An optical sensing device includes a device casing and an optical sensor on the device casing. In an embodiment, the optical sensing device further includes an image-capturing device on the device casing. The sensing direction of the optical sensor and the capturing direction of the image-capturing device point in the same direction. The image-capturing device can capture an image of an object to be sensed by the optical sensor. In another embodiment, the optical sensing device further includes a flexible shielding cover on the device casing and enclosing the optical sensor for shielding the optical sensor from external light.

Provided are a system and method for informing of attachment positions of electrocardiogram (ECG) electrodes to improve the quality of ECG data. The system includes a judgment indicator extractor configured to extract a plurality of judgment indicator values from ECG data obtained through ECG electrodes, a reference value setter configured to, in a user-specific reference value setting mode, collect the judgment indicator values for a plurality of pieces of ECG data extracted by the judgment indicator extractor and set user-specific reference values for each judgment indicator, a similarity determiner configured to, in an ECG measurement mode, determine similarity by comparing a plurality of judgment indicator values extracted by the judgment indicator extractor with the user-specific reference values, and an electrode attachment position guide configured to inform a user of attachment positions of the ECG electrodes according to a similarity determination result of each of the judgment indicator values.

One embodiment relates to an apparatus, comprising logic, at least partially incorporated into hardware, to: receive first sensor data associated with a first sensor of a first smart device; determine a first reliability factor associated with the first sensor data; receive second sensor data associated with a second sensor of a second smart device; and determine a second reliability factor associated with the second sensor data. The logic is further to determine a sensor data reporting plan based upon the first reliability factor and the second reliability factor, the sensor data reporting plan indicating whether each of the first sensor and the second sensor are to subsequently send their respective sensor data to a primary communication device.

A wearable physiological measurement system may include, inter alia, sensors and circuitry for automatically and continually determining a heart rate of a wearer. The system can be charged while worn by the wearer via coupling with a removable modular housing, which may itself provide additional functionality such as a multi-function watch.

Embodiments of apparatuses and methods for determining an emplacement of sensors in a wound dressing are disclosed. In some embodiments, a wound dressing includes a plurality of sensors configured to measure wound or patient characteristics. One or more processors are configured to receive wound or patient characteristics data as well as emplacement data. The received data can be used to determine an emplacement of the plurality of sensors, the wound dressing, or a wound. The sensors can include a set of nanosensors. The wound dressing can include pH sensitive ink which can be utilized for determining a placement of the wound dressing and determining a pH associated with the wound. The wound dressing can be used in a negative pressure wound therapy system.

Modular physiological sensors that are physically and/or electrically configured to share a measurement site for the comfort of the patient and/or to ensure proper operation of the sensors without interference from the other sensors. The modular aspect is realized by providing outer housing shapes that generally conform to other physiological sensors; mounting areas for attachment of one sensor to another sensor; providing release liners on the overlapping sensor attachment areas; and/or providing notches, tabs or other mechanical features that provide for the proper placement and interaction of the sensors.

Methods and apparatuses, including devices and systems, for remote and detection and/or diagnosis of acute myocardial infarction (AMI). In particular, described herein are handheld and adhesive devices having an electrode configuration capable of recording three orthogonal ECG lead signals in an orientation-specific manner, and transmitting these signals to a processor. The processor may be remote or local, and it may automatically or semi-automatically detect AMI, atrial fibrillation or other heart disorders based on the analyses of the deviation of the recorded 3 cardiac signals with respect to previously stored baseline recordings.

A system for monitoring medical conditions includes a conformable medical monitoring device that includes a first substrate layer, which includes an electronics module, many signal traces, and at least one electrode, such that one or more of the many signal traces electrically couple the at least one electrode to the electronics module. The conformable medical monitoring device includes a second substrate layer positioned over the electronics module, the first substrate layer, or any combination thereof to insulate the electronics module, the first substrate layer, or any combination thereof. The conformable medical monitoring device also includes a third substrate layer positioned over the second substrate layer, such that the third substrate layer reduces electromagnetic interference caused by a voltage pulse and includes an adjustable system coupled to the first substrate layer and that changes a position of the at least one electrode relative to the electronics module.

Systems, methods, and devices of a health device network may include: a non-invasive glucometer that non-invasively measures analyte levels; an invasive glucometer communicatively coupled directly to the non-invasive glucometer; a cloud-based server communicatively coupled to the non-invasive glucometer or the invasive glucometer; a user device communicatively coupled to the cloud-based server; and/or a user interface that displays the invasive glucose measurement, the non-invasive glucose measurement, a data batch, and/or processed data to the user. The non-invasive glucometer and/or the invasive glucometer may aggregate an invasive glucose measurement and a non-invasive glucose measurement into the data batch. A data analytics application on the cloud-based server may be configured to: integrate the invasive glucose measurement and the non-invasive glucose measurement; identify a correlation between the invasive glucose measurement and the non-invasive glucose measurement; and/or generate a predictive model based on the invasive glucose measurement and the non-invasive glucose measurement.

The present invention relates to a device, system, method and computer program for providing a skeleton model, wherein the device comprises a joint identification unit configured to obtain an image and corresponding image data of the patient comprising depth information and to generate joint location data by localizing one or more joints of the patient in said image, a pose estimation unit configured to generate pose estimation data by estimating a pose of the patient using the joint location data and/or the image data, a sensor location unit configured to obtain body location data, comprising information about a location of a sensor on the patients body, and image location data, comprising information about the location of the sensor in the image, and to generate sensor location data, assigning a sensor location in the image to a body location of the patient, based on the body location data and the image location data, an assignment unit configured to perform an assignment of the one or more joints to one or more body locations of the patient by using the joint location data, the pose estimation data and the sensor location data, and a skeleton modelling unit configured to generate a skeleton model of the patient based on the assignment of the joints to a body location.