A monitoring system and method tracks a patient's position over time and ensures that proper turning or other manipulation is done within the time prescribed. Preferably, the techniques herein continuously monitor patient position and alert medical or other personnel of the need for turning or other patient manipulation. The system may be implemented within a medical or other care facility, or within a patient's home.

A method of controlling a wearable device including a signal generator, two stimulation electrodes, and two sensing electrodes to monitor a level of edema of a subject, includes generating, by the generator, a signal that causes a current to flow between the stimulation electrodes and measuring an impedance between the sensing electrodes disposed on a skin of the subject at an interval of time during a testing period, thereby providing impedance measurements, validating each impedance measurement against a model set of impedance measurements, eliminating a measurement from the impedance measurements if the measurement fails the validating, thereby providing a validated sub-set of impedance measurements, converting each of the validated sub-set of impedance measurements to an edema index, thereby providing edema indices, averaging the edema indices and generating an average edema index for the testing period, and generating an alert depending on the average edema index.

The present technology relates to systems and/or methods for enabling a respiratory device to be configured when a clinician or healthcare professional is remote from the respiratory device. One form provides a method of configuring a respiratory device, the respiratory device comprising a processor configured to control operation of the respiratory device in accordance with a plurality of operating parameters. The method comprises determining a combination of settings for the device from an identifier sent to the device, the identifier corresponding to the combination of settings, and configuring the respiratory device accordingly. Another form provides a method of verifying the configuration of the respiratory device by outputting an identifier corresponding to the combination of settings for the device, and determining the settings from the identifier.

A system includes a sensor configured to generate data associated with movements of a resident for a period of time, a memory storing machine-readable instructions, and a control system arranged to provide control signals to one or more electronic devices. The control system also includes one or more processors configured to execute the machine-readable instructions to analyze the generated data associated with the movement of the resident, determine, based at least in part on the analysis, a likelihood for a fall event to occur for the resident within a predetermined amount of time, and responsive to the determination of the likelihood for the fall event satisfying a threshold, cause an operation of the one or more electronic devices to be modified.

Systems and methods for dynamically controlling His-bundle pacing (HBP) according to an indication of a rate-related or intermittent atrioventricular (AV) block in a subject are disclosed. An exemplary medical system includes an AV conduction monitor to detect an indication of either a presence or an absence of intermittent or rate-related AV conduction disturbance using physiologic information of the subject. In the event that an intermittent or rate-related AV conduction disturbance is present, a control circuit provides a control signal to an electrostimulation circuit to deliver HBP pulses. If there is no indication of intermittent or rate-related AV conduction disturbance, or a previously detected intermittent or rate-related AV conduction disturbance has been terminated, the control circuit withholds or discontinues delivery of the HBP pulses to promote intrinsic ventricular conduction and activation.

A person support apparatus, such as a bed, stretcher, cot, recliner, or the like, includes an exit detection system having a plurality of force sensors that support the weight of an occupant positioned on a support surface and obstruction detection system having one or more obstruction sensors. The force sensors are part of an exit detection system that issues an alarm when the occupant exits, or is about to exit, the person support apparatus. The bed exit system can react to detection of an obstacle. The distribution of weight applied to the force sensors is used to determine if the occupant is about to exit the person support apparatus. Compensation is made to the exit detection system for changes in the weight distribution that are not caused by movement of the occupant. Such changes may be due to not only movement of the person support apparatus or components thereof, but obstacles encountered by the person support apparatus or components thereof.

The present technology relates to the field of medical monitoring. Patient monitoring systems and associated devices, methods, and computer readable media are described. In some embodiments, a patient monitoring system includes one or more sensors configured to capture first data related to a patient and a monitoring device configured to receive the first data. In these and other embodiments, the patient monitoring system can include an image capture device configured to capture second data related to the patient. In these and still other embodiments, the one or more sensors can be configured to instruct the patient monitoring system to display the second data.

Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

Calibration of a sensing device is provided. The sensing device includes a sensor configured to sense a condition. In the sensing device, a voltage-dividing resistance and a reference voltage of an analog-to-digital converter are set to configure a quantization range of the analog-to-digital converter given characteristics of the sensor. During calibration, a binary search is performed between lower and upper limits of the voltage-dividing resistance, which is a variable resistance, to find the resistance of the voltage-dividing resistance at which the sensing device is operated.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.