Abstract: A patient monitor can diagnose whether its speaker is blocked, malfunctioning, or at a volume that is too low. For example, the monitor can include a processor that can diagnose the speaker by recording a microphone input signal. The processor can compare the microphone input signal to an expected alarm signal that should be output by the speaker. If the two do not match or reasonably correspond to one another, then the processor may increase the volume of the alarm to determine whether doing so can overcome an obstruction, noise, or potential malfunction. The microphone can again detect the speaker output, and the processor can again make another comparison or analysis of the input with the speaker output. If the speaker output as detected via the microphone is still insufficiently loud, then the patient monitor may output an indication that the speaker has a problem.

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: A patient movement detector can receive inputs from position sensors, a thermal imaging camera, a video camera, and/or triangulation data. Based on one or more of these inputs, the patient movement detector can perform one or more of the following: fall prevention detection, bedsore prevention analysis, patient location detection, and patient walk test scoring. The patient movement detector can, for example, output a fall warning alarm, a bedsore warning alarm, patient location information, and walk test scores.

Abstract: A sensor system for monitoring patients is provided. The sensor system includes a wireless charging dock, one or more patient sensors, and a processing module. The patient sensor is configured to collect patient physiological data and send the data to the processing module. The processing module wirelessly transmits the patient physiological data to a patient monitor system. The wireless charging dock is wirelessly and removably coupled to the processing module to wirelessly provide power for the processing module. The wireless charging dock is magnetically coupled to the processing module.

Abstract: The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

Abstract: An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Abstract: A physiological monitor gauge panel defines parameters to display on a physiological monitor via corresponding gauges. Gauge faces depict a range of parameter values for each of the parameters. An indicator designates a position on each gauge face corresponding to the current parameter value within the range of parameter values. The indicated position on each of the gauges is at the mid-point of each of the gauge faces when each of the parameters is at a nominal value.

Abstract: A multi-parameter patient monitoring device rack can dock a plurality of patient monitor modules and can communicate with a separate display unit. A signal processing unit can be incorporated into the device rack. A graphics processing unit can be attached to the display unit. The device rack and the graphic display unit can have improved heat dissipation and drip-proof features. The multi-parameter patient monitoring device rack can provide interchangeability and versatility to a multi-parameter patient monitoring system by allowing use of different display units and monitoring of different combinations of parameters. A dual-use patient monitor module can have its own display unit configured for displaying one or more parameters when used as a stand-alone device, and can be docked into the device rack when a handle on the module is folded down.

Abstract: A medical system is disclosed. The medical system can include a patient monitoring device, a patient information system, and a mobile application. The patient monitoring device can be coupled to a patient to monitor one or more physiological parameters. The patient information system can allow the patient to communicate with a clinician. The patient information system can also provide information regarding schedules, medications, and procedures to the patient. The mobile application can be communicatively coupled with the patient monitoring device and the patient information system. The mobile application can allow a clinician to receive, view, and send information to or from the patient monitoring device and the patient information system.

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: 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 alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio/video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and/or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

Abstract: Systems and method for monitoring patient physiological data are presented herein. In one embodiment, a physiological sensor and a mobile computing device can be connected via a cable or cables, and a processing board can be connected between the sensor and the mobile computing device to conduct advanced signal processing on the data received from the sensor before the data is transmitted for display on the mobile computing device.

Abstract: A wearable device including at least one sensor configured to sense a physiological parameter of a user. The wearable device including a base housing and a removable housing attachable to the base housing. The base housing and the removable housing portions each including a battery and an electronic subsystem in communication with each other. The battery of the removable housing portion charges the battery of the base housing portion when the removable housing portion is attached to the base housing portion. A second embodiment includes two or more fitness trackers each having an enclosure. The enclosures of the two or more fitness trackers having complimentary shapes that form a unified enclosure when the enclosures are placed adjacently. In a third embodiment, a wearable device includes a first screen display and a second screen display. The second screen display is transparent in at least one operational mode of the wearable device.

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: A multi-parameter patient monitoring device rack can dock a plurality of patient monitor modules and can communicate with a separate display unit. A signal processing unit can be incorporated into the device rack. A graphics processing unit can be attached to the display unit. The device rack and the graphic display unit can have improved heat dissipation and drip-proof features. The multi-parameter patient monitoring device rack can provide interchangeability and versatility to a multi-parameter patient monitoring system by allowing use of different display units and monitoring of different combinations of parameters. A dual-use patient monitor module can have its own display unit configured for displaying one or more parameters when used as a stand-alone device, and can be docked into the device rack when a handle on the module is folded down.

Abstract: A mobile device may comprise: a power source, one or more sensors, a communication device, and an actuator. The power source can be configured to provide power to one or more components of the mobile device. The one or more sensors can be configured to generate sensor data. The communication device can be removably coupled to the power source to receive power therefrom and can be further configured to communicate with one or more computing devices remote to the mobile device. The actuator can be configured to transition between at least a first state and a second state to cause the communication device to electrically disconnect from the power source to terminate communication of the communication device with the one or more computing devices remote to the mobile device. The one or more sensors can be configured to generate sensor data when the actuator is in the first state or the second state.

Abstract: A localized sound projection system can coordinate the sounds of speakers to simulate the placement of an auditory cue in a 3D space. The system can include a plurality of speakers configured to output auditory signals and a sound localization controller configured to control the plurality of speakers to coordinate the auditory signals to simulate an origination location of a patient alarm. The sound localization controller can determine adjusted auditory signals and control a plurality of speakers to output the plurality of adjusted auditory signals. A method for dynamically controlling speaker settings in a medical environment can include determining volume settings corresponding to a speaker, monitoring a level of ambient noise corresponding to a room of a patient, controlling the volume settings of the speaker to reduce or increase a sound level output of a speaker. A patient monitoring system can be configured to physically manipulate medical devices in response to audible commands.

Abstract: Various chairs are described herein for monitoring physiological parameters of a subject. In some implementations, a physiological monitoring chair includes a base portion configured to support a weight of the patient, a back portion configured to at least partially support a back of the patient, a leg portion configured to be positioned adjacent legs of the patient, a vibration motor, at least one physiological measurement device usable for determining said one or more physiological parameters of the patient, and a controller. The controller can be configured to instruct the vibration motor to cause vibration of at least a portion of the physiological monitoring chair based on said determined one or more physiological parameters of the patient. In some implementations, one or both of the back and leg portions are configured to be moved between an upright position and a reclined position.