Abstract:
This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate.
Abstract:
A non-invasive electronic patient monitor tracks one or more physiological parameters of a patient, such as intravascular volume index (IVI), extravascular volume index (EVI), total hemoglobin (SpHb), impedance, and/or weight. The patient monitor determines if one or more of the physiological parameters are within a predetermined range. The patient monitor activates an alarm if one or more of the physiological parameters are outside the predetermined range and indicates a patient can be experiencing edema and/or heart failure, or sepsis.
Abstract:
A non-invasive, optical-based physiological monitoring system is disclosed. In an embodiment, the non-invasive, optical-based physiological monitoring system comprises an emitter configured to emit light into a tissue site of a living patient; a detector configured to detect the emitted light after attenuation by the tissue site and output a sensor signal responsive to the detected light; and a processor configured determine, based on the sensor signal, a first physiological parameter indicative of a level of pain of the patient.
Abstract:
The present disclosure describes embodiments of a patient monitoring system and methods that include the measure and display of hemoglobin statistics. In an embodiment, total hemoglobin trending is displayed over a period of time. Statistics can include frequency domain analysis, which may be unique for each patient monitored. The total hemoglobin trending and/or statistics can further be used to help control the treatment of a patient, such as being used to control IV administration.
Abstract:
This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate.
Abstract:
A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few.Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.
Abstract:
A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.
Abstract:
A non-invasive, optical-based physiological monitoring system is disclosed. In an embodiment, the non-invasive, optical-based physiological monitoring system comprises an emitter configured to emit light into a tissue site of a living patient; a detector configured to detect the emitted light after attenuation by the tissue site and output a sensor signal responsive to the detected light; and a processor configured to determine, based on the sensor signal, a first physiological parameter indicative of a level of pain of the patient.
Abstract:
A non-invasive, optical-based physiological monitoring system is disclosed. In an embodiment, the non-invasive, optical-based physiological monitoring system comprises an emitter configured to emit light into a tissue site of a living patient; a detector configured to detect the emitted light after attenuation by the tissue site and output a sensor signal responsive to the detected light; and a processor configured determine, based on the sensor signal, a first physiological parameter indicative of a level of pain of the patient.
Abstract:
The present disclosure describes embodiments of a patient monitoring system and methods that include the measure and display of hemoglobin statistics. In an embodiment, total hemoglobin trending is displayed over a period of time. Statistics can include frequency domain analysis, which may be unique for each patient monitored. The total hemoglobin trending and/or statistics can further be used to help control the treatment of a patient, such as being used to control IV administration.