The present disclosure relates to drug administration. In an exemplary embodiment, a system can include a drug administration device configured to dispense a drug to a patient, a monitoring device configured to log a delivery event of drug delivery from the drug administration device into the patient, and a sensor configured to sense a patient parameter following delivery of the drug into the patient. In another exemplary embodiment, a drug administration device can include a drug holder configured to hold a drug, a dispensing mechanism configured to dispense the drug, and a sensor configured to sense a patient parameter, and the drug administration device can be configured to locally activate the drug at a target location in the patient. In another exemplary embodiment, methods, devices, and systems are provided to assess when operation of a drug dispensing mechanism is complete and to confirm whether drug administration was successful.

A controllable window of time is provided for waking a user from sleep. A system uses this window to variably control the acquisition of physiological data from a device such as a wearable monitor, such as by initiating data acquisition at the beginning of the window, and the acquired data can be used in turn to control when, during the window, an active alarm to the user might be provided. Using this technique, data acquisition from a physiological monitoring device or the like can be increased around the onset of the window to more accurately calculate a suitable waking time for the user within the window. This advantageously avoids the need for continuous, high-frequency data communications during long intervals of sleep, and focuses data transmission, related communications, and computing resources on those intervals when up-to-date data might be most useful for optimizing the user's wake up experience.

The present disclosure pertains to a biofeedback driven, MSSD wearable electronic device for the complementary intervention of presented symptoms of stress.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.

A system and method for monitoring and auditing the patient's health care compliances in order to detect bedside patient's information such as bed sores, oral health care, insertion of invasive devices, patient positions etc. The system employs visual sensors such as lidars, IR cameras etc. for observing the patients. The system also uses machine learning algorithms that use the bedside patient information into pre-trained models so as to monitor, trace and diagnose patient histories by the caretakers.

Systems and methods for partial aortic occlusion are provided. The system may include a catheter having an expandable aortic blood flow regulation device disposed on the distal end of the catheter for placement within an aorta of a patient, and a catheter controller unit that causes the device to expand and contract to restrict blood flow through the aorta. The system also may include sensors for measuring blood pressure distal and proximal to the expandable device. The system further may include non-transitory computer readable media having instructions stored thereon, wherein the instructions, when executed by a processor coupled to the sensors, cause the processor to estimate aortic blood flow based on the measured blood pressures and corresponding waveforms, compare the estimated aortic blood flow with a target aortic blood flow range, generate an alert if the estimated aortic blood flow falls outside the target aortic blood flow range, and cause the catheter controller unit to adjust expansion and contraction of the expandable device to adjust an amount of blood flow through the aorta if the estimated aortic blood flow falls outside the target aortic blood flow range.

Embodiments of apparatuses and methods for determining an emplacement of sensors in a wound dressing are disclosed. In some embodiments, a wound dressing includes a plurality of sensors configured to measure wound or patient characteristics. One or more processors are configured to receive wound or patient characteristics data as well as emplacement data. The received data can be used to determine an emplacement of the plurality of sensors, the wound dressing, or a wound. The sensors can include a set of nanosensors. The wound dressing can include pH sensitive ink which can be utilized for determining a placement of the wound dressing and determining a pH associated with the wound. The wound dressing can be used in a negative pressure wound therapy system.

A patient treatment system includes a ventilation bag, and a monitoring device which is configured so as to be connectable to the ventilation bag. The monitoring device measures the pulse rate derived from the heart rate of a neonate, from signals of ECG electrodes which are connected to the monitoring device. In a case where an abnormality of measurement information of the pulse rate is detected, the monitoring device notifies of first information prompting ventilation by the ventilation bag.

The present disclosure, in one embodiment, is a computer-implemented method for the detection of and intervention in traumatic nightmares. In one embodiment, a user wears a watch wirelessly connected to a phone. The watch may include an accelerometer, gyroscope, and heartrate monitor. The application may monitor these sensors and intervene with haptic feedback if the application detects a traumatic nightmare. In one embodiment, the application may include a monitoring module that collects data from the watch's accelerometer, gyroscope, and heartrate sensors. The application may then estimate and record stress levels based on these sensors. The application may also include an intervention module that responds to high stress levels with haptic feedback that increases in intensity of previous efforts to intervene were unsuccessful.