Abstract: Physiological monitoring systems, apparatuses and methods are disclosed. In an embodiment, a system includes an umbilical cord clamp having a sensor and a base station. The clamp is moveable between an open position and a clamped position in which the sensor contacts the umbilical cord to sense a physiological parameter of a neonate. The base station is operable to transmit an interrogation signal wirelessly to the sensor, and in response to the interrogation signal, receive a response signal wirelessly that is indicative of the sensed physiological parameter.

Abstract: Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.

Abstract: Architectures for production of nitric oxide (NO) include systems and methods for generating NO having one or more plasma chambers configured to ionize a reactant gas to generate a plasma for producing a product gas containing NO using a flow of the reactant gas through one or more plasma chambers; a controller configured to regulate the amount of nitric oxide in the product gas using one or more parameters as an input to the controller, one or more parameters including information from a plurality of sensors configured to collect information relating to at least one of the reactant gas, the product gas, and a medical gas into which product gas flows; and a flow divider configured to divide a product gas flow from the plasma chamber into a first product gas flow to provide a variable flow to a patient inspiratory flow and a second product gas flow.

Abstract: Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.

Abstract: Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.

Abstract: Systems and methods are provided for portable and compact nitric oxide (NO) generation that can be embedded into other therapeutic devices or used alone. In some embodiments, an ambulatory NO generation system can be comprised of a controller and disposable cartridge. The cartridge can contain filters and scavengers for preparing the gas used for NO generation and for scrubbing output gases prior to patient inhalation. The system can utilize an oxygen concentrator to increase nitric oxide production and compliment oxygen generator activity as an independent device. The system can also include a high voltage electrode assembly that is easily assembled and installed. Various nitric oxide delivery methods are provided, including the use of a nasal cannula.

Abstract: Systems and methods are provided for portable and compact nitric oxide (NO) generation that can be embedded into other therapeutic devices or used alone. In some embodiments, an ambulatory NO generation system can be comprised of a controller and disposable cartridge. The cartridge can contain filters and scavengers for preparing the gas used for NO generation and for scrubbing output gases prior to patient inhalation. The system can utilize an oxygen concentrator to increase nitric oxide production and compliment oxygen generator activity as an independent device. The system can also include a high voltage electrode assembly that is easily assembled and installed. Various nitric oxide delivery methods are provided, including the use of a nasal cannula.

Abstract: A system and method for monitoring resuscitation and respiratory mechanics of a patient is provided. A pressure sensor detects air pressure within an air-flow path of a resuscitator and generates a first detection signal in response thereto. A flow-rate sensor detects the flow-rate within the air-flow path and generates a second detection signal In response thereto. A processor receives and processes the first and second detection signals using an algorithm to identify a ventilation rate, a lung pressure, and an air volume corresponding to the respiratory air. A report is generated of real-time feedback about respiration of the patient that includes the ventilation rate, lung pressure, and air volume.

Abstract: Physiological monitoring systems, apparatuses and methods are disclosed. In an embodiment, a system includes an umbilical cord clamp having a sensor and a base station. The clamp is moveable between an open position and a clamped position in which the sensor contacts the umbilical cord to sense a physiological parameter of a neonate. The base station is operable to transmit an interrogation signal wirelessly to the sensor, and in response to the interrogation signal, receive a response signal wirelessly that is indicative of the sensed physiological parameter.

Abstract: Architectures for production of nitric oxide (NO) include systems and methods for generating NO having one or more plasma chambers configured to ionize a reactant gas to generate a plasma for producing a product gas containing NO using a flow of the reactant gas through one or more plasma chambers; a controller configured to regulate the amount of nitric oxide in the product gas using one or more parameters as an input to the controller, one or more parameters including information from a plurality of sensors configured to collect information relating to at least one of the reactant gas, the product gas, and a medical gas into which product gas flows; and a flow divider configured to divide a product gas flow from the plasma chamber into a first product gas flow to provide a variable flow to a patient inspiratory flow and a second product gas flow.

Abstract: A system and method for monitoring resuscitation and respiratory mechanics of a patient is provided. A pressure sensor detects air pressure within an air-flow path of a resuscitator and generates a first detection signal in response thereto. A flow-rate sensor detects the flow-rate within the air-flow path and generates a second detection signal In response thereto. A processor receives and processes the first and second detection signals using an algorithm to identify a ventilation rate, a lung pressure, and an air volume corresponding to the respiratory air. A report is generated of real-time feedback about respiration of the patient that includes the ventilation rate, lung pressure, and air volume.