Abstract: A system for monitoring a patient in a bed can include one or more hardware processors that can receive sensor data from a sensor attached to the patient. The one or more hardware processors can determine, based on the sensor data, an orientation of an upper portion of the patient's body relative to a plane that extends along a portion of the bed that is adjacent to a lower portion of the patient's body.

Abstract: The present disclosure relates to physiological monitoring to determine the depth of consciousness of a patient under sedation. The monitor includes an EEG sensor and a depth of consciousness monitor. The depth of consciousness monitor can utilize treatment data, such as patient data and/or drug profile information with an EEG signal to determine whether the patient is adequately sedated.

Abstract: A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that can be affixed to the patient's back that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

Abstract: A noninvasive blood pressure monitor. The noninvasive blood pressure monitor may include an inflatable cuff, a pressure transducer, one or more air pumps, and a processor. The processor may control the air pump(s) so as to initiate inflation of the cuff. The processor may also identify an oscillometric signal in an output of the pressure transducer, and may determine an envelope of the oscillometric signal. The processor may also determine one or more characteristics of the envelope of the oscillometric signal, and may control the air pump(s) so as to stop inflation of the cuff based on the one or more characteristics of the envelope of the oscillometric signal.

Abstract: A noninvasive blood pressure monitor. The noninvasive blood pressure monitor may include an inflatable cuff, a pressure transducer, one or more air pumps, and a processor. The processor may control the air pump(s) so as to initiate inflation of the cuff. The processor may also identify an oscillometric signal in an output of the pressure transducer, and may determine an envelope of the oscillometric signal. The processor may also determine one or more characteristics of the envelope of the oscillometric signal, and may control the air pump(s) so as to stop inflation of the cuff based on the one or more characteristics of the envelope of the oscillometric signal.

Abstract: A method of producing hydrogen from ammonia includes exposing ammonia to a rare-earth/NiO/Al2O3 nanocomposite material. The rare-earth/NiO/Al2O3 nanocomposite material catalyzes the decomposition of ammonia into hydrogen. The rare-earth/NiO/Al2O3nanocomposite material is in the form of rare-earth doped NiO nanoparticles distributed on a Al2O3 matrix. The rare-earth doped NiO nanoparticles include a rare-earth dopant selected from the group consisting of La, Ce, Nd, Sm and combinations thereof, at a concentration of 1 to 20 wt. % based on the total weight of the rare-earth/NiO/Al2O3 nanocomposite material. The rare-earth doped NiO nanoparticles are spherical with an average diameter in a range from 1 to 200 nm. The rare-earth/NiO/Al2O3 nanocomposite material achieves a 90% or greater conversion of ammonia to hydrogen, based on the total amount of ammonia, at a temperature less than or equal to 550° C., when used to catalyze the decomposition of ammonia.

Abstract: Various patient monitoring systems, devices, and methods are disclosed for monitoring physiological parameters of a patient. A noninvasive blood pressure monitor can include an inflatable cuff, a pressure transducer, an air pump, and a plurality of air paths connecting the inflatable cuff, the pressure transducer, and the air pump. The monitor can also include an acoustic filter provided along at least one of the air paths. In some cases, the monitor can include first and second air pumps, as well as a processor to independently control operating characteristics of the air pumps. The processor can also control the air pumps so as to provide a first inflation rate for the inflatable cuff during a non-measurement portion of an inflation phase and a second, higher inflation rate during a measurement portion of the inflation phase.

Abstract: The present disclosure relates to physiological monitoring to determine the depth of consciousness of a patient under sedation. The monitor includes an EEG sensor and a depth of consciousness monitor. The depth of consciousness monitor can utilize treatment data, such as patient data and/or drug profile information with an EEG signal to determine whether the patient is adequately sedated.

Abstract: Systems and methods are provided for machine learning based monitoring. Image data from a camera is received. On the hardware accelerator, a person detection model based on the image data is invoked. The person detection model outputs first classification result. Based on the first classification result, a person is detected. Second image data is received from the camera. In response to detecting the person, a fall detection model is invoked on the hardware accelerator based on the second image data. The fall detection model outputs a second classification result. A potential fall based on the second classification result is detected. An alert is provided in response to detecting the potential fall.

