Optical-based physiological monitoring system
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.
1. A physiological monitoring method comprising:
receiving, from a non-invasive optical sensor, a first sensor signal responsive to physiological characteristics of a patient;
receiving, from a bio-potential sensor, a second sensor signal responsive to physiological characteristics of the patient;
receiving, from an additional sensor, at least a third sensor signal;
determining, by a processor and based on the first sensor signal, a first physiological parameter indicative of a level of pain of the patient;
determining, by the processor and based on the second sensor signal, a second physiological parameter indicative of a depth of consciousness of the patient;
determining, by the processor and based on at least one of the first sensor signal, the second sensor signal, or the third sensor signal, one or more additional physiological parameters indicative of at least one of the level of pain of the patient or the depth of consciousness of the patient, wherein the one or more additional physiological parameters include at least one of: an ECG, a respiration rate, a respiratory air flow, a heart rate, or a blood pressure; and
determining, by the processor and based on the first physiological parameter, the second physiological parameter, and the one or more additional physiological parameters, a combined index indicative of both the level of pain and the depth of consciousness of the patient.
2. The physiological monitoring method of claim 1 , wherein the first physiological parameter comprises a perfusion index.
3. The physiological monitoring method of claim 2 , wherein the second physiological parameter comprises an EEG.
4. The physiological monitoring method of claim 3 , wherein the combined index is further determined based on an ECG of the patient.
5. The physiological monitoring method of claim 4 , wherein the ECG is further indicative of the level of pain of the patient.
6. The physiological monitoring method of claim 5 further comprising:
determining, by the processor and based on the first physiological parameter and the ECG of the patient, a combined indication of the level of pain of the patient.
7. The physiological monitoring method of claim 1 , wherein the non-invasive optical sensor, the bio-potential sensor, and the additional sensor are in communication with a monitor via a single cable.
8. The physiological monitoring method of claim 1 further comprising:
outputting feedback to a drug administrator configured to provide a pharmacological agent to the patient, wherein the feedback is outputted to the drug administrator so as to regulate administration of the pharmacological agent for a desired effect, wherein the feedback includes the combined index indicative of both the level of pain and the depth of consciousness of the patient.
9. The physiological monitoring method of claim 1 further comprising:
providing, by the processor, a control output to at least one of drug-infusion equipment or medical gas ventilation equipment based at least in part on the combined index indicative of both the level of pain and the depth of consciousness of the patient.
10. The physiological monitoring method of claim 1 further comprising:
generating, by the processor, a displayable output including a visual indication of the combined index indicative of both the level of pain and the depth of consciousness of the patient.
11. The physiological monitoring method of claim 10 , wherein the visual indication comprises at least one of a number, a color, or a graph.