280 results about "Pain chronic" patented technology

An apparatus for generating currents in biological tissue is provided. The apparatus comprises an electrical source capable of generating an electric field across a region of tissue and means for altering the impedance of the tissue relative to the electric field, whereby an altered current is generated. The means for altering the impedance may be a chemical source, optical source, mechanical source, thermal source, or electromagnetic source. The system can be used to provide stimulation safely and effectively in human transcranial use. The currents are used for stimulating tissues and treating diseases, such as for example Parkinson's Disease, Chronic Pain, Depression, and / or Opioid Use Disorder.

The invention discloses a patient pain prediction method and device based on wearable equipment. The method comprises the steps that historical physiological data and activity data of a patient are collected through the wearable equipment; acquiring a pain assessment report of the patient through an electronic medical record system, wherein the pain assessment report comprises a pain intensity score, the frequency and duration of pain attack and a treatment and intervention scheme; establishing a pain multi-modal evaluation model according to the physiological data and the pain evaluation report; wherein the pain multi-modal evaluation model comprises a learning identification module, a 1-all strategy module, a time sequence prediction module and a multi-modal fusion evaluation module; inputting the current physiological data into the pain multi-mode evaluation model, and predicting the pain intensity and the pain mode of the patient. Through the model comprising rule learning, the 1-all strategy, time sequence prediction and multi-mode fusion evaluation, the prediction precision of the pain intensity and the pain mode of the patient is improved, and the diagnosis and treatment effect of the patient, especially the chronic pain patient, can be remarkably improved.

The disclosure provides methods for treating a subject in need thereof comprising administering to the subject a therapeutically-effective dose of psilocybin. The methods described herein may be used to treat a variety of diseases, disorders, and conditions. For example, the methods may be used to treat neurocognitive disorders (e.g., Alzheimer's disease, Parkinson's disease), ADHD, Epilepsy, Autism, Sleep-wake disorders, Chronic pain, Inflammatory Disorders, IBD, Stroke, ALS, and / or Multiple Sclerosis.

The disclosure provides methods for treating a subject in need thereof comprising administering to the subject a therapeutically-effective dose of psilocybin. The methods described herein may be used to treat a variety of diseases, disorders, and conditions. For example, the methods may be used to treat neurocognitive disorders (e.g., Alzheimer's disease, Parkinson's disease), ADHD, Epilepsy, Autism, Sleep-wake disorders, Chronic pain, Inflammatory Disorders, IBD, Stroke, ALS, and / or Multiple Sclerosis.

Methods and systems are provided for treating chronic pain using spinal cord stimulation in combination with a neural recording device that records electrical signals from neural activity associated with chronic pain. Machine learning computational models are used to classify patterns of neural activity associated with various pain states and pain relief. Neural signatures of “chronic pain” and “pain relief” are used to assist with spinal cord stimulation programming to determine therapeutic stimulation parameters that achieve analgesia without paresthesia, the minimum stimulation amplitude needed for effective therapy, and to predict whether spinal cord stimulation is likely to be effective in relieving pain. A closed-loop therapy system is provided comprising a spinal cord stimulator that records brain electrical signals from neural activity associated with pain and automatically adjusts spinal cord stimulator settings to deliver electrical stimulation to the spinal cord when pre-specified patterns of neural activity associated with pain are detected.

Methods, systems, and devices include processing one or more inputs including at least one of patient-provided answers and device utilization information in association with at least one health domain, wherein the at least one health domain is associated with one or more chronic conditions, determining one or more states of a patient in association with the at least one health domain based at least in part on processing the one or more inputs, and storing information describing the one or more states in an electronic data record.

In the herpes zoster neuralgia chronic detection and AI identification model training method and system, information of a detector is collected, and the information of the detector comprises age, gender and herpes zoster definite diagnosis time; collecting detection information of a detector, wherein the detection information comprises a ratio of IL18 to IL18BP; pain information of the detected person is collected; the pain information of the detector comprises pain intensity and attack frequency; the pain information of the detected person is marked, marked information is obtained, and the marked information comprises acute pain, chronic pain and the risk degree of converting the acute pain into the chronic pain; performing AI training according to the detector information, the detection information and the annotation information, and obtaining a herpes zoster neuropathic pain AI feature data set after the AI training; the herpes zoster neuralgia AI feature data set is used for detecting the possibility that the herpes zoster neuralgia of the testee is converted from acute pain to chronic pain in combination with AI software. And diagnosis and treatment basis information from a brand new perspective is provided for the post-herpes zoster neuralgia.

