Patent classifications
A61H2230/30
Method and system for thermal and compression therapy relative to the prevention of deep vein thrombosis
A DVT and temperature therapy system. A temperature therapy blanket includes a fluid bladder for delivering hot and/or cold therapy to a patient. The temperature therapy blanket may also include an air bladder for providing compression. The DVT system functions independently of the temperature therapy. This Abstract is provided to comply with rules requiring an Abstract that allows a searcher or other reader to quickly ascertain subject matter of the technical disclosure. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 CFR 1.72(b).
WEARABLE DEVICES, SYSTEMS, METHODS AND ARCHITECTURES FOR SENSORY STIMULATION AND MANIPULATION, AND PHYSIOLOGICAL DATA ACQUISITION AND WEARABLE HAPTIC NAVIGATION SYSTEM FOR USE IN NAVIGATING A USER AND OR POSITIONING A USER'S BODY ALONG A SAFE EGRESS PATH IN OBSCURED VISIBILITY ENVIRONMENTS
A wearable haptic navigation system for obscured visibility environments, the wearable haptic navigation system including: a wearable haptic component, in one alternative a body covering suite; and a mapping data collector and processor in communication with the wearable haptic component; wherein the mapping data collector and processor collects data related to a path traversed by a user of the wearable haptic navigation system and generates at least one proprioception suggestion signal to the wearable haptic component providing the user with a suggested safe egress path and/or a suggested safe body position.
Detection of myocardial contractions indicative of perfusion
A system for assisting with a cardiopulmonary resuscitation (CPR) treatment being administered to a patient. In one aspect, the system includes electrodes to provide an ECG signal of the patient, one or more sensors configured to measure an intrinsic myocardial wall movement of the patient, and one or more processors. The one or more processors are configured to perform operations including: during the CPR treatment being administered to the patient, receiving an input from the sensor(s), processing the input from the sensor(s) and the ECG signal, determining, based on processing, whether the intrinsic myocardial wall movement is indicative of a perfusion movement of the patient's heart, and providing an indication to a user of the system based on the determination.
Systems and methods of using artificial intelligence and machine learning in a telemedical environment to predict user disease states
Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.
System and method for using artificial intelligence and machine learning and generic risk factors to improve cardiovascular health such that the need for additional cardiac interventions is mitigated
A computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.
SYSTEMS AND METHODS FOR USING AI ML TO PREDICT, BASED ON DATA ANALYTICS OR BIG DATA, AN OPTIMAL NUMBER OR RANGE OF REHABILITATION SESSIONS FOR A USER
A system includes a treatment apparatus configured to implement a treatment plan for rehabilitation to be performed by a user and a processing device configured to receive attribute data associated with the user; generate, based on the rehabilitation, selected attribute data; determine, based on the selected attribute data, the rehabilitation, and a rehabilitation goal associated with the rehabilitation, one or more probabilities of attaining the rehabilitation goal within respective one or more numbers of rehabilitation sessions to be performed by the user using the treatment apparatus; provide, based on the one or more probabilities, an indication of the one or more numbers of rehabilitation sessions; and generate, based on a selected number of rehabilitation sessions from among the one or more numbers of rehabilitation sessions, the treatment plan. The treatment plan includes one or more exercises directed to attaining the rehabilitation goal within the selected number of rehabilitation sessions.
SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO GENERATE TREATMENT PLANS HAVING DYNAMICALLY TAILORED CARDIAC PROTOCOLS FOR USERS TO MANAGE A STATE OF AN ELECTROMECHANICAL MACHINE
In one embodiment, a computer-implemented system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The treatment plan includes a high-intensity interval training (HIIT) session. A processing device is configured to initiate, using the electromechanical machine, the HIIT session, receive, via one or more sensors, one or more measurements pertaining to the electromechanical machine, determine whether the one or more measurements exceed one or more of one or more corresponding thresholds, and in response to determining that the one or more measurements exceed one or more of the one or more corresponding thresholds, modify the treatment plan to cause operation of the electromechanical machine to be modified.
RELAXATION AND HEALTHCARE SOFA
A relaxation and healthcare sofa includes a sofa seat cushion. The sofa seat cushion is provided with a sofa backrest, a first sofa armrest, a second sofa armrest, a sofa base, and a control motherboard. Each of the first and second sofa armrests is provided with a first placement slot, and a first massage airbag and a body fat detection electrode are arranged in the first placement slot. The first sofa armrest is provided with a second placement slot, and a blood pressure detection device and a detection cuff are arranged in the second placement slot. An inflatable component is arranged in the sofa seat cushion, and the inflatable component is in communication with the first massage airbag and the detection cuff. The sofa base is provided with a pressure sensor. The body fat detection electrode, the inflatable component, and the pressure sensor are electrically connected to the control motherboard.
SYSTEMS AND METHODS OF SYNCHRONIZING CHEST COMPRESSIONS WITH MYOCARDIAL ACTIVITY
Systems and method for providing chest compressions to a patient during cardiopulmonary resuscitation may comprise at least one ECG sensor configured to obtain ECG signals, an automated chest compressor configured to provide chest compressions and at least one processor, memory and associated circuitry of a medical device communicatively coupled with the at least one ECG sensor and the automated chest compressor. The at least one processor may be configured to receive and analyze the ECG signals, determine, based on the analysis, whether the patient is in a condition of unconscious hypotension with organized ECG, analyze, in response to a determination that the patient is in the condition of unconscious hypotension with organized ECG, the received ECG signals to detect a QRS complex, and generate an output to apply a chest compression at a predetermined time relative to the detected QRS complex.
DYNAMIC SAUNA
Systems and methods are provided for controlling infrared radiation (IR) sources of a sauna including tuning IR wavelength-ranges and radiated power-levels of IR sources, and directing IR to locations on a user's body. In one illustrative embodiment, a sauna may be provided having adjustable IR emitters to emit IR at any wavelength resulting in a desirable radiation treatment for the sauna user. In another illustrative embodiment, a method is provided for tuning IR emitters in a sauna.