Abstract: An apparatus includes a processing device coupled to a memory storing instructions. The instructions may cause the processing device to receive photoplethysmography (PPG) data derived from signals associated with a PPG sensor oriented proximate a portion of an anatomy of a human subject and associated with a heart rate of the human subject; receive wb-accelerometer data derived from signals associated with a wb-accelerometer sensor oriented to sense the heart rate the human subject; and combine the PPG data and the wb-accelerometer data to generate a heart rate estimate.

Abstract: An apparatus includes a processing device coupled to a memory storing instructions. The instructions cause the processing device to receive photoplethysmography (PPG) data derived from signals associated with at least one PPG sensor; receive acoustic data derived from signals associated with at least one audio sensor oriented to sense a heart rate of a human subject; and combine the PPG data and the acoustic data to generate a heart rate estimate.

Abstract: Wearable devices using “legacy” sensors such as proximity sensors or infrared sensors suffer from false positives when, such as when they are placed in a hand, but not inserted on the user's body or on or into the user's ear. Embedding a PPG module or PPG sensor into the wearable device allows for the PPG module to act as a secondary check for the presence of a user wearing the wearable device. In some examples, the PPG module can be used as a sole sensor for the presence or absence of a human user. In other examples, a PPG module can be used to perform a secondary action after the “legacy” sensor performs a first action. For example, the first action can be connecting to a user device while the second action can be opening an application or playing music.

Abstract: Estimates related to heart rate or blood oxygen levels from wearable PPG devices can be exchanged between the devices. Estimated heart rates can be combined at either of the PPG devices or another device using a weighted average to derive a more accurate heart rate or blood oxygen level. A single PPG device is susceptible to motion artifacts and other sources of noise creating inaccurate readings. A time variable weighted average of the two heart rate estimates from two wearable PPG devices provides a real-time heart rate which is more accurate and less susceptible to error. Further, derivative metrics, which analyze the underlying heart rate estimate signals or blood oxygen levels, can also be combined based on rules to create a more accurate derivative metric. Notifications related to the heart rate estimate and derivative metrics can be provided to a user on a user device.

Abstract: An electromagnetic (EM) pose tracking system includes a computer input device having a pen or stylus form factor. In some embodiments, a base station device includes one of the transmitter (Tx) or receiver (Rx) module for the EM pose tracking system while the computer input device includes the other of the TX and receiver modules. The EM pose tracking system employs the Tx and Rx modules to collect EM pose data indicating a relative pose between the Tx and Rx modules. Based on the EM pose data, the EM pose tracking system (or a computer device working with the EM pose tracking system) identifies a pose (position, orientation, or both position and orientation) of the computer input device.

Abstract: A handheld electronic device is described for controlling three-dimensional content displayed in a user interface of a computing device. The handheld electronic device may include an electromagnetic sensing system for detecting a pose of the handheld electronic device in three-dimensional space and at least one communication module to trigger transmission of the commands to manipulate three-dimensional content displayed in the computing device based on detected changes in the pose of the handheld electronic device.

Abstract: Introduced here are approaches to ensuring that digital images generated during diagnostic sessions are properly associated with the appropriate patients. By implementing these approaches, a diagnostic platform can minimize the time needed to manually input information prior to a diagnostic session and improve the accuracy of this information.

Abstract: A handheld electronic device is described for controlling three-dimensional content displayed in a user interface of a computing device. The handheld electronic device may include an electromagnetic sensing system for detecting a pose of the handheld electronic device in three-dimensional space and at least one communication module to trigger transmission of the commands to manipulate three-dimensional content displayed in the computing device based on detected changes in the pose of the handheld electronic device.

Abstract: An electromagnetic (EM) pose tracking system includes a computer input device having a pen or stylus form factor. In some embodiments, a base station device includes one of the transmitter (Tx) or receiver (Rx) module for the EM pose tracking system while the computer input device includes the other of the TX and receiver modules. The EM pose tracking system employs the Tx and Rx modules to collect EM pose data indicating a relative pose between the Tx and Rx modules. Based on the EM pose data, the EM pose tracking system (or a computer device working with the EM pose tracking system) identifies a pose (position, orientation, or both position and orientation) of the computer input device.

Abstract: The present disclosure provides a wound closure device including: (a) a first opposing member and a second opposing member disposed on opposing sides of a central axis, each resiliently moveable between a closed position and open position relative to each other, each of the opposing members having a distal edge; (b) skin penetrating means for anchoring the device; (c) a pressure bar along each distal edge; (d) releasable locking means for biasing or maintaining the device in the closed position; and optionally (e) an accessory component.

