Systems and methods for video-based patient monitoring during surgery
The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.
1. A method for identifying one or more sites of low perfusion within a region of interest (ROI), the method comprising:
capturing a pre-cut off video sequence of the ROI;
cutting off blood supply to the ROI;
capturing a post-cut off video sequence of the ROI; and
comparing the pre-cut off video sequence of the ROI to the post-cut off video sequence of the ROI to identify one or more sites of low perfusion within the ROI, wherein comparing the pre-cut off video sequence to the post-cut off video sequence includes determining whether at least a predetermined number of adjacent pixels and/or adjacent groups of pixels in the post-cut off video sequence corresponding to a site within the ROI maintained light intensity and/or color values within a predetermined range of light intensity and/or color values of corresponding pixels in the pre-cut off video sequence.
2. The method of claim 1 , further comprising, when at least the predetermined number of adjacent pixels and/or adjacent groups of pixels in the post-cut off video sequence corresponding to the site within the ROI maintained light intensity and/or color values within a predetermined range of light intensity and/or color values of corresponding pixels in the pre-cut off video sequence, indicating the site as a low perfusion site within the ROI.
3. The method of claim 2 , wherein indicating the site as a low perfusion site within the ROI include highlighting the site on a display of the ROI and/or triggering an audio and/or visual alarm.
4. The method of claim 1 , further comprising calibrating a video-based patient monitoring system to the ROI by measuring a perfusion index of the ROI with a pulse oximeter attached on or near the ROI.
5. The method of claim 4 , wherein comparing the pre-cut off video sequence of the ROI to the post-cut off video sequence of the ROI includes comparing absolute values of light intensities and/or colors of pixels in the post-cut off video sequence to absolute values of light intensities and/or colors of corresponding pixels in the pre-cut off video sequence.
6. The method of claim 1 , wherein comparing the pre-cut off video sequence of the ROI to the post-cut off video sequence of the ROI includes calculating a relative change in light intensities and/or colors of pixels in the post-cut off video sequence from light intensities and/or colors of corresponding pixels in the pre-cut off video sequence.
7. The method of claim 1 , wherein capturing the pre-cut off and post-cut off video sequences includes capturing the pre-cut off and post-cut off video sequences using an image capture device, and wherein cutting off the blood supply to the ROI includes cutting off the blood supply to the ROI using a blood pressure cuff coupled to the image capture device.
8. The method of claim 7 , wherein capturing the post-cut off video sequence of the ROI includes automatically capturing the post-cut off video sequence after cutting off the blood supply to the ROI.
9. The method of claim 7 , wherein capturing the post-cut off video sequence of the ROI includes automatically detecting when the blood supply to the ROI has been cut off and automatically capturing the post-cut off video sequence when cutting off the blood supply to the ROI has been automatically detected.
10. The method of claim 7 , wherein capturing the pre-cut off and post-cut off video sequences includes capturing the pre-cut off and post-cut off video sequences using an image capture device, and wherein capturing the post-cut off video sequence of the ROI incudes waiting to capture the post-cut off video sequence of the ROI until a manual instruction is provided.
11. The method of claim 10 , wherein the manual instruction comprises a voice command or an input provided to a video-based patient monitoring system associated with the image capture device.
12. The method of claim 7 , wherein cutting off the blood supply to the ROI includes cutting off the blood supply to the ROI using a blood pressure cuff coupled to the image capture device, applying one or more tourniquets, or manually applying pressure on the ROI.
13. The method of claim 2 , wherein the predetermined range of light intensity and/or color values is based on the individual patient being treated, the surgical procedure being performed, or both.
14. The method of claim 1 , wherein the steps of capturing a pre-cut off video sequence of the ROI, cutting off blood supply to the ROI, capturing a post-cut off video sequence of the ROI; and comparing the pre-cut off video sequence of the ROI to the post-cut off video sequence of the ROI to identify one or more sites of low perfusion within the ROI are repeated, and the method further comprises: monitoring the progress of the ROI, the one or more identified sites of low perfusion, or both, over time to identify a deterioration in the ROI.
15. The method of claim 14 , wherein the deterioration is determined by comparing a perfusion index within the ROI and/or within the one or more sites of low perfusion during a first iteration of the method to a perfusion index with the ROI and/or within the one or more sites of low perfusion during a second iteration of the method to determine if the perfusion index falls below a predetermined threshold.
16. The method of claim 15 , wherein the predetermined threshold is based on the individual patient being treated.
17. The method of claim 14 , further comprising, when a deterioration in the ROI is identified, triggering an audio and/or visual alarm.
18. The method of claim 1 , wherein the pre-cut off video sequence is a non-cut off video sequence and capturing the non-cut off video sequence of the ROI is carried out after capturing the post-cut off video sequence of the ROI.