Systems, devices, and methods for managing alerts associated with a target physiological event such as a worsening heart failure event are described. A system may detect one or more alert onsets using an onset threshold, and one or more corresponding alert terminations using a reset threshold. Alerts may be issued corresponding to the detected alert onsets and alert terminations. The system may compare the alerts to a specified alert characteristic, and iteratively adjust the onset or reset threshold until the alerts corresponding to the adjusted onset or reset threshold satisfy the specified alert characteristic. The adjusted onset and reset thresholds may be presented to a user or a process for detecting the target physiological event.

Methods, systems, and devices for patient monitoring are described. The method may include measuring a physiological parameter associated with a patient and detecting an alarm condition based on the measured physiological parameter. After the alarm condition is detected, the medical device may receive an indication of medical data associated with the patient from a source other than the medical device. The method may further include determining whether to alarm according to the alarm condition and based on the received indication of medical data.

A method for dynamically displaying a change of a parameter measured at an interval comprises: dynamically monitoring at least one type of hemodynamic parameters of a patient by means of a sensor on a monitor; obtaining a first monitoring value of the type of hemodynamic parameters monitored at a first monitoring time; displaying a first form corresponding to the first monitoring value in a simulated graph corresponding to each type of the hemodynamic parameters on a graphic display interface; obtaining a second monitoring value of the type of hemodynamic parameters monitored at a second monitoring time, and determining a second form of the corresponding simulated graph; and adjusting the simulated graph corresponding to each type of hemodynamic parameter from the first form to the second form on the graphic display interface. Also provided are a corresponding system and a dynamic monitor.

A physiological information processing apparatus includes a processor and a memory storing computer-readable instructions. When the instructions are executed by the processor, the physiological information processing apparatus obtains physiological information data indicative of physiological information of a subject, obtains a first parameter associated with a vital sign of the subject based on the physiological information data, displays a first trend graph showing temporal change in the first parameter in a first display area of a display screen of a display, obtains a second parameter associated with an autonomic nerve function of the subject based on the physiological information data, and displays a second trend graph showing temporal change in the second parameter in a second display area of the display screen. The first and second display areas are displayed next to each other such that time axes of the first and second display areas are synchronized with each other.

A method of detecting stroke in a patient receiving a pressure support therapy includes: receiving data from one or more sensors structured to gather data related to patient respiration while receiving pressure support therapy from an airflow generator via a patient circuit; analyzing the data from the one or more sensors while pressure support therapy is provided to the patient; determining that the analyzed data from the one or more sensors is indicative of a patient experiencing respiratory changes indicative of a stroke; and responsive to said determining, triggering at least one alarm.

The invention provides a physiological probe that comfortably attaches to the base of the patient's thumb, thereby freeing up their fingers for conventional activities in a hospital, such as reading and eating. The probe, which comprises a separate cradle module and sensor module, secures to the thumb and measures time-dependent signals corresponding to LEDs operating near 660 and 905 nm. The cradle module, which contains elements subject to wear, is preferably provided as a disposable unit.

Various embodiments concern video patient monitoring with detection zones. Various embodiments can comprise a camera, a user interface, and a computing system. The computing system can be configured to perform various steps based on reception of a frame from the camera, including: calculate a background luminance of the frame; monitor for a luminance change of a zone as compared to one or more previous frames, the luminance change indicative of patient motion in the zone; and compare the background luminance to an aggregate background luminance, the aggregate background luminance based on the plurality of frames. If the background luminance changed by more than a predetermined amount, then the aggregate background luminance can be set to the background luminance, luminance information of the previous frames can be disregarded, and motion detection can be disregarded.

The invention relates to methods and devices for providing parameters that indicate a higher likelihood of a postoperative delirium occurring. According to a first aspect of the invention, the following steps are provided: detecting (401) at least one EEG signal at the head of the patient; determining (402) the intraoperative alpha peak frequency of the EEG signal, wherein the alpha peak frequency in the power spectrum of the EEG signal is the frequency in the alpha band for which the power is greatest; checking (403) whether the determined intraoperative alpha peak frequency is significantly lower than a predefined reference value of the alpha peak frequency; and in the event of this, providing (404) a corresponding information in the form of a parameter that shows a higher likelihood of a postoperative delirium occurring. A second aspect of the invention evaluates the change in power of the alpha band after an anesthetic-inducing drug has been administered. A third aspect of the invention relates to determining the average amplitude of the direct current EEG signal and the development of same on initiation of anesthetic-induced loss of consciousness.

The embodiments herein provide a portable health care tele-monitoring device for intensive care unit of hospital, inside ambulance/vehicle or home. The device facilitates real time monitoring of patient's health. Patient information gathered using the device comprises personal details, health records and real time medical parameters of the patient. A blood parameter measurement device, external devices and vital sign devices are connected to the device using various ports and connectors provided in the device. The device facilitates transmission of patient information to a central location such as hospital, personal clinic of a doctor or health care centre and receiving medical prescription remotely over communication network from doctor/medical expert based on patient information captured by the device. Optionally physical copy of vital signs and blood parameters is printed using the device. A user interface is provided to enable patient/user for communicating with doctor/medical expert whenever needed.

A method of preventing or suppressing a false alarm during administration of food or medicine to a human or animal through a feeding tube having one or more sensors that generate a signal, comprises analyzing the signals to determine whether food or medicine is being administered and, if it is determined that food or medicine is present, preventing or suppressing an alarm. In a further step, the time and length of administration of food or medicine is recorded. When the feeding tube has at least two temperature sensors, differences in the temperatures recorded for the different temperature sensors indicate that food or medicine was administered. In a case where there is only one temperature sensor, the rate and extent of any temperature change of temperatures recorded from that temperature sensor are compared to an algorithm to determine whether feeding occurred. If the feeding tube has two or more electrodes that sense a change in impedance (galvanic or non-galvanic), that change indicates whether food or medicine is being administered. The signals are analyzed by a processor, monitor, or controller that generates an alarm signal.