions such that an appropriate action is taken for a given leak level.

Abstract: A wound dressing for pressure gradient wound therapy. The wound dressing includes a dressing body and an adhesive layer. The adhesive layer provides an adhesive region for providing a seal between the wound dressing and the periphery of a wound site, in use. Sensors are provided associated with the adhesive region, the sensors being configured to monitor one or more conditions indicative of a hermeticity of the seal between the wound dressing and the periphery of the wound site.

Abstract: Electrocardiogram (ECG) system has been adopted for almost a century to diagnose cardiovascular disease (CVD). Monitoring the cardiac signal provides an insight of CVD and function as an aiding tool for physician towards early detection of cardiac events. A method and wearable device to continuously monitor and determine the cardiac health of the person have been provided. The device is configured to monitor the cardiac system continuously in a partially or fully non-contact manner. The non-contact sensing is achieved by using a hybrid sensing technique. The device consists of a pair of electrodes, one electrode could be a contact sensor that will be touching the skin and the second sensor could be a non-contact sensor. The device facilitates to alert cardiac health monitoring locally or remote location. The device monitors cardiac health in the work environment rather than inducing stress among the participants by making them undergo a stress test.

Abstract: This disclosure relates generally to a system and method for shoulder proprioceptive analysis of the person. The present disclosure monitors the shoulder joint motion by quantitative measure of range of motion (ROM) and kinesthesia of shoulder using a smart watch, thereby assessing the limit of active motion and the ability to passively reposition the arm in space. The present disclosure estimates the ROM, velocity, quality of joint movement, direction of hand movement using the sensor data captured by the smart watch. Further, the present disclosure provides a performance metrics of the shoulder function by comparing the shoulder motion before and after a prosthesis procedure. The present disclosure implements a rule engine-based approach classifying the shoulder/arm movement which includes flexion, extension, abduction, and adduction, internal and external rotation.

Abstract: The present subject matter relates to a computer implemented method for real time determination of stress levels of an individual. The method includes receiving at least one stream of physiological data from at least one primary sensor for a predetermined duration, and preprocessing the at least one stream of physiological data to extract physiological parameters, where the preprocessing includes performing a preliminary analysis on the at least one stream of physiological data. The method further includes determining a stress level of the individual based on at least the physiological parameters, wherein the determining comprises performing a statistical analysis on the physiological parameters.

Abstract: A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.

Abstract: There is described a method for evaluating a heart rate variability comprising: receiving an electrocardiogram representing an electrical activity of a heart; determining a modulation spectrum for the electrocardiogram, the modulation spectrum comprising a plurality of per-frame modulation spectrograms each representing a frequency as a function of a modulation frequency; for each per-frame modulation spectrogram, determining a respective central modulation frequency; determining an indication of the heart rate variability using the determined respective central modulation frequencies for the per-frame modulation spectrograms, a mean central modulation frequency and the number of per-frame modulation spectrograms; and outputting the indication of the heart rate variability.

Abstract: A device and method is provided for the detection of diabetes in a person using pulse palpation signals. The pulse palpation signal is captured from the radial artery of the person using a photo-plethysmograph (PPG) sensor. The PPG signal is then preprocessed by a processor. The preprocessed PPG signal is then analyzed by the processor to detect the peak in the PPG signal. The detected peaks are used to extract a first set of feature parameters. The first of feature parameters are compared with a second set of feature parameters, wherein the second set of feature parameters are extracted from the control group of individuals. Based on the comparison it is detected that the person is one of in normal condition, pre-diabetic condition or a diabetic condition. According to another embodiment, the invention also provides a method to determine the severity index and progression risk of diabetes in the person.

Abstract: Systems and methods for determining an actual fatigue time (AFT) for an activity are provided. The method comprises receiving a standard fatigue time (SFT) representing a time duration. The SFT is indicative of an onset of fatigue in individuals upon continuously performing the activity. The method further comprises receiving at least one external parameter and a fatigue index corresponding to the at least one external parameter. The at least one external parameter and the fatigue index are associated with the activity. The method further comprises determining the AFT for the activity based upon the SFT and the fatigue index.

Abstract: A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.

Abstract: A device and method is provided for the detection of diabetes in a person using pulse palpation signals. The pulse palpation signal is captured from the radial artery of the person using a photo-plethysmograph (PPG) sensor. The PPG signal is then preprocessed by a processor. The preprocessed PPG signal is then analyzed by the processor to detect the peak in the PPG signal. The detected peaks are used to extract a first set of feature parameters. The first of feature parameters are compared with a second set of feature parameters, wherein the second set of feature parameters are extracted from the control group of individuals. Based on the comparison it is detected that the person is one of in normal condition, pre-diabetic condition or a diabetic condition. According to another embodiment, the invention also provides a method to determine the severity index and progression risk of diabetes in the person.