Abstract: Methods and systems for automated electrocardiogram (ECG) analysis using neural networks, enhancing the accuracy of beat-by-beat cardiac monitoring. The system utilizes a Generative Adversarial Network (GAN) and beat classifiers to analyze ECG data and detect conditions various beast properties of an ECG at a discrete level. Additional neural networks may be trained to detect beat based conditions such as premature atrial contractions (PACs) and premature ventricular contractions (PVCs). The GAN generates realistic ECG beats, while classifiers detect abnormalities. Additional transformers may be trained to detect rhythm based conditions such as AFib and Aflutter. Methods and Systems support real-time cardiac health insights and integrates with ECG devices for continuous monitoring, offering a robust solution for improving diagnostic accuracy.

Abstract: A multi-label ranking method includes receiving, at a processor and from a first set of artificial neural networks (ANNs), multiple signals representing a first set of ANN output pairs for a first label. A signal representing a second set of ANN output pairs for a second label different from the first label is received at the processor from a second set of ANNs different from the first set of ANNs, substantially concurrently with the first set of ANN output pairs. A first activation function is solved based on the first set of ANN output pairs, and a second activation function is solved based on the second set of ANN output pairs. Loss values are calculated based on the solved activations, and a mask is generated based on at least one ground truth label. A signal, including a representation of the mask, is sent from the processor to each of the sets of ANNs.

Abstract: A multi-label ranking method includes receiving, at a processor and from a first set of artificial neural networks (ANNs), multiple signals representing a first set of ANN output pairs for a first label. A signal representing a second set of ANN output pairs for a second label different from the first label is received at the processor from a second set of ANNs different from the first set of ANNs, substantially concurrently with the first set of ANN output pairs. A first activation function is solved based on the first set of ANN output pairs, and a second activation function is solved based on the second set of ANN output pairs. Loss values are calculated based on the solved activations, and a mask is generated based on at least one ground truth label. A signal, including a representation of the mask, is sent from the processor to each of the sets of ANNs.

Abstract: A computer vision platform generates and maintains a digital representation of physical objects in a physical space, where the digital representation comprises objects corresponding to the physical objects and the objects comprise attributes. The attributes can include enhancer attributes, expression attributes, and state machine attributes that are specified by a user during a configuration process. In one embodiment, the computer vision platform comprises a video runtime module, a detector runtime module, an application runtime module, and an aggregation module. The video runtime module captures and processes video streams into video frames. The detector runtime module identifies and tracks physical objects and attributes in the video frames. The application runtime module builds a digital representation of objects corresponding to the physical objects, derives additional data from user-defined attributes, and builds relationships between disparate physical objects.

Abstract: A supplemental oxygen delivery system is described in which Aerosol is delivered into a housing 10, 20, which sits in the circuit from the supplemental oxygen supply and optional humidifier. The supplemental oxygen passes through this chamber 10, 20 in which the aerosol is located, and collects the aerosol transporting it to a patient via a nasal cannula 3 or a face mask 4. An aerosol generator 9 is mounted to the housing 10, 20 and delivers aerosol into an oxygen stream 13 flowing between an inlet 14 and an outlet 15 of the housing 10. The housing 10 also has a removable plug 16 in the base 17 thereof for draining any liquid that accumulates in the housing 10. There is no disruption of oxygen delivery to patients using nasal cannulas who currently have to use a separate face-mask when receiving nebulized medication.

Abstract: An aerosol generator is positioned adjacent to a patient as an attachment to a trocar. The trocar has an entry port for insufflation gas. Aerosol generated by a vibrating element is entrained in the insufflation gas and the mixture is delivered through the trocar. The aerosol may contain a medicament. The trocar may be a conventional trocar. Such trocars are typically used for a camera. The delivery of the aerosolized medicament can occur at the start of the procedure and be delivered in bolus. At the start of the procedure, the peritoneum is being inflated by means of the flow of insufflator gas. This gas flow will help to entrain the aerosolized medicament to the pneumoperitoneum regions. The surgeon can temporarily remove the camera from the trocar port to facilitate insertion and positioning of the aerosolizing unit.

Abstract: A method for extracting data from lineless tables includes storing an image including a table in a memory. A processor operably coupled to the memory identifies a plurality of text-based characters in the image, and defines multiple bounding boxes based on the characters. Each of the bounding boxes is uniquely associated with at least one of the text-based characters. A graph including multiple nodes and multiple edges is generated based on the bounding boxes, using a graph construction algorithm. At least one of the edges is identified for removal from the graph, and removed from the graph to produce a reduced graph. The reduced graph can be sent to a neural network to predict row labels and column labels for the table.

Abstract: A method for aerosolising a liquid comprises the steps of: —providing an aperture plate having at least 100 outlet holes per mm; delivering liquid to the aperture plate; and vibrating the aperture plate to produce an aerosol. The viscosity of the liquid is in the range of from 1 to 15 cP and the surface tension of the liquid is in the range of from 72 to 0.5 mN/m. The output rate of the generated aerosol is greater than 0.01 mL/min.

Abstract: A supplemental oxygen delivery system is described in which Aerosol is delivered into a housing 10, 20, which sits in the circuit from the supplemental oxygen supply and optional humidifier. The supplemental oxygen passes through this chamber 10, 20 in which the aerosol is located, and collects the aerosol transporting it to a patient via a nasal cannula 3 or a face mask 4. An aerosol generator 9 is mounted to the housing 10, 20 and delivers aerosol into an oxygen stream 13 flowing between an inlet 14 and an outlet 15 of the housing 10. The housing 10 also has a removable plug 16 in the base 17 thereof for draining any liquid that accumulates in the housing 10. There is no disruption of oxygen delivery to patients using nasal cannulas who currently have to use a separate face-mask when receiving nebulized medication.

