99 results about "Depth of anesthesia" patented technology

A method and system is provided for monitoring delivery of anesthesia (inhalational and intravenous) and detecting the depth of anesthesia wherein at least one anesthetic agent is absorbed in patient's bloodstream during the administration of anesthesia, which includes sampling inspired and expired gas; analyzing the gas for concentration of at least one substance indicative of the anesthetic agent using sensor technology such as free (unmetabolized) anesthetic agent or its metabolites; determining the effect of the agent based on that concentration; and determining depth of anesthesia based thereon.

A method comprising a step (10) of acquiring a patient heart activity signal, a signal shaping step (11) comprising a step (19) of converting the analog signal into a digital signal, a step (12) of sensing a periodic wave in the signal, a step (13) of calculating time intervals between the periodic waves, a step (14) of determining digital time interval series, a step (15) of calculating a fractal dimension of the digital series, and a step (16) of calculating the depth of anesthesia on the basis of the fractal dimension.

Described is a system and method which includes the following steps. A plurality of interventional agents are administered to a patient until the patient attains a predetermined plane of anesthesia. Brain waves of the patient are amplified and digitized before and after the administering step to generate a first set of digital data. The brain waves of the patient are amplified and digitized during a medical procedure to generate a second set of digital data. Separate trajectories for at least two different indices of an anesthetic state of the patient are computed during the medical procedure as a function of a comparison of the first and second sets of digital data. The indices include a Depth Index (DI), a Memory Index (MI) and a Pain Index (PI). The DI corresponds to a depth of anesthesia of the patient, the PI corresponds to a sensitivity of the patient to pain and the MI corresponds to an ability of the patient to form and store memories.

A method and system is provided for detecting the depth of anesthesia wherein at least one anesthetic agent is absorbed in a patient's bloodstream during the administration of anesthesia, which includes sampling a patient's expired breath; analyzing the breath for concentration of at least one substance indicative of the anesthetic agent using sensor technology such as free (unmetabolized) anesthetic agent or its metabolites; determining the effect of the agent based on that concentration; and determining depth of anesthesia based thereon. The method also detects endogenous compounds such as ketones and ammonia in exhaled breath as well as other pathologic organisms.

The invention discloses a method and a device for analyzing brain wave signals, which comprises steps of: (1) collecting original brain wave signals; (2) removing artifacts or noises in the original brain wave signals; (3) phase-space reconstructing of the preprocessed brain wave signals for obtaining a recurrence plot; (4) quantitative analyzing of the recurrence plot for calculating assured value DET of the recurrence plot; wherein, the artifacts in the original brain wave signals are removed by a mixed method of wavelet transformation and empirical mode decomposition. The phase-space reconstructing reconstructs phase-space vector by a method of delaying time so as to obtain the recurrence plot and calculate the ratio of recursion points on diagonal structure of the recurrence plot to all recursion points for obtaining the assured value DET. The method and the device provide good quantified indexes for doctors and accurate and real-time changing situation of depth of anesthesia during the process of the anesthesia, or are used for researching and analyzing change of brain functions, situation of sedation and analgesis, change of a cognizing function, etc.

A system and method determines from EEG signals the lack of awareness and the depth of anesthesia of a patient to whom an anesthetic agent is being administered. In particular, a log-log representation of the EEG power spectrum is converted to two intersecting lines so that the intersection point and the relative slopes can be analyzed to determine a state of awareness of a patient. This system and method may also be used in an analysis of the brain function of a sleeping individual to distinguish between different levels of non-REM sleep, REM sleep, and awakeness.

