A system for monitoring medical conditions including pressure ulcers, pressure-induced ischemia and related medical conditions comprises at least one sensor adapted to detect one or more patient characteristic including at least position, orientation, temperature, acceleration, moisture, resistance, stress, heart rate, respiration rate, and blood oxygenation, a host for processing the data received from the sensors together with historical patient data to develop an assessment of patient condition and suggested course of treatment, including either suspending or adjusting turn schedule based on various types of patient movement. Compliance with Head-of-Bed protocols can also be performed based on actual patient position instead of being inferred from bed elevation angle. The sensor can include bi-axial or tri-axial accelerometers, as well as resistive, inductive, capacitive, magnetic and other sensing devices, depending on whether the sensor is located on the patient or the support surface, and for what purpose.

The wearable article 200 comprises a sensing component. The electronics module 100 is removably coupled to the wearable article 200. The electronics module comprises a housing and a processor disposed within the housing 101. An interface element 121, 123 interfaces with the sensing component so as to receive signals from the sensing component and provide the same to the processor. A sensor 105 is disposed within the housing 101. The sensor 105 monitors a property of the environment external to the electronics module 100 through the housing 101. The housing 101 is constructed such that the sensor 105 has line of sight through the housing 101.

A prosthesis for monitoring a characteristic of flow includes a first tubular prosthesis having a lumen and a sensor for detecting the characteristic of flow through the lumen. The sensor may be covered with another tubular prosthesis or by a layer of material in order to insulate the sensor from the fluid flow. A pocket may be formed between the tubular prosthesis and the adjacent layer of material or prosthesis and the sensor may be disposed in the pocket.

A body fluid analyte detection device, includes: a transmitter, provided with at least one first clamping part; a bottom shell, provided with a second clamping part corresponding to the first clamping part, the transmitter being assembled on the bottom shell by mutual snap fitting of the first clamping part and the second clamping part, the bottom shell including a fixing part and a force application part, and the fixing part being fixed and applying a force to the force application part in a direction to disable the bottom shell, so that the first clamping part and the second clamping part are separated from each other, and then the bottom shell and the transmitter are separated; a battery, used for supplying power to the transmitter; a sensor, used for detecting body fluid analyte parameter information and electrically connected to the transmitter to transmit a parameter signal.

A system and method for non-invasively monitoring the hemodynamic state of a patient by determining on a beat-by-beat basis the ratio of lusitropic function to inotropic function as an index of myocardial well-being or pathology for use by clinicians in the hospital or by the patient at home. In one embodiment of the system a smartphone running an application program that is connected through the internet to the cloud processes electronic signals, first, from an electrocardiogram device monitoring electrical cardiac activity, and second, from a seismocardiogram device monitoring mechanical cardiac activity in order to determine such ratio as an instantaneous measurement of the hemodynamic state of the patient, including such states as sepsis, myocardial ischemia, and heart failure.

Described herein are systems, devices, and methods for energy-efficient operation of wireless devices. In some variations, a wireless monitor may comprise a sensor configured to measure a physiological parameter of a patient at a first resolution. A processor may be configured to generate physiological parameter data based on the measured physiological parameter of the patient at the first resolution. The sensor may be configured to measure the physiological parameter of the patient at a second resolution based at least in part on the physiological parameter data.

A method for continuous acoustic signature recognition and classification includes a step of obtaining an audio input signal from a resonant microphone array positioned proximate to a target, the audio input signal having a plurality of channels. The target produces characterizing audio signals depending on a state or condition of the target. A plurality of features is extracted from the audio input signal with a signal processor. The plurality of features is classified to determine the state of the target. An acoustic monitoring system implementing the method is also provided.

The invention concerns an Interoperability Environment comprising: a core software engine comprising means to collect and transfer electronic data from any number of sources including medical devices, clinical information systems, hospital information systems, a means to apply rules to improve compliance with hospital approved protocols, standards and guidances, a means to update all subsystems using any given parameter when the parameter is updated in the official recognized source of truth for that parameter, a means to populate the CIS with all required patient information, while at the same time maintaining all quality and process control data in a format supporting advanced analytics separate from the CIS data, a means to communicate notifications to any number of remote electronic devices without limitation of platform and comprising a hardware eco system comprising means to collect, translate, store and send electronic data to the core software engine for any electronic source via communication methods including but not limited to LAN, Serial, Wi Fi, Wireless, etc.

Embodiments described herein include a device and a non-transitory computer-readable medium. The device includes one or more processors, an analyte sensor, a communication module, and memories. The processors are configured to generate analyte data indicative of a monitored analyte level measured by the analyte sensor corresponding to a first time, generate analyte data indicative of the monitored analyte level measured by the analyte sensor corresponding to a second time, calculate a correction parameter based on the analyte data corresponding to the analyte data corresponding to the first time and analyte data corresponding to the second time, and perform a lag correction to obtain the monitored analyte level using at least the calculated correction parameter. The calculated correction parameter comprises a lag time determined from the analyte data. The performed lag correction comprises a linear correction model based on the calculated correction parameter.

Apparatus and methods are operative to probe the condition of a sensor either initially, at any point thereafter or continuously during a continuous sensor operation for measuring an analyte in a bodily fluid (such as performed by, e.g., a continuous glucose monitoring (CGM) sensor). Results of the probe may include calibration indices determined from electrical signals obtained during the probe. The calibration indices may indicate whether in-situ adjustment of the sensor's calibration should be performed either initially and/or at random check points. Probing potential modulation parameters also may be used during analyte calculations to reduce the effects of lot-to-lot sensitivity variations, sensitivity drift during monitoring, temperature, interferents, and/or the like. Other aspects are disclosed.