Abstract: Provided herein is a computing system for optimizing a waveform, in communication with an implantable pulse generator, and including a computing device including a memory device and a processor communicatively coupled to the memory device. The processor is configured to: retrieve historical waveform data associated with a plurality of waveforms used in therapeutic sessions for a plurality of patients, the historical waveform data including a plurality of waveform parameters; analyzing the historical waveform data to determine preferred waveform parameters; determining that a patient is starting a new therapeutic session using the patient therapeutic device; displaying each of the preferred waveform parameters; prompting the user to accept or modify the displayed waveform parameters; optimizing the waveform parameters for the therapeutic session; and transmitting the optimized waveform parameters to the patient therapeutic device to start the therapeutic session.

Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

Abstract: An electronic device includes one or more processors, a tag reader, a display, and a wireless communication circuit. The one or more processors can identify an item in an environment of the electronic device. The tag reader can read item information from a tag corresponding to the item. The wireless communication circuit can retrieve one or more overlays across a network from the item information. The one or more processors can present an overlay selected from the one or more overlays on the display.

Abstract: The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

Abstract: Provided herein is a computing system for optimizing a waveform, in communication with an implantable pulse generator, and including a computing device including a memory device and a processor communicatively coupled to the memory device. The processor is configured to: retrieve historical waveform data associated with a plurality of waveforms used in therapeutic sessions for a plurality of patients, the historical waveform data including a plurality of waveform parameters; analyzing the historical waveform data to determine preferred waveform parameters; determining that a patient is starting a new therapeutic session using the patient therapeutic device; displaying each of the preferred waveform parameters; prompting the user to accept or modify the displayed waveform parameters; optimizing the waveform parameters for the therapeutic session; and transmitting the optimized waveform parameters to the patient therapeutic device to start the therapeutic session.

Abstract: Systems and methods for low power virtual reality (VR) presence monitoring and notification via a VR headset worn by a user entail a number of aspects. In an embodiment, a person is detected entering a physical location occupied by the user of the VR headset during a VR session. This detection may occur via one or more sensors on the VR headset. In response to detecting that a person has entered the location, a representation of the person is generated and displayed to the user via the VR headset as part of the VR session. In this way, the headset user may be made aware of people in their physical environment without necessarily leaving the VR session.

Abstract: A method, a system, and a computer program product for configuring output devices of a wearable device based on a detected orientation and body location of the wearable device. The method includes measuring at least one orientation input from at least one orientation module of a wearable device. The method further includes analyzing, via a processor of the wearable device, the at least one orientation input to determine a body location of the wearable device and a current orientation of the wearable device at the body location. The method further includes configuring at least one output device of the wearable device for operation in the current orientation at the body location.

Abstract: In some embodiments, a cleaning machine automatically identifies cleaning instructions associated with a load of textile articles, e.g., wearable and/or non-wearable textile articles, using an RFID reader. At least some of the wearable textile articles in the load include a respective RFID tag that provides information to the cleaning machine. In turn, the cleaning machine can configure various cleaning settings based upon the information. Some embodiments identify incompatibilities between the various cleaning settings, and provide a notification of this incompatibility. When the various cleaning settings are compatible, some embodiments automatically start a cleaning cycle.

Abstract: A mobile device includes a wireless transceiver operative to establish a wireless connection with a connected device. The connected device may be either a peer-to-peer device or an access point. The mobile device also includes a battery monitor and a processor, operatively coupled to the wireless transceiver and to the battery monitor. The processor is operative to obtain a charge level from the battery monitor, and negotiate with a connected device for a transceiver power output level based on the charge level. The processor is also operative to control the wireless transceiver to reduce the wireless transceiver power output to the negotiated transceiver power output level in response to an acknowledgement message from the connected device.

Abstract: A method of operating a real time locating system (RTLS) includes: obtaining object gesture pattern data for an RTLS tagged object, in response to a gesture pattern motion of the RTLS tagged object; receiving camera gesture pattern data from a video camera, in response to the gesture pattern motion of the RTLS tagged object; determining that the object gesture pattern data matches the camera gesture pattern data; and sending the RTLS coordinates of the RTLS tagged object to a monitoring device, in response to the object gesture pattern data matching the camera gesture pattern data.