The invention discloses a monitor and a monitoring parameter display method thereof. The monitor comprises a monitoring module, wherein the monitoring module comprises at least one of an electrocardiogram module, a blood pressure module and a muscle relaxing module and a bilateral bispectral (BIS) index module. The monitor generates image data according to monitoring data output by at least one of the electrocardiogram module, the blood pressure module and the muscle relaxing module and an BIS index output by the bilateral BIS index module and displays the change curve of the BIS index with the time and the change curve of at least one of the heart rate, the blood pressure and the muscle relaxing parameter with the time in the same display interface, so that monitoring parameters have the same system time and the work clock, waveforms of monitoring parameters are consistent in the aspect of time, a doctor can combine the BIS index and other monitoring parameters to evaluate the depth of anesthesia easily, and the accuracy and the reliability of the evaluation result of the depth of anesthesia by the doctor are improved.

A method of monitoring depth of anesthesia comprises generating differential EEG signals from EEG signals acquired by electrode pairs during an anesthesia protocol, processing the differential EEG signals to determine at least one signal feature and monitoring changes in the at least one signal feature to determine depth of anesthesia. The at least one signal feature comprises at least one of normalized power of the differential EEG signals acquired from at least one of the electrode pairs, and wavelet bicoherence between the differential EEG signals acquired from at least two of the electrode pairs.

The invention discloses a DOA (depth of anesthesia) monitoring device which comprises an EEG (electroencephalogram) collecting electrode, a pre-arrangement module, a Fourier transform module, an Ac (activity of cortex) calculation module, an As (activity of subcortex) calculation module, a balanced DOA calculation module and a display module, wherein the pre-arrangement module comprises a pre-amplification module and an analog-digital conversion module which are connected sequentially; the Ac calculation module receives output data of the Fourier transform module and calculates subparameters of Ac; the As calculation module receives output data of the Fourier transform module and calculates subparameters of As; the balanced DOA calculation module receives subparameters output by the Ac calculation module and the As calculation module and obtains a balanced DOA with a weighted sum method; and the display module displays the balanced DOA. On the premise that the DOA monitoring accuracy in the state of pure inhalation or intravenous general anesthetics is reserved, the DOA monitoring device has the advantage that the DOA monitoring is more accurate in the state of opioid medicine composite inhalation or intravenous general anesthetics.

A patient monitoring system to measure the depth of anesthesia, and to provide a physician warning during a surgical procedure.

A method for monitoring the depth of anesthesia is provided for detecting the conscious state of one being anesthetized in order to facilitate an anesthesiologist to predict exactly the dosage of an anesthetic required. At first, an original electroencephalogram (EEG) is taken from one being tested. Then, the original electroencephalogram is analyzed by approximate entropy to obtain its approximate entropy value. Next, the approximate entropy value is multiplied by 1000 / 17, and the corrected value is assumed as the predicted value of depth of anesthesia. The predicted value of depth of anesthesia represents degree of the conscious state or the depth of anesthesia for the one being tested. The higher the predicted depth of anesthesia value, the more conscious the one being tested is, i.e., in a shallower depth of anesthesia. On the other hand, the lower the predicted depth of anesthesia value, the less conscious the one being tested is, i.e., in a deeper depth of anesthesia.

A method for monitoring the depth of anesthesia is provided for detecting the conscious state of one being anesthetized in the recovery phase or induction phase of anesthesia course in order to facilitate an anesthesiologist to predict exactly the dosage of an anesthetic required. At first, an original electroencephalogram (EEG) is taken from one being tested. Then, the original electroencephalogram is analyzed by approximate entropy to obtain its approximate entropy value. Next, the approximate entropy value is multiplied by 1000 / 17, and the corrected value is assumed as the predicted value of depth of anesthesia. The predicted value of depth of anesthesia represents degree of the conscious state or the depth of anesthesia for the one being tested. The higher the predicted depth of anesthesia value, the more conscious the one being tested is, i.e., in a shallower depth of anesthesia. On the other hand, the lower the predicted depth of anesthesia value, the less conscious the one being tested is, i.e., in a deeper depth of anesthesia.