Systems and techniques are disclosed to adjust programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, through the use of a dynamic model adapted to identify pain treatment parameters for a human patient and determine a best device operational program to implement the pain treatment parameters to address the chronic pain condition. In an example, the system to adjust programming of the neurostimulation device performs operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamic model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain; and select a neurostimulation program for the neurostimulation device, corresponding to at least a portion of the identified pain treatment parameters.

The invention relates to sterile bispentadol sebacate, a preparation method thereof and medical application of a medicinal preparation containing the sterile bispentadol sebacate. Wherein the particle size D50 of the sterile bis (tapentadol) sebacate is 0.5 to 10 [mu] m. The invention also provides application of the bispentadol sebacate in preparation of various acute and chronic pain medicines, and the bispentadol sebacate has the characteristic of remarkable long-acting effect.

The invention provides a follow-up visit consultation system for chronic pain patients, and relates to the technical field of intelligent medical treatment, and the system comprises a data collection unit which is used for obtaining subjective pain description data, real-time physiological monitoring data and historical diagnosis and treatment data of a patient; the prediction analysis unit is used for performing pain deterioration risk prediction based on the multi-source data and an artificial intelligence model, and outputting a prediction result containing a risk level and individualized pathological features; and the dynamic intervention unit is used for generating dynamic treatment suggestions according to the prediction result, pushing the dynamic treatment suggestions to the doctor and the patient, and receiving execution feedback data of the patient so as to perform closed-loop optimization on the treatment strategy. According to the technical scheme, the subjective pain description, the real-time physiological monitoring data and the historical diagnosis and treatment records of the patient are obtained at the same time, the integrity of the data is improved through the comprehensive collection mode of multi-source data, the accuracy and timeliness of information are ensured, and the problems of subjective deviation and inaccuracy caused by the fact that follow-up visit depends on memory of the patient are solved.

The invention relates to gluconic acid pentazocine benzoate as shown in a formula (I), and a preparation method, a pharmaceutical preparation and medical application thereof. The invention provides application of the compound in preparation of medicines for treating moderate and severe acute and chronic pains, and the compound has the effects of high efficacy and low side effect. # imgabs0 #

The invention discloses a man-machine suitability evaluation method for a mattress, and relates to the field of human engineering health monitoring, and the method comprises the steps: screening testers according to a BMI grading standard, and collecting the height, weight, gender, age, sleep habit and chronic pain medical history basic data of the testers to obtain the BMI values of the testers; inputting the BMI value of the tester into the mattress hardness selection model to obtain the hardness range of the tested mattress, arranging a to-be-tested mattress with selected hardness in a constant-temperature and constant-humidity experimental environment, and enabling the tester to lie on the to-be-tested mattress in sequence at a standard supine position and a standard lateral position. According to the method, the spine stiffness demand curve is predicted in real time through the LSTM neural network, millisecond-level dynamic support adjustment is achieved, the response speed is remarkably increased compared with a traditional method, and spine compensatory bending in sleep can be prevented; and in combination with pressure-blood oxygen coupled IRI index calculation, microcirculation disturbance is accurately warned before tissue injury, and the problem of local ischemia is solved through partition adjustment.

