A61B5/68

AUTOMATIC AMBULATORY SUBJECT MONITORING

A system coupled to a non-human subject comprising communication circuitry configured to communicatively couple to a medical device coupled to the subject and a remote computing system, the medical device configured to monitor physiological data of the non-human subject and the remote computing system configured to store historical data for the non-human subject; processing circuitry; and a memory comprising instructions that, when executed by the processing circuitry, cause the processing circuitry to: receive the monitored physiological data from the medical device; determine whether the medical device indicates that the monitored physiological data is in satisfaction of at least one condition triggering an upload of at least a portion of the monitored physiological data; and in response to the determination, generate, for communication to the remote computing system, output data comprising the at least a portion of the monitored physiological data.

Recharge of implanted medical devices
11571127 · 2023-02-07 · ·

Systems, devices and methods are disclosed that allow recharging a power source located in an implanted medical device implanted in a patient, the recharging device comprising first and second pairs of electrical coils configured to generate first and second uniform magnetic fields in overlapping first and second cylindrical regions located between the respective pairs of electrical coils.

Blocking element of short wavelengths in LED-type light sources

Method, product and blocking element of short wavelengths in LED-type light sources consisting of a substrate with a pigment distributed on its surface and, in that said pigment has an optical density such that it allows the selective absorption of short wavelengths between 380 nm and 500 nm in a range between 1 and 99%.

Systems and methods for identifying biological structures associated with neuromuscular source signals

A system comprising a plurality of neuromuscular sensors, each of which is configured to record a time-series of neuromuscular signals from a surface of a user's body; and at least one computer hardware processor programmed to perform: applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; providing features, obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, as input to a trained statistical classifier and obtaining corresponding output; and identifying, based on the output of the trained statistical classifier, and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.

METHOD FOR TREATMENT OF ACQUIRED COGNITIVE DEFICITS

The present disclosure is directed to methods for improving a wakeful function in a subject suffering from an acquired cognitive deficiency by administering to the subject an effective amount of an upregulator of GABA.sub.B signaling, thereby improving the wakeful function in the subject. Another aspect of the disclosure us directed to methods for improving a wakeful function in a subject suffering from an acquired cognitive deficiency by administering to the subject an effective amount of an upregulator of GABA.sub.B signaling at night, in combination with administering an anterior-forebrain stimulating therapy when the subject is awake, thereby improving the wakeful function in the subject.

FOCUSED STERILIZATION AND STERILIZED SUBASSEMBLIES FOR ANALYTE MONITORING SYSTEMS

A system includes a sensor applicator, a sensor control device arranged within the sensor applicator and including an electronics housing and a sensor extending from a bottom of the electronics housing, and a cap coupled to one of the sensor applicator and the sensor control device, wherein the cap is removable prior to deploying the sensor control device from the sensor applicator.

SYSTEMS, DEVICES, AND METHODS FOR ROBOTIC PLACEMENT OF ELECTRODES FOR ANATOMY IMAGING
20230111217 · 2023-04-13 ·

A method comprises registering a robotic system with a patient based on first image data of the patient generated by a first modality to form a registered system, determining, within the registered system, a location for placing an electrode on the patient based on an area of interest for the patient, and causing the robotic system to place the electrode at the location on the patient.

SYSTEM AND METHOD FOR CONTROLLING A TRACHEOBRONCHIAL-AIR STIMULATION DEVICE
20230077086 · 2023-03-09 · ·

An automatic control system for a tracheobronchial-air stimulation device intended to be connected to a subject. The stimulation device is configured to generate a set of negative pressure pulses during a relaxed exhalation of the subject. Also, a method for automatically controlling the tracheobronchial-air stimulation device, and a computer program and non-transitory computer readable medium, each of which comprise instructions for implementation of the method.

SKIN CONDITION ESTIMATION METHOD, SKIN CONDITION ESTIMATION DEVICE, AND SKIN CONDITION ESTIMATION SYSTEM
20230148881 · 2023-05-18 ·

A skin condition estimation method of the present disclosure is a skin condition estimation method executed by a computer and includes: acquiring first information related to hormone balance; and estimating a future skin condition on an estimation date after a first acquisition date on which the first information is acquired based on the first information.

TELEMEDICINE SYSTEM USING ARTIFICIAL INTELLIGENCE-BASED NEUROFEEDBACK AND METHOD FOR OPERATING SAME

A telemedicine system according to one embodiment includes a gateway for transmitting monitoring information including a stimulation signal and a biosignal corresponding to the stimulation signal to a cloud; and a server for extracting the stimulation signal and the biosignal from the transmitted monitoring information, providing the extracted stimulation signal and biosignal as inputs of a pre-stored artificial intelligence machine learning algorithm-based stimulation control model, regenerating the biosignal as an output of the stimulation control model into a stimulation signal to be regulated for the balance between sympathetic and parasympathetic nerves, and feeding back the regenerated stimulation signal to a personalized vagus nerve stimulation and pulse electromagnetic field treatment device, wherein the monitoring information includes a biosignal measured when vagus nerves are stimulated in the form of electromagnetism at a stimulation site based on a stimulation signal generated from the personalized vagus nerve stimulation and pulse electromagnetic field treatment device, and the personalized vagus nerve stimulation and pulse electromagnetic field treatment device newly stimulates vagus nerves with the feedback stimulation signal.