A61B5/4824

VR-Based Treatment System and Method
20230047622 · 2023-02-16 ·

An XR-based system (virtual reality, augmented reality, or mixed reality system), is provided to visualize and resolve at least one condition of a subject. A dynamic virtual representation of the subject's body is generated based on the captured physical traits and movement of the subject's body is captured by at least one motion tracking device, and rendered in the extended reality environment. The dynamic virtual representation is synchronized with the movement of the body of the subject, generating a virtual representation of at least one condition of the subject in response to one or more inputs, overlaying or rendering the virtual representation of the condition of the subject on the virtual representation of the body of the subject, and receiving and processing one or more inputs representing one or more attributes of the condition to adjust the virtual representation of the condition of the subject in the extended reality environment.

DEVICES, SYSTEMS, AND METHODS FOR DIAGNOSING TREATING AND MONITORING CHRONIC PELVIC PAIN

A system for determining a treatment regimen for chronic pelvic pain (CPP) includes an electromyography (EMG) probe including electrodes. Each electrode detects pelvic floor muscle activity. An EMG sensor array includes bipolar EMG sensors configured to detect muscle activity of muscles associated with or supporting the pelvic floor muscles. An EMG amplifier is in communication with the EMG probe or the EMG sensor array. The EMG amplifier includes a plurality of input channels. Each input channel receives data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles from the EMG probe or the EMG sensor array. A processor of a computer performs muscle network analysis using the data of muscle activity in the pelvic floor muscles or the muscles associated with or supporting the pelvic floor muscles. A treatment regimen for CPP is recommended based on the muscle network analysis.

CURRENT BIAS AS A CONTROL MECHANISM FOR ELECTRODE OPERATION

Disclosed herein are systems and methods for electrically modulating tissue. Systems can include a current generator; at least one implantable working electrode, the at least one implantable working electrode configured to be in electrical communication with the current generator; at least one indifferent electrode; and a controller configured to signal the current generator to: generate a set of currents with a set of initial polarities to be delivered to the working electrodes; and wherein the at least one indifferent electrode absorbs a bias current which is equal in magnitude and opposite in polarity to a summation of the set of currents.

Communication devices, methods, and systems
11589816 · 2023-02-28 ·

Numerous aspects of communication devices, methods, and systems are described in this application. One aspect is an apparatus comprising a plurality of energy generators arrangeable on or adjacent skin. Each energy generator of the plurality of energy generators may be operable to output a plurality of different energy types in a signal direction toward the skin. The plurality of energy generators may be operable to communicate with nerves associated with the skin when arranged on or adjacent the skin by outputting an energy signal in the signal direction with one or more energy types of the plurality of different energy types.

Apparatus for the Assessment of the Level of Pain and Nociception During General Anesthesia Using Electroencephalogram, Plethysmographic Impedance Cardiography, Heart Rate Variability and the Concentration or Biophase of the Analgesics
20180000409 · 2018-01-04 ·

Means and methods for measuring pain and adapted for calculating the level of nociception during general anesthesia or sedation from data including electroencephalogram (EEG), facial electromyogram (EMG), heart rate variability (HRV) by electrocardiogram (ECG) and plethysmography by impedance cardiography (ICG). In a preferred embodiment of this invention the parameters derived from the EEG, the HRV, the plethysmographic curve and the analgetics concentrations are either combined into one index on a scale from 0 to 100, where a high number is associated with high probability of response to noxious stimuli, while a decreasing index is associated with decreasing probability of response to noxious stimuli. Zero (0) indicates extremely low probability of response to noxious stimuli. In an alternative embodiment, only features from the EEG and ECG will be used or only features from EEG, ECG and ICG, to define the fmal index.

Method of identifying chronic pain using low frequency fluctuations in nucleus accumbens
11707221 · 2023-07-25 · ·

A method of identifying chronic pain in a patient including using functional magnetic resonance imaging (fMRI), performing a functional brain scan in the NAc (nucleus accumbens) of a patient brain including extracting activity from the NAc. Database information, which includes fMRI data obtained from healthy patients, may be compared to the extracted activity to determine if patient is a chronic pain patient. In patients with chronic pain, the method may be repeated to evaluate the effects of the treatment. A resting state brain scan may be performed initially, and a Fourier transform may be performed to obtain frequency content. The frequency bands of the method may be broken down to extract information in a 0.01-0.027 Hz frequency band.

PAIN MANAGEMENT WEARABLE DEVICE

A computer implemented method for providing pain management using a wearable device determines a predictive model estimating an intensity level of pain as a function of at least one physiological parameter of a user of the wearable device and at least one activity of the user. The activity of the user includes one or combination of a type of the activity, a level of the activity, a location of the activity, and a duration of the activity. The method determines measurements of physiological and activity sensors of the wearable device to produce values of the physiological parameter and the activity of the user and predicts the intensity level of the pain based on the predictive model and the values of the physiological parameter and the activity of the user. The method executes actions based on the predicted intensity level of pain.

DIAGNOSIS AND TREATMENT OF CHRONIC PAIN
20180008827 · 2018-01-11 ·

Methods, systems and devices for treating chronic pain by inducing stimulation to a predetermined region of the brain and measuring neural activity response to the stimulation and evaluating a neuroplasticity and/or excitability of neural-structures in a predetermined brain region, then stimulating the predetermined brain region to treat the chronic pain.

Muscle and fascia pain identification by electrical stimulus
11707222 · 2023-07-25 · ·

A nerve stimulation system including a stimulation probe including a handle and a stimulation head at an end of the handle; a reference electrode; and a control system in communication with the stimulation probe and the reference electrode, the control system configured to generate an electrical stimulation signal that, when delivered to a skin surface of a patient using the stimulation probe, induces an activation potential in a plurality of nociceptors while remaining below a threshold that induces a muscle contractile response.

Methods and systems for providing personalised medicine to a patient

The present disclosure relates to methods and systems suitable for use in identifying and providing personalised medicine to a patient. In some aspects, systems and method generate a co-therapy regimen for a patient suffering from a disease or condition. An identification of a co-therapy suitable to treat the disease or condition is received. A desired patient endpoint and a patient position are received, wherein the patient position is defined relative to the desired patient endpoint. A dataset relating to the patient is stored. The dataset comprises one or more patient data based on patient-related measurements. The dataset, the patient position and the desired patient endpoint are processed to generate a regimen for the co-therapy. The regimen is stored in a database.