Cloud-based physiological monitoring system
A cloud-based physiological monitoring system has a sensor in communications with a living being so as to generate a data stream generally responsive to a physiological condition of the living being. A monitor receives the data stream from the sensor and transmits the data stream to a cloud server. The cloud server processes the data stream so as to derive physiological parameters having values responsive to the physiological condition. The cloud server derives a medical index based upon a combination of the physiological parameters. The cloud server communicates the medical index to the monitor, which displays the medical index.
1. A cloud-based physiological monitoring system comprising:
one or more sensors in communication with a patient so as to generate one or more data streams responsive to changes in one or more physiological conditions of the patient, wherein the one or more sensors include at least:
an optical sensor configured to provide a first data stream responsive to at least one of: pulsatile blood flow or a blood constituent parameter, and
a blood pressure sensor configured to provide a second data stream responsive to blood pressure;
one or more monitors configured to receive the data streams from the sensors; and a cloud server,
wherein the one or more monitors are configured to:
determine whether communication with the cloud server is available or not available;
responsive to determining that communication with the cloud server is not available, temporarily process the data streams locally; and
responsive to determining that communication with the cloud server is available, transmit at least indications of the data streams to the cloud server,
wherein the cloud server is configured to:
process the data streams, including at least the first and second data streams, so as to derive a plurality of parameters and associated parameter measurements responsive to the changes in the one or more physiological conditions, wherein:
a first parameter of the plurality of parameters is indicative of hemoglobin (Hgb) of the patient,
a second parameter of the plurality of parameters is indicative of blood urea nitrogen (BUN) of the patient,
a third parameter of the plurality of parameters is indicative of creatinine (Cr) of the patient,
a fourth parameter of the plurality of parameters is indicative of a plethysmograph variability index (PVI) of the patient, and
a fifth parameter of the plurality of parameters is indicative of a blood pressure of the patient;
determine that the required parameters for deriving a medical index include the first, second, third, fourth, and fifth parameters, and that the first, second, third, fourth, and fifth parameters are available for deriving the medical index; and
in response to determining that most-recent parameter measurements associated with the first, second, third, fourth, and fifth parameters satisfy a time frame mismatch tolerance associated with the medical index:
determine trends in the first, second, third, fourth, and fifth parameters, the trends indicative of changes in the respective first, second, third, fourth, and fifth parameters over time;
derive the medical index based upon a combination of the trends in the first, second, third, fourth, and fifth parameters, the medical index indicating a medical condition of the patient;
communicate the medical index to at least one of the one or more monitors; and
cause the at least one monitor to display the medical index.
2. The cloud-based physiological monitoring system according to claim 1 , wherein the medical index relates to at least one of: dehydration, renal insufficiency, over hydration, gastrointestinal bleeding, congestive heart failure exacerbation, or cardiovascular risk.
3. The cloud-based physiological monitoring system according to claim 1 , wherein the cloud server is further configured to:
in response to determining that the most-recent parameter measurements associated with the first, second, third, fourth, and fifth parameters do not satisfy the time frame mismatch tolerance:
not derive the medical index; and
cause the one or more monitors to not display the medical index.
4. The cloud-based physiological monitoring system according to claim 3 , wherein causing the one or more monitors to not display the medical index further includes displaying dashes in a location on the monitor where the medical index otherwise would be displayed.
5. A physiological monitoring method comprising:
receiving, from one or more sensors in communication with a patient and via a monitor, sensor data responsive to changes in one or more physiological phenomena of the patient, wherein the one or more sensors include at least an optical sensor and an air-cuff sensor;
determining, by the monitor, whether communication with a cloud server is available or not available;
responsive to determining that communication with the cloud server is not available, temporarily processing the data streams locally at the monitor;
responsive to determining that communication with the cloud server is available, transmitting at least indications of the data streams to the cloud server;
processing, by the cloud server, the sensor data so as to derive a plurality of parameters and associated parameter measurements responsive to the changes in the one or more physiological phenomena, wherein:
a first parameter of the plurality of parameters is indicative of hemoglobin (Hgb) of the patient,
a second parameter of the plurality of parameters is indicative of blood urea nitrogen (BUN) of the patient,
a third parameter of the plurality of parameters is indicative of creatinine (Cr) of the patient,
a fourth parameter of the plurality of parameters is indicative of a plethysmograph variability index (PVI) of the patient, and
a fifth parameter of the plurality of parameters is indicative of a blood pressure of the patient;
determining, by the cloud server, that the required parameters for deriving a medical index include the first, second, third, fourth, and fifth parameters, and that the first, second, third, fourth, and fifth parameters are available for deriving the medical index; and
in response to determining that most-recent parameter measurements associated with the first, second, third, fourth, and fifth parameters satisfy a time frame mismatch tolerance associated with the medical index:
determining, by the cloud server, trends in the first, second, third, fourth, and fifth parameters, the trends indicative of changes in the respective first, second, third, fourth, and fifth parameters over time;
deriving, by the cloud server, the medical index responsive to a combination of the trends in the first, second, third, fourth, and fifth parameters, the medical index indicating a medical condition of the patient;
communicating, by the cloud server, the medical index to the monitor; and
causing display of the medical index on the monitor.
6. The physiological monitoring method according to claim 5 further comprising:
causing display of the medical index on a smart cellular telephone.
7. The physiological monitoring method according to claim 6 , wherein the medical index includes an indication of at least one of: dehydration, renal insufficiency, over hydration, gastrointestinal bleeding, congestive heart failure exacerbation, or cardiovascular risk.
8. The physiological monitoring method according to claim 5 further comprising:
in response to determining that the most-recent parameter measurements associated with the first, second, third, fourth, and fifth parameters do not satisfy the time frame mismatch tolerance:
not deriving the medical index; and
causing the monitor to not display the medical index.
9. The physiological monitoring method according to claim 5 , wherein causing the monitor to not display the medical index further includes causing the monitor to display dashes in a location on the monitor where the medical index otherwise would be displayed.