409 results about "Saturation oxygen" patented technology

A method and apparatus for non-invasively determining the blood oxygen saturation level within a subject's tissue is provided that utilizes a near infrared spectrophotometric (NIRS) sensor capable of transmitting a light signal into the tissue of a subject and sensing the light signal once it has passed through the transmitting a light signal into the subject's tissue, wherein the transmitted light signal includes a first wavelength, a second wavelength, and a third wavelength; (2) sensing a first intensity and a second intensity of the light signal, along the first, second, and third wavelengths after the light signal travels through the subject at a first and second predetermined distance; (3) determining an attenuation of the light signal for each of the first, second, and third wavelengths using the sensed first intensity and sensed second intensity of the first, second, and third wavelengths; (4) determining a difference in attenuation of the light signal between the first wavelength and the second wavelength, and between the first wavelength and the third wavelength; and (5) determining the blood oxygen saturation level within the subject's tissue using the difference in attenuation between the first wavelength and the second wavelength, and the difference in attenuation between the first wavelength and the third wavelength.

A fetal blood pulse oximetry method and apparatus using a first wavelength of light at about 655 to 705 nm and a second wavelength of light at about 820 to 900 nm. Measurements are taken through a mother's abdomen. Processing is performed to extract absorption information related to fetal arterial blood with calculation of fetal oxygen saturation from the extracted data.

A pulse oximeter system comprises a data processor configured to perform a method that combines a sigma point Kalman filter (SPKF) or sequential Monte Carlo (SMC) algorithm with Bayesian statistics and a mathematical model comprising a cardiovascular model and a plethysmography model to remove contaminating noise and artifacts from the pulse oximeter sensor output and measure blood oxygen saturation, heart rate, left-ventricular stroke volume, aortic pressure and systemic pressures.

A probabilistic digital signal processor for medical function is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data with the prior to generate a posterior probability distribution function passed to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm. For example, the probabilistic processor operates using a physical model on data from a medical meter, where the medical meter uses a first physical parameter, such as blood oxygen saturation levels from a pulse oximeter, to generate a second physical parameter not output by the medical meter, such as a heart stroke volume, a cardiac output flow rate, and/or a blood pressure.

Three light-emitting diodes (LED), each of which can emit light containing two wavelengths, setup at three different locations emit light in sequence in time interval of 0.5ms. Photoelectric detector located at position in same side of the said three LED detects light intensity of diffused from deep tissue irradiated by LED so as to calculate out optical density OD and blood-oxygen saturation of tissue to be tested. Simple structure of the system is suitable to practical request.

A method for eliminating interference to blood oxygen saturation monitoring includes steps of digitally filtering acquired red light and infrared light PPG (photoplethysmography) signals, removing low-frequency interference signals in direct current components, computing accurate direct-current component value, computing PPG signal envelope curves to extract alternating-current components, separating signals relevant with interference and serving the same as reference signals to be subjected to self-adaptive filtering, eliminating movement interference generated from aliasing of frequency and target signals in the alternating-current components, computing to obtain the accurate PPG alternating-current component value, and finally computing the blood oxygen saturation after the interference is eliminated according to the Lambert-Beer's law. The method is capable of suppressing movement interference well and computing to obtain the accurate blood oxygen saturation value. By extracting the reference signals directly from the red light and infrared light PPG signals to realize self-adaptive filtering, the method is simple in construction, simple in algorithm and small in computing number, has no need of an extra device for providing reference signals, is free of multiple self-adaptive filtering, and facilitates miniaturization and portability of monitoring equipment.

A wearable device for comprehensive bio-monitoring of physiologic metrics to determine metabolic, pulmonary and cardiac function and oxygen saturation measurements from breathing mask apparatuses. The device non-invasively monitors the physiologic profile of the subject, and is capable of detecting physiologic changes, predicting onset of symptoms, and alerting the wearer or another person or system. In some embodiments, the device comprises both a wearable sensor suite and a portable gas composition and flow analysis system. In preferred embodiments, it comprises a miniaturized non-invasive sensor suite for detecting physiologic changes to detect dangerous breathing or other health conditions. The acquired physiologic profile is used to generate alarms or warnings based on detectable physiological changes, to adjust gas delivery to the subject, alter mission profiles, or to transfer control of the craft or other duties away from a debilitated subject. The device is compact, portable, vehicle independent and non-encumbering to the subject.

The invention relates to a treatment quality management method of a breathing machine. The method comprises: step one, monitoring flowing speed and waveform information of a pipe of a breathing machine; step two, monitoring pressure and waveform information in the pipe of the breathing machine; step three, monitoring oxygen concentration information in an oxygen channel and/or breathing machine pipe; step four, monitoring oxygen flow information in the oxygen channel and sending the information to a cloud and a monitoring terminal; step five, monitoring blood oxygen saturation and pulse rate information in blood of a breathing machine user and sending the information to the cloud and the monitoring terminal; step six, monitoring CO2 pressure dividing information in alveolar of the breathing machine user or a CO2 waveform of an exhalation end in a breathing machine pipe line and sending the monitored information to the cloud and the monitoring terminal; and step seven, monitoring comparison of the terminal and a preset threshold value and determining whether treatment of the breathing machine is normal. With the method, the overall progress is improved based on real-time monitoring of feedback of equipment data and patient data.

