A patient support system comprises a patient support apparatus for patients. The patient support apparatus also comprises an actuatable device that perform one or more predetermined functions on the patient support apparatus. A controller is provided to control the rate of operation of the actuatable devices based on a user input or a patient condition.

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.

There is provided a sensor for an electroencephalographic (EEC) device for measuring electrical signals generated by the neuronal activity of a subject. The sensor has at least one blade-like contact surface and the contact surface has a curved profile adapted for user comfort and electrical contact.

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.

A system-on-chip contactless physiological sensor (10) is provided which comprises a capacitive-sensor electrode (14) having a first capacitance (C1) and an amplifier device (18) connected to the capacitive-sensor electrode (14), the capacitive-sensor electrode (14) and amplifier device (18) at least in part forming an amplifier circuit for the physiological sensor (10). An artefact-reducing capacitor (20) is then connected in series between the capacitive-sensor electrode (14) and an input of the amplifier device (18), the artefact-reducing capacitor (20) having a second capacitance (C2) which is less than the first capacitance (C1). In this sensor (10), there is no impedance boosting input between the capacitive-sensor electrode (14) and the input of the amplifier device (18).

Methods and architecture for using sensor data to offer content, such as purchase or viewing suggestions, to a viewer, are disclosed. Wearable or other external sensor devices may monitor a viewer while the viewer consumes a first media element. The sensor data may then be used to determine an emotional response of the viewer to the media element or to entities found within that element, such as actors, scenes, brands, or objects. Emotional response data for a user may be stored, and may be used either immediately or at a later time to deliver content or make content or purchase suggestions to the viewer.

Disclosed is a portable device for collecting and processing continuous monitoring data. The device has a data interface configured to receive a stream of continuous monitoring data from a body-worn sensor, the continuous monitoring data being indicative of an analyte in a bodily fluid. A control is connectable to the data interface. The control controls a first mode of operation during which configuration parameters are established in response to receiving a start signal indicating a sensor session start of the body-worn sensor. The control also controls a second mode of operation during which the continuous monitoring data is collected and processed and also controls the switching from the first mode to the second mode. The control blocks further starting of the first mode for a remaining sensor session time after the switching to the second mode of operation. Also disclosed are a related medical system, method and computer program product.

An electrocardiography monitor is provided. A sealed housing includes one end wider than an opposite end of the sealed housing. Electronic circuitry is provided within the sealed housing. The electronic circuitry includes an electrographic front end circuit to sense electrocardiographic signals and a micro-controller interfaced to the electrocardiographic front end circuit to sample the electrocardiographic signals. A buzzer within the housing outputs feedback to a wearer of the sealed housing.

Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

Methods, systems and wearable devices for real-time mental stress assessment are provided. The methods and systems employ deep learning using a Gated Recurrent Unit (GRU) gating mechanism in a recurrent neural network with a sliding window approach applied to raw EEG data.