Abstract:
Methods and systems are presented for indicating the proximity of a process requirement metric to a corresponding system process requirement in a physiological monitor. Metrics are determined based on a received physiological signal, such as a PPG signal. At least one of the metrics is compared to a corresponding system process requirement, such as a threshold, which can be used to trigger a system process, such as an alarm, a recalibration, or a measurement. The proximity of the metric to the corresponding system process requirement is calculated and indicated. Indicating the proximity to a system process requirement may provide valuable information to clinicians and allow them to manually trigger system processes, such as measurements or recalibrations, when a metric is close to a system process requirement for a significant period of time.
Abstract:
Various methods and systems for blood pressure monitoring are provided. A device for monitoring blood pressure may include a memory storing instructions for receiving one or more signals representative of one or more patient parameters, wherein at least one of the one or more signals comprises a plethysmography signal. The memory also stores instructions for determining a change in a pulse shape metric of the plethysmography signal and determining a change in a blood pressure signal over a period of time based on the one or more signals. The memory also stores instructions for determining a confidence level of the blood pressure signal based at least in part on a correlation between the change in the blood pressure signal and the change in the pulse shape metric over the period of time. The device also includes a processor configured to execute the instructions.
Abstract:
Methods and systems are presented for indicating the proximity of a process requirement metric to a corresponding system process requirement in a physiological monitor. Metrics are determined based on a received physiological signal, such as a PPG signal. At least one of the metrics is compared to a corresponding system process requirement, such as a threshold, which can be used to trigger a system process, such as an alarm, a recalibration, or a measurement. The proximity of the metric to the corresponding system process requirement is calculated and indicated. Indicating the proximity to a system process requirement may provide valuable information to clinicians and allow them to manually trigger system processes, such as measurements or recalibrations, when a metric is close to a system process requirement for a significant period of time.
Abstract:
Methods and systems are presented for indicating the proximity of a process requirement metric to a corresponding system process requirement in a physiological monitor. Metrics are determined based on a received physiological signal, such as a PPG signal. At least one of the metrics is compared to a corresponding system process requirement, such as a threshold, which can be used to trigger a system process, such as an alarm, a recalibration, or a measurement. The proximity of the metric to the corresponding system process requirement is calculated and indicated. Indicating the proximity to a system process requirement may provide valuable information to clinicians and allow them to manually trigger system processes, such as measurements or recalibrations, when a metric is close to a system process requirement for a significant period of time.
Abstract:
Various methods and systems for blood pressure monitoring are provided. A device for monitoring blood pressure may include a memory storing instructions for receiving one or more signals representative of one or more patient parameters, wherein at least one of the one or more signals comprises a plethysmography signal. The memory also stores instructions for determining a change in a pulse shape metric of the plethysmography signal and determining a change in a blood pressure signal over a period of time based on the one or more signals. The memory also stores instructions for determining a confidence level of the blood pressure signal based at least in part on a correlation between the change in the blood pressure signal and the change in the pulse shape metric over the period of time. The device also includes a processor configured to execute the instructions.
Abstract:
Various methods and systems for blood pressure monitoring are provided. A device for monitoring blood pressure may include a memory storing instructions for receiving one or more signals representative of one or more patient parameters, wherein at least one of the one or more signals comprises a plethysmography signal. The memory also stores instructions for determining a change in a pulse shape metric of the plethysmography signal and determining a change in a blood pressure signal over a period of time based on the one or more signals. The memory also stores instructions for determining a confidence level of the blood pressure signal based at least in part on a correlation between the change in the blood pressure signal and the change in the pulse shape metric over the period of time. The device also includes a processor configured to execute the instructions.
Abstract:
Methods and systems are presented for indicating the proximity of a process requirement metric to a corresponding system process requirement in a physiological monitor. Metrics are determined based on a received physiological signal, such as a PPG signal. At least one of the metrics is compared to a corresponding system process requirement, such as a threshold, which can be used to trigger a system process, such as an alarm, a recalibration, or a measurement. The proximity of the metric to the corresponding system process requirement is calculated and indicated. Indicating the proximity to a system process requirement may provide valuable information to clinicians and allow them to manually trigger system processes, such as measurements or recalibrations, when a metric is close to a system process requirement for a significant period of time.
Abstract:
An indicator dilution system includes a catheter configured to deliver an indicator to a patient, an injection device configured to deliver the indicator to the catheter, and a connector coupling the injection device to the catheter. The system also includes one or more sensors configured to acquire measurements from components of the system, which may be used to determine the start and end time of the injection of the indicator to the patient. For example, the one or more sensors may be configured to acquire signals relating to a state of the connector, which may be used to determine whether the connector is in an open state to enable flow of the indicator or in a closed state to reduce flow of the indicator.
Abstract:
An indicator dilution system includes a catheter configured to deliver an indicator to a patient, an injection device configured to deliver the indicator to the catheter, and a connector coupling the injection device to the catheter. The system also includes one or more sensors configured to acquire measurements from components of the system, which may be used to determine the start and end time of the injection of the indicator to the patient. For example, the one or more sensors may be configured to acquire signals relating to a state of the connector, which may be used to determine whether the connector is in an open state to enable flow of the indicator or in a closed state to reduce flow of the indicator.
Abstract:
Various methods and systems for blood pressure monitoring are provided. A device for monitoring blood pressure may include a memory storing instructions for receiving one or more signals representative of one or more patient parameters, wherein at least one of the one or more signals comprises a plethysmography signal. The memory also stores instructions for determining a change in a pulse shape metric of the plethysmography signal and determining a change in a blood pressure signal over a period of time based on the one or more signals. The memory also stores instructions for determining a confidence level of the blood pressure signal based at least in part on a correlation between the change in the blood pressure signal and the change in the pulse shape metric over the period of time. The device also includes a processor configured to execute the instructions.