The invention mainly relates to an anesthesia machine, which is formed by a frame, a gas delivery system, an anesthetic evaporator, a respiration loop, a respirator, a safety monitoring system and a waste gas scavenging system, wherein the gas conveying system, the anesthetic evaporator, the respiration loop, the respirator, the safety monitoring system and the waste gas scavenging system are arranged on the frame. An object storage drawer is arranged above the frame, the gas delivery system and the anesthetic evaporator are arranged above the object storage drawer and are connected with each other, and the anesthetic evaporator is connected with the respiration loop connected with the respirator. The safety monitoring system is arranged above the respiration loop, the waste gas scavenging system is further connected with the position below the respiration loop, and the safety monitoring system comprises a data acquisition unit, a communication unit and a computer. The anesthesia machine has a simple and reasonable structure, can monitor depth of anesthesia, improves safety and effectiveness of the anesthesia of patients, and is suitable for popularization and application.

A system and method provides closed-loop sedation, anesthesia, or analgesia by monitoring EEG and automatically adjusting the delivery of sedative, anesthetic, and / or analgesic drugs to maintain that desired or predetermined level of cortical at all echelons of care. The system and method further monitor the subject's cortical activity to detect occurrence of burst suppression which can be indicative of unsafe depth of anesthesia or sedation. Further, the system and methods provide for alteration or cessation of the administration of anesthesia or sedation based on the occurrence of burst suppression to mitigate harm to the subject.

A method for monitoring the depth of anesthesia is provided for detecting the conscious state of one being anesthetized in the recovery phase or induction phase of anesthesia course in order to facilitate an anesthesiologist to predict exactly the dosage of an anesthetic required. At first, an original electroencephalogram (EEG) is taken from one being tested. Then, the original electroencephalogram is analyzed by approximate entropy to obtain its approximate entropy value. Next, the approximate entropy value is multiplied by 1000 / 17, and the corrected value is assumed as the predicted value of depth of anesthesia. The predicted value of depth of anesthesia represents degree of the conscious state or the depth of anesthesia for the one being tested. The higher the predicted depth of anesthesia value, the more conscious the one being tested is, i.e., in a shallower depth of anesthesia. On the other hand, the lower the predicted depth of anesthesia value, the less conscious the one being tested is, i.e., in a deeper depth of anesthesia.

The invention discloses a multifunctional anesthesia monitor including a housing. A display screen is arranged on the upper part of the front side of the housing. An operation press key is arranged on the housing below the display screen. A port is arranged in the front end face of the housing. An alarm and an indicating lamp are arranged at the left side of the upper part of the housing. A light source probe and a temperature sensor are arranged on the left side face of the housing. A brain electricity function monitoring device and an electrocardiogram lead wire are arranged at the right side of the housing. The input terminal of the light source probe is connected with the output terminal of a time sequence control module electrically. The input terminal of the time sequence control module is connected with the output terminal of the single-chip microprocessor electrically. According to the invention, regular monitoring, depth of anesthesia monitoring and muscle relaxation monitoring required by modern anesthesia are implemented by using the multifunctional anesthesia monitor. Besides, the multifunctional anesthesia monitor integrates brain electricity monitoring and a heart rate variability value and a blood pressure fluctuating value, and can send alarm timely when the fluctuation of a monitoring value of a patient during the operation is too large. The analysis is comprehensive and the obtained data is more comprehensive and accurate, the safety of a surgical patient in the stage of narcosis is ensured well.

Described is a system and method which includes the following steps. A plurality of interventional agents are administered to a patient until the patient attains a predetermined plane of anesthesia. Brain waves of the patient are amplified and digitized before and after the administering step to generate a first set of digital data. The brain waves of the patient are amplified and digitized during a medical procedure to generate a second set of digital data. Separate trajectories for at least two different indices of an anesthetic state of the patient are computed during the medical procedure as a function of a comparison of the first and second sets of digital data. The indices include a Depth Index (DI), a Memory Index (MI) and a Pain Index (PI). The DI corresponds to a depth of anesthesia of the patient, the PI corresponds to a sensitivity of the patient to pain and the MI corresponds to an ability of the patient to form and store memories.

