Abstract: Systems and methods for monitoring physiological monitoring systems are described herein. A communication interface module can be configured to receive from a physiological monitoring system first data based on a snapshot taken of a status of the physiological monitoring system at a first time. A memory module can be configured to store the first data and a baseline associated with the physiological monitoring system. A processor module can be configured to compare the first data with the baseline and to generate a notification if the first data deviates from the baseline by a predetermined amount. A display module can be configured to display a physical location of a plurality of physiological monitoring systems and display the notification.

Abstract: A physiological patient monitoring system with a healthcare professional-facing interface is disclosed. The healthcare professional interface may only display by default the most critical non-confidential patient information. To access the full range of features in the system, clinicians can unlock the device. Once unlocked, clinicians can access all of a patient's treatment history, and all the data may be consolidated and presented intuitively.

Abstract: A physiological patient monitoring system with a patient-facing interface is disclosed. The patient interface can be used by the patient to communicate with hospital staff without actually requesting attendance and can request attendance for specific purposes. The patient interface may also track patient treatment and inform patients of the details of their treatments.

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: An acoustic sensor is configured to provide accurate and robust measurement of bodily sounds under a variety of conditions, such as in noisy environments or in situations in which stress, strain, or movement may be imparted onto a sensor with respect to a patient. Embodiments of the sensor provide a conformable electrical shielding, as well as improved acoustic and mechanical coupling between the sensor and the measurement site.

Abstract: A physiological sensor has light emitting sources, each activated by addressing at least one row and at least one column of an electrical grid. The light emitting sources are capable of transmitting light of multiple wavelengths and a detector is responsive to the transmitted light after attenuation by body tissue.

Abstract: The present disclosure describes the derivation and measurement of a fractional oxygen saturation measurement. In one embodiment, a system includes an optical sensor and a processor. The optical sensor can emit light of multiple wavelengths directed at a measurement site of tissue of a patient, detect the light after attenuation by the tissue, and produce a signal representative of the detected light after attenuation. The processor can receive the signal representative of the detected light after attenuation and determine, using the signal, a fractional oxygen saturation measurement based on two or more different measures of fractional oxygen saturation.

Abstract: A device for obtaining physiological information of a medical patient and wirelessly transmitting the obtained physiological information to a wireless receiver.

Abstract: A non-contact temperature measurement system for calculating estimated core body temperature is disclosed. The temperature measurement system can include a sensor that can detect the temperature of a patient and the temperature of ambient surrounding. The temperature of the patient and the ambient temperature can then be used to determine a core body temperature. The temperature measurement system includes an optical module having a light emitter and a light detector. The light emitter emits a beam of light towards the patient and the light detector detects a beam of light reflected by the patient. The reflected beam is analyzed to determine a distance between the temperature measurement system and the patient.

Abstract: A patient monitoring hub can communicate bidirectionally with external devices such as a board-in-cable or a dongle. Medical data can be communicated from the patient monitoring hub to the external devices to cause the external devices to initiate actions. For example, an external device can perform calculations based on data received from the patient monitoring hub, or take other actions (for example, creating a new patient profile, resetting baseline values for algorithms, calibrating algorithms, etc.). The external device can also communicate display characteristics associated with its data to the monitoring hub. The monitoring hub can calculate a set of options for combined layouts corresponding to different external devices or parameters. A display option may be selected for arranging a display screen estate on the monitoring hub.

Abstract: Systems and method for monitoring patient physiological data are presented herein. A gas analyzing measurement head can be provided to sample and analyze respiratory gases of a patient. In one embodiment, the gas analyzing measurement head can read information on an information element of an airway adapter or resuscitation bag. Such information can be used to generate instructions for manual ventilation using the gas analyzing measurement head, airway adapter, and resuscitation bag. Manual ventilation instructions can be displayed on the gas analyzing measurement head or can be transmitted for display on another device, such as a clinician's mobile computing device.

Abstract: Various sensors and methods of assembling sensors are described. In some embodiments, the sensor assembly includes a first end, a body portion, and a second end. The first end can include a neck portion and a connector portion and the second end can include a flap, a first component, a neck portion, and a second component. A method is also described for sensor folding. The method can include using a circuit with an attached emitter and a detector that is separated by a portion of the circuit. The method can also include folding the portion of the circuit such that a first fold is created through the emitter and folding the portion of the circuit such that a second fold is created such that the first fold and second fold form an angle.

Abstract: A total hemoglobin index system derives total hemoglobin (tHb) index value utilizing a depopulated emitter with an index set of LEDs. A patient fails a tHb index test if tHb measurements are trending down and/or tHb values fall below a predefined index threshold. If a patient fails the tHb index test, a high resolution sensor derives a specific tHb measurement utilizing a high resolution set of LEDs. The number of high resolution set LEDs is greater than the number of index set LEDs.

Abstract: A physiological patient monitor can include a front end conditioner that can receive analog sensor signal from a sensor responsive to a person's physiology. The patient monitor can further include an analog-to-digital converter that can convert analog sensor signal to a digital sensor information. The patient monitor can determine one or more patient specific physiological parameters. The patient monitor can further determine a physiological condition of a patient based on processing multiple physiological parameters. The patient monitor can generate a user interface that can included a visual representation of the patient's physiological condition.

Abstract: A physiological monitor is provided for determining a physiological parameter of a medical patient with a multi-stage sensor assembly. The monitor includes a signal processor configured to receive a signal indicative of a physiological parameter of a medical patient from a multi-stage sensor assembly. The multi-stage sensor assembly is configured to be attached to the physiological monitor and the medical patient. The monitor of certain embodiments also includes an information element query module configured to obtain calibration information from an information element provided in a plurality of stages of the multi-stage sensor assembly. In some embodiments, the signal processor is configured to determine the physiological parameter of the medical patient based upon said signal and said calibration information.

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.