Patent classifications
A61B5/0806
RESPIRATORY VOLUME MEASUREMENT
According to various, but not necessarily all, embodiments there is provided a respiratory volume measurement system. The respiratory volume measurement system comprises: at least one motion sensor and a machine learning system. The at least one motion sensor is configured to be placed on a chest wall of a subject to produce at least one sensor output signal dependent upon respiratory motion of the chest wall of the subject. The machine learning system is configured to receive at least the sensor output signal as an input and to produce at least a respiration measurement output, different to the sensor output signal, that provides at least a measure of respiration volume of the subject.
OPIOID OVERDOSE MONITORING
An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information
Respiratory Rate Prediction from a Photoplethysmogram
A technology for obtaining a respiratory rate from a photoplethysmogram (PPG) signal. In one example, an artificial neural network model can be trained to predict a respiratory rate using a training dataset containing PPG data. The artificial neural network model can include a first series of convolutional layers to remove artifacts from a PPG signal, a fast Fourier transform (FFT) layer to convert the PPG signal to PPG frequency representations, and a dense layer to decode the PPG frequency representations to respiratory rate predictions. After training the artificial neural network model, PPG data generated by a pulse oximeter monitor can be obtained, and the PPG data can be input to the artificial neural network model. The artificial neural network model outputs a respiratory rate prediction, wherein the respiratory rate prediction represents the respiratory rate obtained from the PPG signal.
WHOLE BODY PLETHYSMOGRAPH SYSTEMS AND METHODS TO CONTROL THE GAS TIGHTNESS INSIDE A CABINET OF A WHOLE BODY PLETHYSMOGRAPH
A whole-body-plethysmograph 11 for examination of a lung function of subjects. The whole-body-plethysmograph has a cabinet 12 with a cabinet opening 13 and a cabinet closure 14 for gas-tight sealing of the cabinet opening 13. A pressure control device 15 is provided, and the pressure control device 15 is configured to provide a desired negative gas pressure inside the cabinet 12 to seal the cabinet opening 13 by the cabinet closure 14. Furthermore, methods to control the gas tightness inside a cabinet 12 of the whole-body-plethysmograph are disclosed.
System and method for monitoring respiratory rate and oxygen saturation
A method and system for monitoring respiratory rate of a patient is provided. An example system includes a wearable device configured to be disposed around a wrist of the patient. The wearable device may include a gyroscope to measure a gyroscope signal indicative of a motion of the patient. The system may further include a processor communicatively coupled to the gyroscope. The processor can be configured to perform a spectral analysis of the gyroscope signal to obtain a spectrum in a pre-determined range. The pre-determined range may cover a normal respiratory rate range. The processor can be further configured to determine a position of a peak in the spectrum to obtain a value for the respiratory rate. The processor can be further configured to provide, based on the value of the respiratory rate, a message regarding a health status of the patient.
SYSTEM AND METHOD FOR DETERMINING SLEEP STAGES BASED ON NON-CARDIAC BODY SIGNALS
A non-invasive method and system are provided for determining a sleep stage of a subject. The method includes obtaining one or more respiratory signals, the one or more respiratory signals being an indicator of a respiratory activity of the subject, extracting features from the one or more respiratory signals, and determining a sleep stage of the subject based on the extracted features.
Method and device for in-home sleep and signal analysis
The present invention provides a method of conducting a sleep analysis by collecting physiologic and kinetic data from a subject, preferably via a wireless in-home data acquisition system, while the subject attempts to sleep at home. The sleep analysis, including clinical and research sleep studies and cardiorespiratory studies, can be used in the diagnosis of sleeping disorders and other diseases or conditions with sleep signatures, such as Parkinson's, epilepsy, chronic heart failure, chronic obstructive pulmonary disorder, or other neurological, cardiac, pulmonary, or muscular disorders. The method of the present invention can also be used to determine if environmental factors at the subject's home are preventing restorative sleep.
Opioid overdose monitoring
An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.
Opioid overdose monitoring
An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.
DEVICES AND METHODS FOR THE MANAGEMENT AND PREVENTION OF HERNIA AND OTHER MUSCULOSKELETAL INJURIES
Systems and methods are provided for mitigating and/or preventing a hernia using a wearable device worn by a user such that an output device is positioned at a predetermined location corresponding to a target hernia mitigation site on the user's body. One or more physical parameters of the user are monitored to identify when the user is about to perform a predetermined physical activity, and the output device is activated to provide an output to mitigate a hernia or prevent a hernia from occurring at the mitigation site when the predetermined activity is performed.