A fluid flow sensing and bubble detecting apparatus includes a housing comprising a channel configured to receive a tube through which fluid flows; a sensor apparatus disposed within the housing, which includes a first sensor operable to measure flow rate of fluid and to detect bubbles in flowing fluid; and a temperature sensor operable to detect temperature of the flowing fluid; and a processor connected to receive fluid flow rate data obtained by the first sensor, to receive bubble detection data obtained by the first sensor, and to receive fluid temperature data obtained by the temperature sensor, wherein when a tube through which fluid flows is disposed in the channel of the housing, the first sensor measures the flow rate of the flowing fluid and detects bubbles therein, and the temperature sensor measures the temperature of the flowing fluid, and the processor calculates in a short period of time a fluid flow rate corrected for temperature. All sensors are non-invasive and have no direct contact to the fluid in the tube, which might be blood. In accordance with additional embodiments, the fluid flow rate is additionally corrected for hemoglobin or hematocrit, and the effect of oxygen saturation on the hemoglobin or hematocrit data.

The invention discloses a non-contact automatic blood oxygen saturation degree measurement system and measurement method. Measurement of a blood oxygen saturation degree is carried out through video shooting. The measurement system comprises a video collection module, a primary color component separation module, an ROI extraction module, a time-varying signal generation module, a filtering and noise reduction module and a signal calibration and analysis module. The measurement method comprises the steps: collecting a color video recording information of the wrist portion of a human body, extracting a red component image of the color video, extracting a region which includes the artery as ROI images, extracting a mean value of all pixels of each frame of ROI image as a feature value of the frame of ROI image, generating a time-amplitude waveform, conducting filtering and noise reduction on a waveform signal, conducting normalization and calibration on the filtered signal, then finding wave crests and wave troughs of the signal in a waveform period, obtaining a specific value of a wave crest value and a wave trough value, and estimating the blood oxygen saturation degree (SpO2) through the specific value. A non-contact remote physiological signal detection method is adopted, motion artifact impact in the video recording is overcome, measurement precision is high, and multiple people can be measured simultaneously.

The present invention is a wearable device for comprehensive bio-monitoring of physiologic metrics to determine metabolic, pulmonary and cardiac function and oxygen saturation measurements from breathing mask apparatuses. The device non-invasively monitors the physiologic profile of the subject, and is capable of detecting physiologic changes, predicting onset of symptoms, and alerting the wearer or another person or system. In some embodiments, the device comprises both a wearable sensor suite and a portable gas composition and flow analysis system. In preferred embodiments, it comprises a miniaturized non-invasive sensor suite for detecting physiologic changes to detect dangerous breathing or other health conditions. The system utilizes advanced fast-response sensors with improved efficiency and lifespan, and provides rapid analysis for substantially real-time monitoring of the subject's present condition to predict, mitigate and/or prevent the onset of dangerous conditions.

The invention is applicable to the technical field of information processing, and provides a detecting method for a muscle fatigue level and equipment. The method includes the following steps: obtaining a biometric signal of a user; obtaining a wavelet amplitude mean value of a hemoglobin concentration signal through a preset wavelet averaging algorithm; performing Fourier transform on a surface myoelectric signal to obtain a surface myoelectric frequency domain curve of the surface myoelectric signal, and determining a median frequency value according to the surface myoelectric frequency domain curve; leading the wavelet amplitude mean value, median frequency value and a blood oxygen saturation concentration signal mean value into a preset fatigue level calculation model, and determininga current fatigue characteristic value of the user; and based on a preset fatigue level index table, determining the fatigue level corresponding to the fatigue characteristic value. According to the method, the active state of muscle fibers of current user muscles can be determined through the myoelectric signal, and the metabolic state of the muscles can be determined through the blood oxygen signal, so that a more comprehensive judgment on the muscle fatigue state is realized, and the detection accuracy of the muscle fatigue level is improved.

The invention discloses a blue tooth wireless heart function parameter monitoring system comprising a embed blue tooth wireless patient monitor, a blue tooth switch-in terminal, and a platform of medical monitoring system, wherein, the embedded blue tooth wireless monitor is connected to the platform of medical monitoring system via the blue tooth switch-in terminal. The invention also discloses the application of said blue wire heart function parameter monitoring system for the patient side monitoring, the short-range central monitoring and the remote medical monitoring. In addition, the invention can reflects the physical status of human body in reality with lower cost and higher reliability; and the invention can collect variable physiological parameters as electro-cardio-signal, heart rate, cardiophonogram, the blood oxygen saturation and the body temperature to be wireless transmitted by the blue tooth technique. So it can help the medical staff monitor the state of patient and prevent the exacerbation of the condition.

A multi-functional bed-chair assembly for physical examination is invented to solve the problem that treatment can be executed only when multiple examination results of a patient are obtained through multiple links after a long time during practical clinical diagnosis. The bed-chair assembly is characterized by comprising a series of sensors which are composed of multiple vital sign information sensors disposed on parts of the bed-chair assembly, wherein the sensors include ECG and EEG sensors, a lung function sensor, an electronic auscultation sensor, a micro visual endoscope, a lower endoscope device, a blood pressure cuff sensor, a blood oxygen saturation degree fingerstall sensor, etc. When a patient sits on the bed-chair assembly, functions of automatic detection of heart and lung functions, ECG, EGG, a blood pressure, a blood oxygen saturation degree, a body temperature and so forth can be achieved; and examination results can be obtained in real time for definite diagnosis and treatment. Hence, the bed-chair assembly has the advantages of single-link quick examination, efficient diagnosis, timely treatment execution, etc. Except for clinical usage of diagnosis and treatment, the bed-chair assembly can also be used for tracking and detection of illness states or remote health monitoring; and the bed-chair assembly is applicable to various medical organizations, physical examination organizations, health care organizations and so forth as well as families.