Patent classifications
A61B5/389
Contingent cardio-protection for epilepsy patients
Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.
Neuromodulation calibration based on neurophysiological signals
A system may include at least one sensor configured to bilaterally sense neurophysiological signals from the patient to provide bilateral sensing data, and at least one processor configured to calibrate at least a first electrode contact and a second electrode contact on the least one neuromodulation lead, including: instruct the neuromodulation device to deliver neuromodulation energy using at least the first electrode contact to cause a first neurophysiological response and at least the second electrode contact to cause a second neurophysiological response; receive from the at least one sensor first bilateral sensed data corresponding to the first neurophysiological response and second bilateral sensed data corresponding to the second neurophysiological response; and determine based on the first and second neurophysiological responses at least one of: physiological midline information or electrode-tissue coupling information.
Neuromodulation calibration based on neurophysiological signals
A system may include at least one sensor configured to bilaterally sense neurophysiological signals from the patient to provide bilateral sensing data, and at least one processor configured to calibrate at least a first electrode contact and a second electrode contact on the least one neuromodulation lead, including: instruct the neuromodulation device to deliver neuromodulation energy using at least the first electrode contact to cause a first neurophysiological response and at least the second electrode contact to cause a second neurophysiological response; receive from the at least one sensor first bilateral sensed data corresponding to the first neurophysiological response and second bilateral sensed data corresponding to the second neurophysiological response; and determine based on the first and second neurophysiological responses at least one of: physiological midline information or electrode-tissue coupling information.
Neural efferent and afferent control of spring equilibrium, damping, and power in backdrivable and non-backdrivable series-elastic actuators comprising variable series stiffness mechanisms
A prosthetic device includes a frame defining an output axis, a cantilever beam spring attached to the frame, a moment arm attached to the spring, and a rigid output arm coupled to the frame and rotatable about the output axis. A connector assembly is configured to apply a moment to the cantilever beam spring via the moment arm while applying a torque about the output axis via the output arm. An ankle-foot device includes foot and ankle members connected for two-degree of freedom movement relative to one another, allowing for rotation about an ankle axis and rotation about a subtalar axis. Two linear actuators, each coupled to corresponding series elastic element, link the foot and ankle members. Driving the actuators in the same direction causes rotation about the ankle axis and driving the actuators in opposing directions causes rotation about the subtalar axis. A processor receives sensory information from a sensor and drives the actuators to control an equilibrium position of the series elastic elements. A rotary actuator for a prosthetic device includes a housing frame, a motor mounted within the housing frame, and a cycloidal drive coupled to the motor within the housing frame. A torsion shaft can extend through the actuator to an output and provide a series elastic element.
Neural efferent and afferent control of spring equilibrium, damping, and power in backdrivable and non-backdrivable series-elastic actuators comprising variable series stiffness mechanisms
A prosthetic device includes a frame defining an output axis, a cantilever beam spring attached to the frame, a moment arm attached to the spring, and a rigid output arm coupled to the frame and rotatable about the output axis. A connector assembly is configured to apply a moment to the cantilever beam spring via the moment arm while applying a torque about the output axis via the output arm. An ankle-foot device includes foot and ankle members connected for two-degree of freedom movement relative to one another, allowing for rotation about an ankle axis and rotation about a subtalar axis. Two linear actuators, each coupled to corresponding series elastic element, link the foot and ankle members. Driving the actuators in the same direction causes rotation about the ankle axis and driving the actuators in opposing directions causes rotation about the subtalar axis. A processor receives sensory information from a sensor and drives the actuators to control an equilibrium position of the series elastic elements. A rotary actuator for a prosthetic device includes a housing frame, a motor mounted within the housing frame, and a cycloidal drive coupled to the motor within the housing frame. A torsion shaft can extend through the actuator to an output and provide a series elastic element.
EXTENDED REALITY ADJUSTMENTS BASED ON PHYSIOLOGICAL MEASUREMENTS
In example implementations, an apparatus is provided. The apparatus includes a physiological sensor, a memory, and a processor. The physiological sensor is to measure a physiological parameter. The memory is to store an extended reality application and a baseline level for the physiological parameter. The processor is in communication with the physiological sensor and the memory. The processor is to execute the extended reality application. In response to the physiological parameter exceeding the baseline level by a difference threshold, the processor is to adjust the extended reality application.
EXTENDED REALITY ADJUSTMENTS BASED ON PHYSIOLOGICAL MEASUREMENTS
In example implementations, an apparatus is provided. The apparatus includes a physiological sensor, a memory, and a processor. The physiological sensor is to measure a physiological parameter. The memory is to store an extended reality application and a baseline level for the physiological parameter. The processor is in communication with the physiological sensor and the memory. The processor is to execute the extended reality application. In response to the physiological parameter exceeding the baseline level by a difference threshold, the processor is to adjust the extended reality application.
HEADSET SIGNALS TO DETERMINE EMOTIONAL STATES
An example non-transitory machine-readable medium includes instructions executable by a processor to capture a biometric signal from a biometric sensor at a headset that includes a stereoscopic display, capture a facial motion signal from a facial motion sensor associated with the headset, determine facial movement of a wearer of the headset based on the facial motion signal, apply a weight to the biometric signal based on the facial movement to obtain a weighted biometric signal, and use the weighted biometric signal to determine an emotional state of the wearer.
Implantable device and operating method of implantable device
An method of operating an implantable device includes sensing a neural signal generated in a tissue of a body, recognizing input information to process a cryptocurrency-based financial transaction by analyzing the sensed neural signal, and processing the cryptocurrency-based financial transaction based on the recognized input information.
Implantable device and operating method of implantable device
An method of operating an implantable device includes sensing a neural signal generated in a tissue of a body, recognizing input information to process a cryptocurrency-based financial transaction by analyzing the sensed neural signal, and processing the cryptocurrency-based financial transaction based on the recognized input information.