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.

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: A patient monitor for monitoring a patient's orientation to reduce a risk of the patient developing a pressure ulcer 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 non-consecutive duration said patient is in an associated available orientation. The non-consecutive duration can vary depending on whether a patient is in the available orientation. The patient monitor can include a structured display including an orientation trend and a patient representation illustrating a current orientation of the patient. The orientation trend can include a heat map that graphically illustrates said non-consecutive durations of the patient in the available orientations and/or an orientation graph that displays the patient' orientation history.

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: 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: 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: Systems and methods are provided for machine learning based monitoring. A current time is received. The system determines to begin a check-up process from the current time. In response to determining to begin the check-up process, a prompt to cause a person to perform a check-up activity is presented on a display. Image data of a recording of the check-up activity is received from the camera. The system invokes a screening machine learning model based on the image data. The screening machine learning model outputs a classification result. The system detects a potential screening issue based on the classification result. In response to detecting the potential screening issue, the system provides an alert.

Abstract: A method for producing an active carbon filter for a carbon canister includes forming a body having a honeycomb structure with a plurality of bleed passages from a polymer based material, and forming an adsorption layer along a surface of the body, where the adsorption layer is made of a carbon based material.

Abstract: A system for monitoring a patient's orientation to reduce a risk of the patient developing a pressure ulcer 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. The one or more hardware processors can modify a value of the plurality of timers based on an amount of time the patient is oriented in the plurality of orientations. The one or more hardware processors can generate an interactive graphical user interface on the display screen. The user interface can include a graphic for illustrating an orientation history of the patient. The one or more hardware processors can modify an appearance of the graphic based upon the values the plurality of timers.