According to an aspect, an improved modular wearable medical device for monitoring a patient's ECG signals and providing therapeutic shocks in the event of a cardiac arrhythmia is provided. The device includes a garment, a plurality of ECG sensing electrodes that are permanently coupled at first predetermined locations on the garment, at least one pocket or receptacle disposed on the garment and configured to removably secure a module with device electronics within a housing to the garment, a plurality of wires or cables permanently integrated into the garment and operably coupling the plurality of permanently coupled ECG sensing electrodes with the sensor interface module, a plurality of therapy electrodes removably coupled to second predetermined locations on the garment, gel deployment circuitry, one or more capacitors, and a therapy control module configured to control the provision of the therapeutic shocks.

According to an aspect, an improved modular wearable medical device for monitoring a patient's ECG signals and providing therapeutic shocks in the event of a cardiac arrhythmia is provided. The device includes a garment, a plurality of ECG sensing electrodes that are permanently coupled at first predetermined locations on the garment, at least one pocket or receptacle disposed on the garment and configured to removably secure a module with device electronics within a housing to the garment, a plurality of wires or cables permanently integrated into the garment and operably coupling the plurality of permanently coupled ECG sensing electrodes with the sensor interface module, a plurality of therapy electrodes removably coupled to second predetermined locations on the garment, gel deployment circuitry, one or more capacitors, and a therapy control module configured to control the provision of the therapeutic shocks.

A system for measuring physiological parameters, including: a portable measurement system, operable to acquire physiological measurement from an examined body location; an external camera operable to capture visible light, oriented toward the examined body location; a synchronization module, operable to receive a triggering indication, and in response to the triggering indication to associate to the physiological measurement a positioning image captured by the camera, the positioning image including at least a part of the portable measurement system adjacent to the examined body location; and a communication module operable to obtain the physiological measurement and the positioning image, and to transmit to a remote system: a physiological measurement record based on the physiological measurement, an orientation image based on the positioning image, and including at least a part of the portable measurement system adjacent to the examined body location, and association data associating the orientation image and the physiological measurement record.

A method of compliance-based cleaning includes receiving a piece of equipment to be cleaned in a compliance-based cleaning device, performing a cleaning process on the piece of equipment upon receiving the piece of equipment in the compliance-based cleaning device, monitoring the cleaning process performed on the piece of equipment, and transmitting compliance data from the compliance-based cleaning device to a compliance database in response to performing the cleaning process on the piece of equipment. The compliance data includes identifying information obtained during the cleaning process. Cleaning records stored in the compliance database indicate which one of a plurality of medical practitioners cleaned which one of a plurality of pieces of equipment.

A method of compliance-based cleaning includes receiving a piece of equipment to be cleaned in a compliance-based cleaning device, performing a cleaning process on the piece of equipment upon receiving the piece of equipment in the compliance-based cleaning device, monitoring the cleaning process performed on the piece of equipment, and transmitting compliance data from the compliance-based cleaning device to a compliance database in response to performing the cleaning process on the piece of equipment. The compliance data includes identifying information obtained during the cleaning process. Cleaning records stored in the compliance database indicate which one of a plurality of medical practitioners cleaned which one of a plurality of pieces of equipment.

A wearable system includes a support structure with optionally one or more electrodes in an unbiased state. Different sensor modules may monitor, for the long-term, different patient parameters such as the patient's motion, a physiological parameter, a patient sound etc., other than the patient's ECG. The sensor modules can be worn by the patient concurrently, or only one at a time as convenient, and may provide respective sensor signals. The system may determine from one or more of the available received signals whether a certain threshold has been reached, such as when the patient is having an actionable episode. If so, at least one electrode may become mechanically biased against the patient's body, for making good electrical contact. Then, an ECG reading may be taken and/or therapy may be administered.

A medical device for providing therapy to a patient comprises at least one processor configured to receive a first patient biometric signature from at least one first sensor interface. The at least one processor is further configured to record the first patient biometric signature in a patient encounter record in at least one memory. The at least one processor is further configured to receive patient information from an external source, the patient information comprising a second patient biometric signature. The at least one processor is further configured to make a determination that the second patient biometric signature corresponds to the first patient biometric signature. The at least one processor is further configured to, in response to making the determination, merge the patient information and the patient encounter record into a merged record for a patient encounter.

One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.

A system comprising a remotely programmable micromonitor with a wireless sensing system-on-module (SOM), one or more sensors to detect one or more conditions in a subject by monitoring one or more parameters associated with the conditions by comparing any monitored parameter to a baseline measurement of the monitored parameter from the subject, a plurality of sensors corresponding to a monitored parameter and connected to the micromonitor to convey measurements of all monitored parameters, the sensors including at least one of a non-optical pulse wave sensor or an electrocardiogram (ECG) sensor, a communications module capable of communicating with a wireless technology, wherein the module can send an alert signal to the subject or an attending physician or a remote service center or any other subject, and one or more algorithms for monitoring conditions and/or for predicting conditions, including at least one of a fall detection or fall prediction algorithm.

The present disclosure relates to a method and a system for examining respiratory disorders whereby signals coming from the examined person are recorded by a wireless sensor equipped with a microphone and an accelerometer and then sent to a monitoring station. The monitoring station receives a digital data stream from the wireless sensor, cuts out respiratory episodes from the signal and, using a classification assembly constructed from three independent detection modules, classifies a respiratory episode as being normal or as snoring as well as determines the occurrence of apnoea.