The invention discloses an anesthesia depth monitor adopting multiple monitoring indexes. The anesthesia depth monitor is characterized by comprising an acquisition module, wherein an output end of the acquisition module is connected with an input end of an amplification module, an output end of the amplification module is connected with an input end of a denoising module, an output end of the denoising module is connected with an input end of a conversion module, an output end of the conversion module is connected with an input end of an MCU (microprogrammed control unit), the input end of the MCU is further connected with an output end of an analogue simulation module, an input end of the analogue simulation module is connected with an individual difference parameter input module, and an output end of the MCU is connected with a display module and an injection module. According to the anesthesia depth monitor adopting multiple monitoring indexes, multiple monitoring indexes are adopted, the individual parameter difference can be corrected, different acquisition modules can be selected according to actual demands of different patients, monitoring results of the acquisition modules can be mutually verified, and accordingly, the dosage of infused anesthetic is ensured to be adapted to different individuals.

The invention discloses an anesthesia and consciousness depth monitoring system and a monitoring method. The system comprises an anesthesia depth sensor and a cerebral blood oxygen saturation sensor which are worn on the head, and a main controller which is connected with the two sensors through cables. Wherein the main controller comprises an electroencephalogram signal acquisition module, an infrared light transceiving module, a central processing unit, a display output module and a user input module; the central processing unit is used for sending a synchronous instruction acquisition signal to the electroencephalogram signal acquisition module and the infrared light transceiving module; receiving the electroencephalogram acquisition data processed by the electroencephalogram signal acquisition module and the cerebral blood oxygen acquisition data processed by the infrared light transceiving module; and the central processing unit performs synchronous data processing on the electroencephalogram acquisition data and the cerebral blood oxygen acquisition data to obtain electroencephalogram and cerebral blood oxygen saturation synchronous data, and displays a numerical value or a trend curve on the display output module. Electroencephalogram and cerebral blood oxygen collection is synchronized, and synchronous collection and analysis and real-time extraction of related indexesare truly achieved.

A system and method determines from EEG signals the lack of awareness and the depth of anesthesia of a patient to whom an anesthetic agent is being administered. In particular, a log-log representation of the EEG power spectrum is converted to two intersecting lines so that the intersection point and the relative slopes can be analyzed to determine a state of awareness of a patient. This system and method may also be used in an analysis of the brain function of a sleeping individual to distinguish between different levels of non-REM sleep, REM sleep, and awakeness.

Provided is an integrated depth-of-anesthesia / cerebral-oxygen-saturation detection sensor. Particularly, the depth-of-anesthesia / cerebral-oxygen-saturation detection sensor includes a strap and a sensing unit that is arranged on the strap, and sensing unit includes a depth-of-anesthesia sensor and a cerebral oxygen saturation sensor that are arranged on the same plane. Therefore, it is possible tosimultaneously measure a depth of anesthesia and cerebral oxygen saturation with a single detection sensor, so that it is possible to reduce cost.

Based on an ion mobility spectrometry technology, the invention design designs an ion mobility spectrometer for simultaneously monitoring propofol and sulfur hexafluoride in expired air, which is used for noninvasive online monitoring on a depth of anesthesia and a heart blood output of an intraoperative patient.

Cell or tissue permeability to electrical signals can be used to determine the depth of anesthesia of a patient. A method and device is presented to measure, record and control the effects of anesthesia or analgesics on humans and / or animals. Based on impedance values of tissues measured at single, multiple, or a domain of frequencies, the system detects tissue permeability alterations as determined by electromagnetic, impedance, and / or dielectric spectroscopy. The system measures the permeability of tissues to electrical signals and correlates these values to the depth of anesthesia or sedation level of a certain tissue or individual. This method and device can be used to measure the effects of anesthesia or analgesic for either local or systemic administration.