According to the three-dimensional electric field coupling modeling method for analgesia provided by the invention, the propagation process of an electric field in each physiological tissue is accurately simulated by constructing a multi-layer bionic tissue model, so that the accuracy and effect of analgesia treatment are improved; calculating the conductivity and dielectric constant of each layer of tissue, performing numerical simulation on electric field distribution by using a finite element analysis technology, optimizing electrode configuration and electrical stimulation parameters, and ensuring the uniformity and stability of the electric field of a target area; a neurophysiology model is integrated, the conduction law of nerve fiber action potential is dynamically simulated, the stimulation effect of electric field intensity on nerve fibers is quantitatively analyzed, analgesia parameters are further optimized, and accurate control over pain signal transmission is achieved. The problems that in an existing electrical stimulation technology, electric field distribution is not uniform, electrode contact is not stable, and the stimulation effect is difficult to last are effectively solved, wide clinical application prospects are achieved, and an efficient, stable and accurate solution is provided especially in non-invasive treatment of chronic pain.

The invention discloses an intelligent drug delivery pain management bracelet, and relates to the fields of wearable equipment, transdermal drug delivery and biological signal processing. The bracelet is integrated with a multi-mode biosensor which comprises a temperature sensor, a pressure sensor, a heart rate sensor, a blood oxygen sensor and a skin electric response sensor, and physiological data related to pain can be collected in real time. Through an embedded microcontroller and a machine learning algorithm, a pain intensity evaluation model is constructed, and real-time evaluation of the pain state of a patient is realized. Based on the pain intensity and the physiological state of a patient, a drug release strategy is dynamically adjusted through an intelligent algorithm, and drugs are released painlessly and accurately through a micro-needle transdermal drug delivery technology, so that the patient obtains the optimal treatment effect. And the functions of data storage, historical analysis and remote doctor monitoring can be expanded. The hand ring is convenient to operate, comfortable to use and suitable for various pain management scenes such as chronic pain and postoperative pain, and the personalized level of pain treatment and patient compliance are remarkably improved.

Variable amplitude signals for neurological therapy, and associated systems and methods are disclosed. A representative method includes activating automatic delivery of an electrical therapy signal to a patient's spinal cord region at a frequency in a frequency range between 1.5 kHz and 100 kHz, via at least one signal delivery contact carried by an implanted signal delivery device. The delivery can include repeatedly and automatically delivering the electrical therapy signal at each of multiple therapy signal amplitudes to the at least one signal delivery contact, without the therapy signal generating paresthesia in the patient. The foregoing process can be used as a screening tool to screen responders from non-responders in the context of a non-paresthesia-generating therapy, and / or can be used during long-term treatment, for example, for chronic pain.

The invention discloses a temperature-adjustable analgesic method for cooling dorsal root ganglion, which is characterized in that according to the characteristics of complicated anatomical structure and extremely small size of the dorsal root ganglion, a miniature thermoelectric refrigeration device which is small in size, capable of being embedded in vivo, high in biocompatibility, wide in refrigeration range and capable of being stably fixed is designed. Meanwhile, the device has the characteristics of capability of quantitatively regulating and controlling the refrigerating temperature, no external refrigerating cycle, low cost and the like; besides, under the condition that the nerve structure is not damaged, the device can effectively slow down inherent nerve activity and inhibit abnormal discharge of neurons, so that the device is used for gently cooling and regulating DRG to relieve chronic pain. The invention not only opens up a brand-new treatment way for chronic pain patients who have been addicted or tolerated to drugs, but also is expected to be expanded to the field of pain management of animals such as pets and racing horses.

The invention relates to compounds, compositions, and methods for derepressing RE1 silencing transcription factor (REST) target genes are provided. In particular, a peptide having the sequence TEDLEPPEPPLPKEN (SEQ. ID NO: 1) and EDLEPPEPPLPK (SEQ. ID NO: 15), or the reversed sequences made of D-amino acids (retro inverted, RI) nekplppeppeldet (SEQ ID NO: 16) and kplppeppelde (SEQ ID NO: 17), are disclosed for inhibiting REST activity. The peptides are useful to treat, prevent, or ameliorate conditions such as traumatic brain injury, epilepsy, dementia, Huntington's Disease (HD), chronic pain, brain cancer (including glioblastoma multiforme), pancreatic cancer; diabetes, and peripheral nerve injury.

