A wireless, patient-worn, physiological sensor configured to, among other things, help manage a patient that is at risk of forming one or more pressure ulcers is disclosed. According to an embodiment, the sensor includes a base having a top surface and a bottom surface. The sensor also includes a substrate layer including conductive tracks and connection pads, a top side, and a bottom side, where the bottom side of the substrate layer is disposed above the top side of the base. Mounted on the substrate layer are a processor, a data storage device, a wireless transceiver, an accelerometer, and a battery. In use, the sensor senses a patient's motion and wirelessly transmits information indicative of the sensed motion to, for example, a patient monitor. The patient monitor receives, stores, and processes the transmitted information.

A wearable cardiac monitoring and treatment device for improved skin interface contact and easy assembly and disassembly includes a garment including an inner surface and an outer surface, ECG sensing electrodes, and at least one stiffener forming a section of the garment in proximity to one or more of the ECG sensing electrodes. The at least one stiffener is configured to resist rotation or pulling away of the one or more of the ECG sensing electrodes from a patient's torso. The device includes therapy electrodes, at least one separate module including a therapy delivery circuit, and a controller. The device includes compartments configured to receive the therapy electrodes and at least one separate module, and retention loops configured to route external wires extending between at least the therapy electrodes and at least one separate module, where the compartments and retention loops are disposed on the outer surface of the garment.

A smart watch to detect a presence of an arrhythmia of a user is disclosed. The smart watch comprising: a processing device and a photoplethysmography (“PPG”) sensor operatively coupled to the processing device, an ECG sensor comprising two or more ECG electrodes and operatively coupled to the processing device, a display operatively coupled to the processing device, and a memory, operatively coupled to the processing device. The memory may have instructions stored thereon that, when executed by the processing device, cause the processing device to: receive PPG data from the PPG sensor, receive ECG data from the ECG sensor, detect, based on the PPG data and the ECG data simultaneously, the presence of an arrhythmia, and provide one or more recommendations to the user based on the PPG data and the ECG data.

A smart watch to detect a presence of an arrhythmia of a user is disclosed. The smart watch comprising: a processing device and a photoplethysmography (“PPG”) sensor operatively coupled to the processing device, an ECG sensor comprising two or more ECG electrodes and operatively coupled to the processing device, a display operatively coupled to the processing device, and a memory, operatively coupled to the processing device. The memory may have instructions stored thereon that, when executed by the processing device, cause the processing device to: receive PPG data from the PPG sensor, receive ECG data from the ECG sensor, detect, based on the PPG data and the ECG data simultaneously, the presence of an arrhythmia, and provide one or more recommendations to the user based on the PPG data and the ECG data.

A consumer product that is a portable and, in some cases, a wearable electronic device. The wearable electronic device may have functionalities including: keeping time; monitoring a user's physiological signals and providing health-related information based on those signals; communicating with other electronic devices or services; visually depicting data on a display; gather data form one or more sensors that may be used to initiate, control, or modify operations of the device; determine a location of a touch on a surface of the device and/or an amount of force exerted on the device, and use either or both as input.

A device and/or method to determine a sleep-wake status, such as in association with sleep disordered breathing (SDB) care.

Methods and systems are provided for automatically diagnosing an electrocardiogram (ECG) using a hybrid system comprising a rule-based system and one or more deep neural networks. In one embodiment, by mapping ECG data to a plurality of features using a convolutional neural network, mapping the plurality of features to a preliminary diagnosis using a decision network, and determining a diagnosis based on the ECG data and the preliminary diagnosis using the rule-based system, a more accurate diagnosis may be determined. In another example, by incorporating both a rule-based system and one or more deep neural networks into the hybrid system, the hybrid system may be more easily adapted for use in various contexts/communities, as the one or more deep learning networks may be trained using context/community specific ECG data.

A medical device, system, and method having a flexible shaft and a multi-core fiber within the flexible shaft. The multi-core fiber includes a plurality of optical cores dedicated for shape sensing sensors, and a plurality of optical cores dedicated for force sensing sensors. A medical device flexing structure assembly can comprise a multi-core fiber comprising a plurality of cores, and a flexing structure comprising at least one slot. Each of the plurality of cores can comprise a fiber Bragg grating, and the flexing structure can be configured to bend in response to a force imparted on the flexing structure.

A medical device, system, and method having a flexible shaft and a multi-core fiber within the flexible shaft. The multi-core fiber includes a plurality of optical cores dedicated for shape sensing sensors, and a plurality of optical cores dedicated for force sensing sensors. A medical device flexing structure assembly can comprise a multi-core fiber comprising a plurality of cores, and a flexing structure comprising at least one slot. Each of the plurality of cores can comprise a fiber Bragg grating, and the flexing structure can be configured to bend in response to a force imparted on the flexing structure.

A plurality of modules are simultaneously positioned at locations that correspond to different angiosomes. Each of these modules has a front surface shaped and dimensioned for contacting a person's skin, a plurality of different-wavelength light sources aimed in a forward direction, and a plurality of light detectors aimed to detect light arriving from in front of the front surface. Each module is supported by a support structure (e.g., a strap or a clip) that is shaped and dimensioned to hold the front surface adjacent to the person's skin at a respective position. Perfusion in each of the angiosomes is monitored using these modules, and the surgeon can rely on this information to guide his or her intervention.