The invention discloses an in-depth evaluation method for preoperative and intraoperative anesthesia based on brain responses of pain. The method comprises the following steps: inducing pains of nonsurgical stimuli to a patient before anesthesia; recording brain electrical response signals generated by pain stimuli each time, verbally appraising pain intensity and the maximal pain stimulus energy E0 corresponding to the pain intensity; enhancing the signal-noise ratio of brain electrical signals and extracting variation parameters of a incubation period and amplitude of N2 and P2 brain responses; setting up a linear model between pain intensity and N2 and P2 brain response parameters; and anaesthetizing the patient, applying a nonsurgical-induced laser stimulus nonsurgical stimuli on the body of the anaesthetized patient, wherein the nonsurgical-induced laser stimulus nonsurgical stimuli is the maximal laser stimulus energy E0 obtained before anesthesia and enhancing the signal-noise ratio of brain electrical signals generated by laser simulation, extracting variation parameters of the incubation period and amplitude of N2 and P2 brain responses, predicting pain intensity obtained by calculations and evaluating preoperative and intraoperative anesthesia according to the pain intensity in an in-depth manner. The in-depth evaluation method for preoperative and intraoperative anesthesia based on brain responses of pain has the following beneficialeffects: the measurement time is controlled within two seconds; and the in-depth evaluation method can be well applied to preoperative and intraoperative detection of local anesthesia and general anesthesia.

The invention belongs to the technical field of small animal anesthesia and relates to a simple economical small animal inhalation anesthesia machine which comprises a gas steel bottle, a gas adjusting valve, a three-way pipe I, a gas flow meter I, a gas flow meter II, an isoflurane gas volatilization bottle, a three-way pipe II, an adjustable three-way pipe, an anaesthetic mask, an animal body constant temperature system, an anesthesia induction box and a gas recycling bottle. The gas steel bottle is connected with the gas adjusting valve, the three-way pipe I, the gas flow meter I, the gas flow meter II, the isoflurane gas volatilization bottle, the three-way pipe II, the adjustable three-way pipe, the anaesthetic mask, the animal body constant temperature system, the anesthesia induction box and the gas recycling bottle in sequence. Using results show that the simple economical small animal inhalation anesthesia machine is simple and reasonable in structure, various parts are fixed and combined in a coordinating mode, small animals can be subjected to anesthesia control in short time or long time, accurate anesthesia depth is guaranteed, safety is good, after operation, the morbidity and the mortality of the small animals are low, and the operation success rate is high.

The invention discloses a device applied to anesthesia depth monitoring and anesthetic injection and relates to the technical field of medical equipment. The device specifically comprises an operating table, a monitor, an arc-shaped plate and a moving frame, wherein guiding grooves are formed in bottoms of the two sides of the operating table, rollers are in rolling connection with interior of the guiding grooves, single ends, far away from the guiding grooves, of the rollers are fixedly connected with the end face of the moving frame, and shifting chutes are formed in bottoms of internal walls of the moving frame. Through arranging the monitor, an injection unit and a motor B, the effect of accurately controlling an anesthetic injection amount is achieved, and the problem that anesthetic injection is hardly controlled relatively accurately due to the fact that anesthetic injection for a human body is achieved through manually operating an anesthetic injection unit, the amount of an anesthetic is difficult to control due to injection by this method, the anesthetic stresses of different people are different, the amount of the anesthetic is required to be adjusted through uninterruptedly observing an anesthesia depth monitor, and the error range of manual regulation on the amount of the anesthetic is relatively large is solved.

A method and apparatus for estimating depth of anesthesia includes steps of acquiring an ECG signal from a subject, quantifying the regularity of respiratory sinus arrhythmia (RSA) from the ECG signal to obtain an index, and estimating depth of anesthesia based on the index.