1. The name of this design product: Handheld red light therapy device for pain. 2. Purpose of this design product: This design product is used for auxiliary treatment of soft tissue injuries and chronic pain. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The present invention relates to a voltage-gated sodium channel Nav1.8 selective inhibitor and the use thereof in the preparation of a related drug. The drug is used for treating diseases responsive to the inhibition of voltage-gated sodium channel NaV1.8, such as chronic pain, enterodynia, neuropathic pain, musculoskeletal pain, acute pain, inflammatory pain, cancer pain, idiopathic pain, post-operative pain, visceral pain, multiple sclerosis, Charcot-Marie-Tooth syndrome, incontinence, pathological cough or arrhythmia. Specifically, the present invention relates to a compound as shown in formula (X), and an isomer, nitrogen oxide, hydrate, solvate, metabolite, pharmaceutically acceptable salt or prodrug thereof.

Smart insoles provide comfort and support while analyzing gait, improving posture and alignment, and tracking fitness metrics. Raw data from the smart insoles is fed into normative data algorithms to create a unique user report in real-time. A mobile app associated with the smart insole connects users to caregivers, articles, and personalized exercises. Monitoring of these parameters is used for managing chronic pain and sedentary lifestyle. The smart insole is a smart wearable device with a mobile app to monitor and manage chronic pain, which is an effective strategy in reducing foot pain and increasing physical activity.

The invention relates to the technical field of cognitive function assessment, and discloses a chronic pain patient early cognitive function abnormality assessment method and system, and the method comprises the steps: obtaining the MoCA scale score and electroencephalogram rsEEG signals of a target population; according to the MoCA scale score and the electroencephalogram rsEEG signal of the target population, obtaining MoCA score data and rsEEG data of chronic pain patients with abnormal cognition, chronic pain patients with normal cognition and healthy population, and constructing a chronic pain database; and comparing the basic information, the MoCA total score, the domain score and the brain region power spectrum ratio of the to-be-detected person with data of a chronic pain database to obtain an early cognitive function abnormality assessment result of the chronic pain patient. According to the method, MoCA scale scoring and the rsEEG technology are combined, quantitative objective markers for chronic pain cognitive dysfunction are determined, and doctors are effectively assisted in recognizing chronic pain patients with cognitive function impairment as early as possible and preventing and treating the chronic pain patients in time.

The invention relates to the technical field of medical instruments, in particular to a multi-mode biological feedback ear vagus nerve self-adaptive stimulation device and method.The device comprises a host, a stimulation electrode, a signal collection bracelet and an electroencephalogram collection module, and the host comprises core hardware configuration and a power management system; the signal acquisition bracelet comprises an ECG module, a PPG module, a GSR module, a six-axis acceleration sensor and the like. The ear vagus nerve stimulation parameter can be dynamically adjusted through real-time analysis of multi-mode data such as electrocardio, electroencephalogram, heart rate variability, respiration-heart rate synchronism and emotional state, personalized precise treatment is achieved, meanwhile, the wearing comfort and the durability of the device are improved, and the application range is wide. The traditional Chinese medicine composition can be used for auxiliary treatment of various diseases such as inflammatory bowel disease, epilepsy, chronic insomnia, depression, chronic pain, anxiety disorder, post-traumatic stress disorder and autonomic nerve dysfunction, and the functions of a nervous system are adjusted and the symptoms of a patient are improved by accurately stimulating the vagus nerve in the auricular concha area.

The invention discloses an intelligent temperature control health care patch and a preparation method thereof, and belongs to the technical field of medical instruments. The health care patch comprises a surface layer (a CO2 laser drilling PET film and a fluorosilane coating), a temperature control layer (paraffin / mesoporous silica composite phase change material), a medicine layer (wormwood essential oil-paraffin / sodium alginate microcapsules) and a bonding layer (silicone adhesive / hydrogenated castor oil). Ventilation and sweat prevention are achieved through the laser micropores and the hydrophobic coating, the phase change material composite system provides + / -1.4 DEG C temperature control precision, and the 48-hour medicine volatilization loss rate is only 3.2%. The preparation method adopts vacuum impregnation, low-temperature crosslinking and gradient curing processes, and interlayer bubble-free combination and efficient production are realized. The product has thermal therapy accuracy, medicine long-acting slow release property and skin adaptability, and is suitable for the field of chronic pain and joint nursing.