Abstract: Systems, devices, and methods synchronize sensor data and timestamps based on a second clock of a second device relative to a first clock of a first device. The data are communicated from the second device to the first device by way of respective wireless circuits in the first and second devices. Timestamps based on the second clock are corrected based on one or more of a time offset value and a clock frequency offset value of the second clock relative to the first clock. The timestamps for the sensor data are scaled to account for clock drift, and shifted to account for clock offset error.

Abstract: A method of receiving EM field magnitude values indicative of a first pose of a mobile unit in relation to a base unit, receiving sensor data from a second sensor associated with the mobile unit, where the sensor data is indicative of a direction of movement of the mobile unit, calculating a set of candidate pose solutions based on the EM field magnitude values, selecting a pose from the set of candidate pose solutions based on the sensor data from the second sensor, and sending the pose to the processor.

Abstract: A device uses a hybrid pose tracking system, whereby the hybrid pose tracking system includes both an EM pose tracking system and a secondary pose tracking system, such as a line-of-sight pose tracking system. The hybrid pose tracking system collects EM pose data from the EM tracking system indicating a relative pose between a transmitter and a receiver, and further collects from the secondary tracking system secondary pose data that is also indicative of the pose of either the transmitter or the receiver. The hybrid pose tracking system calculates a weighted combination (e.g., a weighted sum) of the EM pose data and the secondary pose data to generate a final pose for the device.

Abstract: An electromagnetic (EM) position tracking system identifies the pose of objects based on detected strength values of an EM field. To address distortions in the field, the system employs a pose sensor to provide a second pose of the mobile unit. Under conditions where no distortion in the EM field has been detected, the HMD applies a nominal set of corresponding weights to the EM pose data and the IMU pose data, respectively, and combines the weighted pose value to identify a combined pose of the mobile unit. In response to detecting conditions that indicate distortion in the EM field, the HMD can apply different weights to the EM pose data and IMU pose data to, for example increase the influence of the IMU pose data on the combined pose.

Abstract: A device uses a hybrid pose tracking system, whereby the hybrid pose tracking system includes both an EM pose tracking system and a secondary pose tracking system, such as a line-of-sight pose tracking system. The hybrid pose tracking system collects EM pose data from the EM tracking system indicating a relative pose between a transmitter and a receiver, and further collects from the secondary tracking system secondary pose data that is also indicative of the pose of either the transmitter or the receiver. The hybrid pose tracking system calculates a weighted combination (e.g., a weighted sum) of the EM pose data and the secondary pose data to generate a final pose for the device.

Abstract: The present disclosure provides a wound closure device including: (a) a first opposing member and a second opposing member disposed on opposing sides of a central axis, each resiliently moveable between a closed position and open position relative to each other, each of the opposing members having a distal edge; (b) skin penetrating means for anchoring the device; (c) a pressure bar along each distal edge; (d) releasable locking means for biasing or maintaining the device in the closed position; and optionally (e) an accessory component.

Abstract: An EM pose tracking system controls a power mode by adjusting a transmit power of the EM transmitter based on a metric correlated with jitter in the EM readings. Such a metric includes metrics such as estimated noise computed from received EM data, a computed distance between the transmitter and the receiver, a measured signal power between the transmitter and the receiver, and the like. By adjusting the transmit power based on the jitter metric, the EM tracking system can reduce overall power consumption at a device that employs the EM tracking system, thus allowing the system to be used in a wider variety of devices and improving the user experience with those devices.

Abstract: An EM pose tracking system controls a power mode by adjusting a transmit power of the EM transmitter based on a metric correlated with jitter in the EM readings. Such a metric includes metrics such as estimated noise computed from received EM data, a computed distance between the transmitter and the receiver, a measured signal power between the transmitter and the receiver, and the like. By adjusting the transmit power based on the jitter metric, the EM tracking system can reduce overall power consumption at a device that employs the EM tracking system, thus allowing the system to be used in a wider variety of devices and improving the user experience with those devices.

Abstract: A method of receiving EM field magnitude values indicative of a first pose of a mobile unit in relation to a base unit, receiving sensor data from a second sensor associated with the mobile unit, where the sensor data is indicative of a direction of movement of the mobile unit, calculating a set of candidate pose solutions based on the EM field magnitude values, selecting a pose from the set of candidate pose solutions based on the sensor data from the second sensor, and sending the pose to the processor.

Abstract: Systems, devices, and methods synchronize sensor data and timestamps based on a second clock of a second device relative to a first clock of a first device. The data are communicated from the second device to the first device by way of respective wireless circuits in the first and second devices. Timestamps based on the second clock are corrected based on one or more of a time offset value and a clock frequency offset value of the second clock relative to the first clock. The timestamps for the sensor data are scaled to account for clock drift, and shifted to account for clock offset error.