Abstract: An electronic device includes a biometric sensor, such as a fingerprint sensor, that identifies biometric input received at the biometric sensor. One or more processors operable with the biometric sensor identify one or more companion devices operating within a wireless communication radius of the electronic device. Where multiple companion devices are within the wireless communication radius, a user can make a selection of one or more of them. One or more gesture sensors identify a predefined gesture input, such as a key turn simulation. A wireless communication circuit responsive to the one or more processors, delivers an actuation credential to at least one companion device to control the companion device.

Abstract: Systems and methods for user exhalation and environmental air analysis are implemented in an integrated or dockable analysis architecture including an opening adjacent a device microphone to admit an exhalation of a user while the user is speaking. In an embodiment, the opening leads to a passageway having at least one gas sensor therein, located such that a user exhalation entering the opening will impinge on the at least one gas sensor. A processor is linked to the gas sensor, and is configured to receive sensor signals from the gas sensor and generate biological information for the user.

Abstract: Systems and methods for low power virtual reality (VR) presence monitoring and notification via a VR headset worn by a user entail a number of aspects. In an embodiment, a person is detected entering a physical location occupied by the user of the VR headset during a VR session. This detection may occur via one or more sensors on the VR headset. In response to detecting that a person has entered the location, a representation of the person is generated and displayed to the user via the VR headset as part of the VR session. In this way, the headset user may be made aware of people in their physical environment without necessarily leaving the VR session.

Abstract: Systems and methods for low power virtual reality (VR) presence monitoring and notification via a VR headset worn by a user entail a number of aspects. In an embodiment, a person is detected entering a physical location occupied by the user of the VR headset during a VR session. This detection may occur via one or more sensors on the VR headset. In response to detecting that a person has entered the location, a representation of the person is generated and displayed to the user via the VR headset as part of the VR session. In this way, the headset user may be made aware of people in their physical environment without leaving the VR session.

Abstract: In implementations, a mobile device having a plurality of housings connected, one to another, using a flex structure that is bendable, is configured to determine spatial relationships between the housings. Sensors within the mobile device allow the mobile device to determine the spatial relationships as the mobile device is manipulated via the flex structure.

Abstract: Systems and methods for user exhalation analysis are implemented in an integrated or dockable analysis architecture including an opening adjacent a device microphone to admit an exhalation of a user while the user is speaking. In an embodiment, the opening leads to a passageway having at least one gas sensor therein, located such that a user exhalation entering the opening will impinge on the at least one gas sensor. A processor is linked to the gas sensor, and is configured to receive sensor signals from the gas sensor and generate biological information for the user based on spoken portions of the exhalation.

Abstract: An article of manufacture comprises a wearable, stretchable article comprising stretchable material. The wearable, stretchable article is selected from a group comprising: clothing, a hat, a headband, a wristband, socks, footwear, handwear, shorts, or an undergarment. At least one RFID tag is mounted on the wearable, stretchable article and includes a stretch-activated switch on the at least one RFID tag. The stretch-activated switch has a first mode and a second mode. The first mode is associated with a first RFID tag state and the second mode is associated with a second RFID tag state. The stretch-activated switch comprises a ground contact, an RFID enable contact and a contact to slidably engage the ground contact and the RFID enable contact to transition between the first RFID tag state and the second RFID tag state.

Abstract: An electronic device includes a biometric sensor, such as a fingerprint sensor, that identifies biometric input received at the biometric sensor. One or more processors operable with the biometric sensor identify one or more companion devices operating within a wireless communication radius of the electronic device. Where multiple companion devices are within the wireless communication radius, a user can make a selection of one or more of them. One or more gesture sensors identify a predefined gesture input, such as a key turn simulation. A wireless communication circuit responsive to the one or more processors, delivers an actuation credential to at least one companion device to control the companion device.

Abstract: A method of operating a real time locating system (RTLS) includes: receiving, by an RTLS tagged object, RTLS coordinates of the RTLS tagged object within an RTLS perimeter; tracking inertial measurement unit (IMU) data by the RTLS tagged object; determining, by the RTLS tagged object, RTLS coordinate error in the RTLS coordinates using the IMU data; and determining corrected RTLS coordinates for the RTLS tagged object using the error.