A medical monitoring system for use in residential facilities, nursing homes, or home environments is disclosed. The system utilizes a variety of modules and wearable medical devices that convey vital patient information to a series of smart hubs which are connected to the cloud. In the event a change in medical status of a patient occurs, the health care workers receive an Alert notifying them of which specific patient needs attention. The system is monitored using a specialized dashboard.

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording insertable cardiac monitor. The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation and storing samples of captured signals. In general, the ICM is intended to be implanted centrally and positioned axially and either over the sternum or slightly to either the left or right of the sternal midline in the parasternal region of the chest.

Multiple circuits in a computing device can share one or more conductive elements. The use of the conductive element can vary by circuit, such as an antenna radiator for a radio frequency (RF) circuit or an electrode for an electrocardiography (ECG) circuit. The circuitry sharing a conductive element can utilize signals obtained over different frequency ranges. Those ranges can be used to select decoupling circuitry, or elements, that can enable the respective circuits to obtain signals over a respective frequency range, excluding signals over one or more other frequency ranges corresponding to other circuitry sharing the circuit. Such an approach allows for concurrent independent operation of the circuitry sharing a conductive element.

A medical information processing device according to an embodiment includes processing circuitry. The processing circuitry is configured to acquire biometric information on a patient, detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information, and determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.

In one aspect, a dermal patch is disclosed, which comprises at least a pair of sensing units each configured for detecting at least one analyte in a physiological sample, at least one microneedle configured for puncturing the skin to allow collection of the physiological sample, and a selector device for selecting any one of said sensing units for receiving at least a portion of said collected physiological sample for analysis thereof.

There is provided a respiratory monitoring device (100) comprising one or more respiratory-related sensors (110) and a first circuit board comprising a controller. The one or more respiratory-related sensors are separated from and in communication the first circuit board. There is also provided a respiratory monitoring device comprising a controller, one or more respiratory-related sensor and an input means (114). The input means is arranged to trigger the controller to suspend sensing by at least one of the one or more respiratory-related sensors for one or more predetermined time periods. There is also provided a respiratory monitoring device having a housing comprising a front surface (102) at which one or more respiratory-related sensors are arranged, and a back surface (120), wherein the front surface is arranged to indicate an intended orientation to a user of the respiratory monitoring device.

Systems and methods for presenting sensor data are provided and include collecting physiological data and meta data from a subject via a sensor system, wherein the sensor system comprises a sensor element, a signal processor, and memory in communication with the signal processor. The subject meta data is processed by the signal processor to determine metric features, the metric features are processed by the signal processor to determine a subject-specific metric statistic for the subject, and the physiological data is processed by the signal processor to generate a sensor metric. The sensor metric is then presented for display via a display.

A medical monitoring system for use in residential facilities, nursing homes, or home environments is disclosed. The system utilizes a variety of modules and wearable medical devices that convey vital patient information to a series of smart hubs which are connected to the cloud. In the event a change in medical status of a patient occurs, the health care workers receive an Alert notifying them of which specific patient needs attention. The system is monitored using a specialized dashboard.

The biological information measurement system of the present invention includes a test subject-side device provided in a toilet installation room, and a server communicable with the test subject-side device, the test subject-side device includes a sulfur-containing gas sensor sensitive to sulfur-containing gas and outputting detection data, a transmitter-receiver transmitting measurement data including detection data of the sulfur-containing gas detected by the sulfur-containing gas sensor to the server, and the server includes a database in which measurement data including detection data of sulfur-containing gas detected by the sulfur-containing gas sensor is accumulated and recorded with dates and times of defecation acts by being associated with test subject identification information, and server-side data analyzer that analyzes physical condition of a test subject on the basis of a time-dependent variation tendency of the measurement data accumulated and recorded in the database.