Patent classifications
A61B5/389
Stimulator handpiece for an evoked potential monitoring system
An evoked potential monitoring system including a control unit having stimulator circuitry and a probe assembly coupled to the control unit. The probe assembly includes a stimulus probe and a stimulator handpiece selectively coupled to the stimulus probe. The handpiece includes a handle, control circuitry, and a switch. The control circuitry is electrically coupled to the stimulator circuitry. The switch is electrically coupled to the control circuitry and extends to an exterior portion of the handle. In this regard, movement of the switch remotely controls the stimulator circuitry to continuously increment or decrement a stimulation energy level delivered to the stimulus probe over a series of discrete, incremental steps.
Robotic surgical inventory management
A supply tray for a surgical procedure is selected based on the surgical procedure and patient data retrieved from an electronic health records database. Multiple steps of the surgical procedure are retrieved from the electronic health records database. A message is sent to a first manipulator to move a supply from the supply tray to a staging area for performing a step. A first indication is received from a first sensor that the supply is needed at a present time. A position where the supply is needed in an operating area proximate to the staging area is determined using a second sensor. A second message is sent to a second manipulator to move the supply from the staging area to the position. A second indication is received from a third sensor that the step is complete. A third message is sent to a third manipulator to remove the supply.
CONTACT SENSOR
A contact sensor and system for incorporation within clothing and other wearable items to monitor activity at a body surface. The sensor includes a contact membrane having a body surface contacting area and one or more base layers of knitted fabric. The base layer(s) is thicker over an area congruent with the body surface contacting area of the contact membrane. As a result, the contact membrane is urged into the forming of a raised outer surface for projection against a body surface.
CONTACT SENSOR
A contact sensor and system for incorporation within clothing and other wearable items to monitor activity at a body surface. The sensor includes a contact membrane having a body surface contacting area and one or more base layers of knitted fabric. The base layer(s) is thicker over an area congruent with the body surface contacting area of the contact membrane. As a result, the contact membrane is urged into the forming of a raised outer surface for projection against a body surface.
IMPLANTABLE MEDICAL SYSTEMS, DEVICES, AND METHODS FOR AFFECTING CARDIAC FUNCTION THROUGH DIAPHRAGM STIMULATION, AND FOR MONITORING DIAPHRAGMATIC HEALTH
Devices, systems and methods provide forms of asymptomatic diaphragmatic stimulation (ADS) therapy that affect pressures within the intrathoracic cavity, including: 1) dual-pulse ADS therapy, during which a first ADS pulse is delivered during a diastolic phase of a cardiac cycle and a second ADS pulse is delivered during a systolic phase, 2) paired-pulse ADS therapy, during which a first ADS pulse is delivered, closely followed by a second ADS pulse, with the second ADS pulse functioning to extend or enhance a phase of a transient, partial contraction of the diaphragm, and 3) multiple-pulse ADS therapy, during which a stream of ADS pulses is delivered, wherein the time between pulses is based on heart rate. Devices, systems and methods also monitor electromyography (EMG) activity of the diaphragm relative to baseline activity to assess the health of a diaphragm subject to ADS therapy and to adjust ADS therapy parameters or sensing parameters.
IMPLANTABLE MEDICAL SYSTEMS, DEVICES, AND METHODS FOR AFFECTING CARDIAC FUNCTION THROUGH DIAPHRAGM STIMULATION, AND FOR MONITORING DIAPHRAGMATIC HEALTH
Devices, systems and methods provide forms of asymptomatic diaphragmatic stimulation (ADS) therapy that affect pressures within the intrathoracic cavity, including: 1) dual-pulse ADS therapy, during which a first ADS pulse is delivered during a diastolic phase of a cardiac cycle and a second ADS pulse is delivered during a systolic phase, 2) paired-pulse ADS therapy, during which a first ADS pulse is delivered, closely followed by a second ADS pulse, with the second ADS pulse functioning to extend or enhance a phase of a transient, partial contraction of the diaphragm, and 3) multiple-pulse ADS therapy, during which a stream of ADS pulses is delivered, wherein the time between pulses is based on heart rate. Devices, systems and methods also monitor electromyography (EMG) activity of the diaphragm relative to baseline activity to assess the health of a diaphragm subject to ADS therapy and to adjust ADS therapy parameters or sensing parameters.
Human-computer interactive rehabilitation system
The present invention provides a human-computer interactive rehabilitation system, which can automatically calculate rehabilitation strength suitable for the patient, so that it is not necessary to manually evaluate and adjust the parameter settings in human-computer interactive rehabilitation system when different patients use it. At the same time, the human-machine interactive rehabilitation system and the hospital end can track the rehabilitation status and intervene through the data platform at any time. The platform establishes a cloud community feedback and encouragement mechanism, and immediately transmits the rehabilitation results to the designated barriers of the patients, provides patient encouragement feedback, and strengthens the community interaction and linkage in the medical relationship.
Human-computer interactive rehabilitation system
The present invention provides a human-computer interactive rehabilitation system, which can automatically calculate rehabilitation strength suitable for the patient, so that it is not necessary to manually evaluate and adjust the parameter settings in human-computer interactive rehabilitation system when different patients use it. At the same time, the human-machine interactive rehabilitation system and the hospital end can track the rehabilitation status and intervene through the data platform at any time. The platform establishes a cloud community feedback and encouragement mechanism, and immediately transmits the rehabilitation results to the designated barriers of the patients, provides patient encouragement feedback, and strengthens the community interaction and linkage in the medical relationship.
METHOD FOR DETERMINING DEGREE OF RESPONSE TO PHYSICAL ACTIVITY
The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.
METHOD FOR DETERMINING DEGREE OF RESPONSE TO PHYSICAL ACTIVITY
The present invention discloses a method for determining a degree of response to a physical activity. Acquire a physical activity signal measured by a sensing unit in the physical activity. Determine first data of a first physical activity feature set based on the physical activity signal. Determine a recognition of the degree of response to the physical activity based on the first data of the first physical activity feature set by a mathematical model describing a relationship between the first physical activity feature set and the degree of response to a physical activity. A portion of a first mechanism of the mathematical model adopts at least one portion of a second mechanism of a first neural network model associated with the second physical activity feature set.