According to the intelligent green light phototherapy glasses and the intelligent adaptation method thereof, a narrow-band green light LED light source with the central wavelength being 530 + / -5 nm is adopted, and individualized pain management is achieved in combination with heart rate variability, electrodermal response and pupil dynamic monitoring. A multi-source sensor and a micro control panel are arranged in the glasses, physiological data are collected in real time, the illumination intensity, frequency and irradiation mode are dynamically adjusted through an artificial intelligence algorithm, and a closed-loop phototherapy control system is constructed. The device supports Bluetooth / Wi-Fi connection, interacts with a mobile terminal APP, and realizes data recording, curative effect evaluation and remote monitoring. The system has multiple safety mechanisms such as constant-current driving, temperature feedback, over-illumination protection and posture detection, and long-term wearing safety is ensured. Through the regulation effect of green light on pain neural pathways, a safe, portable and intelligent chronic pain non-drug treatment means is provided under the condition that daily activities are not interfered, and high compliance and a remarkable analgesic effect are achieved.

The invention relates to the technical field of electroencephalogram characteristic index calculation, and discloses a chronic pain electroencephalogram index calculation algorithm, which comprises a data preprocessing stage, a multi-layer perceptron architecture design, a model training stage, a model evaluation stage and a multi-scale information fusion stage. The data preprocessing stage further comprises normalization and data division; the architecture design of the multi-layer sensor comprises an input layer, a hidden layer and an output layer; the model training stage comprises a loss function and optimization algorithm, forward propagation, loss calculation, back propagation and parameter updating one-set repeated training; in the model evaluation stage, evaluation needs to be carried out on a test set, and hyper-parameters are adjusted. According to the method, the connection strength or the activity level of different regions of the brain under different threshold values is reflected, the association between the brain nerve activity and the chronic pain can be described more comprehensively by fusing the connection strength or the activity level, the pain related mode hidden in the association can be mined, the limitation of single feature analysis is avoided, and comprehensive evaluation of the chronic pain is facilitated.

Described herein is a composition that includes an N-methyl-D-aspartate receptor (NMDAR) antagonist and a TAS2R receptor response mediating agent for treating neuropathic pain and depression. Methods for treating chronic pain with the described composition are also described.

The invention provides a nano-drug carrier and a drug release system, the nano-drug carrier comprises a drug loading core and a responsive shell arranged outside the drug loading core, and the drug loading core is loaded with a nano-drug; the surface of the responsive shell is modified with a targeting ligand, and the targeting ligand can specifically target pain-related cells or tissues. According to the nano-drug carrier and the drug release system provided by the invention, precise long-acting treatment of chronic pain is realized through combination of an environment-responsive carrier and an active targeting technology. The technology can significantly improve local accumulation of the medicine and reduce systemic toxicity, and is suitable for management of intractable pains such as neuropathic pains and osteoarthritis.

A transcutaneous nerve stimulation system includes a multifunctional earphone assembly that receives a sound signal from a sound source or other sources (such as a signal generator). An amplifier receiving the sound signal from the sound source or independent signal generator amplifies the sound signal to generate an amplified electrical signal. A stimulator, which includes multiple conductive electrode contacts, is coupled to the amplifier to receive the amplified electrical signal. The electrode contacts may protrude from an earbud / headphone or extend from an adjustable probe arm. The amplified electrical signal is used to apply electrical stimulation while the earphone assembly emits audible sounds according to the sound signal. The combined functionality enhances compliance with treatment regimens involving electrical stimulation of vagus nerves and other regions of a subject. Potential indications include, without limitation, major depressive disorder, epilepsy, chronic pain, pre-diabetes, insomnia, cardiovascular disorders, tinnitus, autism, daily stress, and anxiety.

Presented herein are devices and systems as well as the methods of using the same for the purpose of reducing and / or ameliorating the sensation of pain, specifically, chronic pain. Particularly, in one aspect, the devices, systems, and their methods of use disclosed herein are effective for reducing peripheral nerve pain, such as resulting from traumatic nerve injury and other types of nerve damage.