A physiological monitoring device includes: a sensor interface, a display configured to display information related to the patient, and at least one processor. The at least one processor is configured to: operate the physiological monitoring device into a non-transport mode while docked to one of at least one monitor mount; display first location context information corresponding to a first patient care area on the display while the physiological monitoring device is operating in the non-transport mode in the first patient care area; detect an undocking event in response to undocking the physiological monitoring device from a first monitor mount of the at least one monitor mount, wherein the first monitor mount is located in the first patient care area; and in response to detecting the undocking event, operate the physiological monitoring device in a transport mode, including changing the first location context information to transport context information on the display.

A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.

A device and a method for identifying a motion pattern of a person that allow suitable feedback about an identified motion pattern to be produced in real time, to address the disadvantage that there is no provision for direct feedback to the person in the event of abnormal behavior being detected. This is achieved by virtue of a device for identifying a motion pattern of a person having at least one sensor for capturing motion parameters and at least one evaluation unit, which is couplable to the at least one sensor, for evaluating the motion parameters and for producing a motion pattern.

A shift compliance management system manages user compliance with recommendations for shift weight exercises to mitigate risk of a wheelchair user developing pressure ulcers. A sensing device includes an array of pressure sensors to sense the user's weight distribution and to detect timing and duration of weight shifts performed by the user. The sensing device communicates with a user application that assesses a compliance level of the sensed weight shifts with a set of weight shift recommendations for the patient. A compliance server collects patient data and may perform various analytics related to compliance. The analytical data may be presented to the wheelchair user and/or a caretaker to indicate compliance adherence.

A system for analysis of user gait and to provide correction in form of haptic and visual feedback. This system comprises a motion and force sensors and a haptic actuator embedded in the user shoe insoles in communication with a smart-phone based analysis application, configured to calculate motion and orientation of the user feet in relation to the value, location and distribution of ground reaction forces measured by sensors located in the shoe insoles and after analysis of said forces and motion, to provide haptic feedback to the user foot instructing about the location (and timing) of pressure the user must apply to achieve an optimal gait.

A sensor interface is configured to receive a sensor signal. A transmitter generates a transmit signal. A receiver receives the signal corresponding to the transmit signal. Further, a monitor interface is configured to communicate a waveform to the monitor so that measurements derived by the monitor from the waveform are generally equivalent to measurements derivable from the sensor signal.

Systems and methods for establishing and managing a patient-device network on or about a body of a patient are disclosed. One or more of the devices implanted into, affixed to, and/or carried by a patient may be configured to establish and manage a communication network. For example, one or more of the implants may include networking mechanisms that autonomously connect to each other, thereby establishing and managing a mesh network or an ad-hoc network on or about a portion of the patient body. The networked devices can communicate with each other and/or to other external devices.

Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.

The present disclosure provides alert implants that comprise a medical device and an implantable reporting processor (IRP), where one example of such a medical device includes a component for a total knee arthroplasty (TKA) such as a tibial extension, a femoral component for hip replacements, a breast implant, a distal rod for arm or leg breakage repair, a scoliosis rod, a dynamic hip screw, a spinal interbody spacer, and tooling and methods that may be used to form the alert implant, and uses of such alert implants in the health maintenance of patients who receive the implant.

A distributed patient monitoring system comprises at least one standalone portable ultrasound imaging unit configured to be fixed to a stable position against the skin on a patient's body and capable of prolonged ultrasound data acquisition, including an ultrasound imaging array, transmit-receive circuitry, a beamformer, backend signal and image processing subsystem, power and communication subsystems, and a monitoring workstation connected to each standalone portable ultrasound imaging unit configured to request and receive ultrasound imaging information from each standalone portable ultrasound imaging unit, and configured to analyze and display acquired ultrasound information.