Abstract: A monitoring system can be configured to monitor activities or actions occurring in clinical settings, such as hospitals. The monitoring system can improve patient safety. The system can use visual and/or other tracking methods. The system can detect and/or identify people in a clinical setting. The system can also track activities of the people, for example, to improve adherence to hygiene protocols.

Abstract: A monitoring system can be configured to monitor activities or actions occurring in clinical settings, such as hospitals. The monitoring system can improve patient safety. The system can use visual and/or other tracking methods. The system can detect and/or identify people in a clinical setting. The system can also track activities of the people, for example, to improve adherence to hygiene protocols.

Abstract: Examples include a computing device that receives sensor data from at least one of a photoplethysmographic (PPG) sensor, an electrocardiogram (ECG) sensor, a ballistocardiogram (BCG) sensor, or a microphone. The computing device may input the received sensor data into at least one computational model. The computing device receives an output of the at least one computational model indicative of a blood pressure measurement of a subject. The computing device performs at least one action based on the indicated blood pressure measurement.

Abstract: Systems and methods are provided for machine learning based monitoring. Image data from a camera is received. On the hardware accelerator, a person detection model based on the image data is invoked. The person detection model outputs first classification result. Based on the first classification result, a person is detected. Second image data is received from the camera. In response to detecting the person, a fall detection model is invoked on the hardware accelerator based on the second image data. The fall detection model outputs a second classification result. A potential fall based on the second classification result is detected. An alert is provided in response to detecting the potential fall.

Abstract: Various noninvasive physiological sensors are described herein. Some implementations of the sensors described herein include multiple emitters and/or detectors positioned at various portions of a measurement site and configured to operate in either or both of transmittance and reflectance modes. In one implementation, a noninvasive physiological sensor includes a body portion configured to secure to a finger of a subject, an emitter operably positioned by the body portion at a first side of the finger and configured to emit light of one or more wavelengths into tissue of the finger, a first detector operably positioned by the body portion at a second side of the finger opposite the first side, and a second detector operably positioned by the body portion at a third side of the finger and offset approximately 90 degrees from the emitter with respect to an axis extending through at least a portion of the body portion.

Abstract: A monitoring system can be configured to monitor activities or actions occurring in clinical settings, such as hospitals. The monitoring system can improve patient safety. The system can use visual and/or other tracking methods. The system can detect and/or identify people in a clinical setting. The system can also track activities of the people, for example, to improve adherence to hygiene protocols.

Abstract: An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information indicates a non-distress stats and notifies a second set of contact when the opioid monitoring information indicates an overdose event. The notification can be a phone call or text message to a specified person, emergency personnel, or first responders, and can include the location of the smart mobile device. The smart mobile device can also include the location of the nearest treatment center having emergency medication used in treating opioid overdose, such as naloxone.

Abstract: Various patient monitoring systems, devices, and methods are disclosed for monitoring physiological parameters of a patient. A noninvasive blood pressure monitor can include an inflatable cuff, a pressure transducer, an air pump, and a plurality of air paths connecting the inflatable cuff, the pressure transducer, and the air pump. The monitor can also include an acoustic filter provided along at least one of the air paths. In some cases, the monitor can include first and second air pumps, as well as a processor to independently control operating characteristics of the air pumps. The processor can also control the air pumps so as to provide a first inflation rate for the inflatable cuff during a non-measurement portion of an inflation phase and a second, higher inflation rate during a measurement portion of the inflation phase.

Abstract: A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

Abstract: A patient monitoring system to help manage a patient that is at risk of falling is disclosed. The system includes a patient-worn wireless sensor that senses the patient's motion and wirelessly transmits information indicative of the sensed motion to a patient monitor. The patient monitor receives, stores, and processes the transmitted information to determine whether the patient has fallen or is about to fall. Upon such detection, the system can notify the patient's caretakers that the patient has fallen or is about to fall and therefore, is in need of immediate attention.

Abstract: A patient monitor for monitoring a patient's orientation to minimize health risks can include one or more hardware processors that can receive and process data from a sensor to determine the patient's orientation. The one or more hardware processors can maintain a plurality of timers associated with available orientations of the patient. Each of the plurality of timers can account for a duration of time said patient is in an associated available orientation. The patient monitor can include a structured display illustrating a current orientation of the patient, a heat map that graphically illustrates said durations of time and/or an orientation graph that displays the patient' orientation history.