Abstract: A service to coordinate the care of patients who are on a REMS-required medication. The service implements a monitoring hub for coordinating the work between a clinician, pharmacy, and laboratory in the care of a patient. The patient has blood samples tested for safety monitoring. The monitoring hub performs the task of entering the test results . . . into the REMS database. The monitoring hub has qualified personnel who are enrolled in the REMS program as a prescriber designee for the clinician. The prescriber designee works with the clinician, pharmacy, or laboratory to ensure compliance with the REMS requirements. In addition to providing administrative support for REMS compliance, the service could be an integrated care management system that assists patients/families and providers with other aspects of their care and practice needs.

Abstract: A method for aerosolising a liquid comprises the steps of: providing an aperture plate having at least 100 outlet holes per mm2; delivering liquid to the aperture plate; and vibrating the aperture plate to produce an aerosol. The viscosity of the liquid is in the range of from 1 to15 cP and the surface tension of the liquid is in the range of from 72 to 0.5 mN/m. The output rate of the generated aerosol is greater than 0.01 mL/min.

Abstract: A method for extracting data from lineless tables includes storing an image including a table in a memory. A processor operably coupled to the memory identifies a plurality of text-based characters in the image, and defines multiple bounding boxes based on the characters. Each of the bounding boxes is uniquely associated with at least one of the text-based characters. A graph including multiple nodes and multiple edges is generated based on the bounding boxes, using a graph construction algorithm. At least one of the edges is identified for removal from the graph, and removed from the graph to produce a reduced graph. The reduced graph can be sent to a neural network to predict row labels and column labels for the table.

Abstract: A method for extracting data from lineless tables includes storing an image including a table in a memory. A processor operably coupled to the memory identifies a plurality of text-based characters in the image, and defines multiple bounding boxes based on the characters. Each of the bounding boxes is uniquely associated with at least one of the text-based characters. A graph including multiple nodes and multiple edges is generated based on the bounding boxes, using a graph construction algorithm. At least one of the edges is identified for removal from the graph, and removed from the graph to produce a reduced graph. The reduced graph can be sent to a neural network to predict row labels and column labels for the table.

Abstract: An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.

Abstract: An aerosol generator is positioned adjacent to a patient as an attachment to a trocar. The trocar has an entry port for insufflation gas. Aerosol generated by a vibrating element is entrained in the insufflation gas and the mixture is delivered through the trocar. The aerosol may contain a medicament. The trocar may be a conventional trocar. Such trocars are typically used for a camera. The delivery of the aerosolized medicament can occur at the start of the procedure and be delivered in bolus. At the start of the procedure, the peritoneum is being inflated by means of the flow of insufflator gas. This gas flow will help to entrain the aerosolized medicament to the pneumoperitoneum regions. The surgeon can temporarily remove the camera from the trocar port to facilitate insertion and positioning of the aerosolizing unit.

Abstract: An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.

Abstract: An aerosol generator is positioned adjacent to a patient as an attachment to a trocar. The trocar has an entry port for insufflation gas. Aerosol generated by a vibrating element is entrained in the insufflation gas and the mixture is delivered through the trocar. The aerosol may contain a medicament. The trocar may be a conventional trocar. Such trocars are typically used for a camera. The delivery of the aerosolized medicament can occur at the start of the procedure and be delivered in bolus. At the start of the procedure, the peritoneum is being inflated by means of the flow of insufflator gas. This gas flow will help to entrain the aerosolized medicament to the pneumoperitoneum regions. The surgeon can temporarily remove the camera from the trocar port to facilitate insertion and positioning of the aerosolizing unit.

Abstract: A supplemental oxygen delivery system is described in which Aerosol is delivered into a housing 10, 20, which sits in the circuit from the supplemental oxygen supply and optional humidifier. The supplemental oxygen passes through this chamber 10, 20 in which the aerosol is located, and collects the aerosol transporting it to a patient via a nasal cannula 3 or a face mask 4. An aerosol generator 9 is mounted to the housing 10, 20 and delivers aerosol into an oxygen stream 13 flowing between an inlet 14 and an outlet 15 of the housing 10. The housing 10 also has a removable plug 16 in the base 17 thereof for draining any liquid that accumulates in the housing 10. There is no disruption of oxygen delivery to patients using nasal cannulas who currently have to use a separate face-mask when receiving nebulized medication.

Abstract: A method for extracting data from lineless tables includes storing an image including a table in a memory. A processor operably coupled to the memory identifies a plurality of text-based characters in the image, and defines multiple bounding boxes based on the characters. Each of the bounding boxes is uniquely associated with at least one of the text-based characters. A graph including multiple nodes and multiple edges is generated based on the bounding boxes, using a graph construction algorithm. At least one of the edges is identified for removal from the graph, and removed from the graph to produce a reduced graph. The reduced graph can be sent to a neural network to predict row labels and column labels for the table.

Abstract: An object-extraction method includes generating multiple partition objects based on an electronic document, and receiving a first user selection of a data element via a user interface of a compute device. In response to the first user selection, and using a machine learning model, a first subset of partition objects from the multiple partition objects is detected and displayed via the user interface. A user interaction, via the user interface, with one of the partition objects is detected, and in response, a weight of the machine learning model is modified, to produce a modified machine learning model. A second user selection of the data element is received via the user interface, and in response and using the modified machine learning model, a second subset of partition objects from the multiple partition objects is detected and displayed via the user interface, the second subset different from the first subset.