The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

An electronic system for non-invasive monitoring of estrogen of a female human comprises a wearable device (1) and a processor (13, 30, 40). The wearable device (1) includes a first sensor system (101) configured to be worn in contact with the skin of the female human and to determine a level of perfusion of the female human. The processor (13, 30, 40) is configured to receive and store the level of perfusion of the female human from the first sensor system (101) for a respective point in time. The processor (13, 30, 40) is further configured to determine a change in the level of perfusion of the female human, using the levels of perfusion of the female human stored for a plurality of respective points in time. Furthermore, the processor (13, 30, 40) is configured to detect a change in estrogen level of the female human based on the change in the level of perfusion of the female human.

Pressure sensing guidewire assemblies are described herein where the guidewire assembly may be comprised of an elongate guidewire body and multiple pressure sensors secured near or at a distal end of the guidewire body. The signals obtained from the guidewire connectors and aortic sensor modules may be synchronized to minimize signal acquisition delays. The signals may be further processed to equalize the pressure waveforms by shifting the connector waveform to align correctly with the aortic module waveform and improve output signals.

Pressure sensing guidewire assemblies are described herein where the guidewire assembly may be comprised of an elongate guidewire body and multiple pressure sensors secured near or at a distal end of the guidewire body. The signals obtained from the guidewire connectors and aortic sensor modules may be synchronized to minimize signal acquisition delays. The signals may be further processed to equalize the pressure waveforms by shifting the connector waveform to align correctly with the aortic module waveform and improve output signals.

A non-invasive blood pressure (NIBP) measurement system that includes a blood pressure cuff and a non-invasive blood pressure monitor. The blood pressure cuff including an inner portion that is selectively inflatable and an outer portion that is rigid or semi-rigid. The outer portion reducing external stimuli on the inner portion. The inner portion connected to a sensor coupled to the NIBP monitor, the sensor sensing a pressure of the inner portion. The NIBP monitor receiving the sensor data and processing the sensor data to determine a blood pressure of a patient about which the blood pressure cuff has been placed.

A non-invasive blood pressure (NIBP) measurement system that includes a blood pressure cuff and a non-invasive blood pressure monitor. The blood pressure cuff including an inner portion that is selectively inflatable and an outer portion that is rigid or semi-rigid. The outer portion reducing external stimuli on the inner portion. The inner portion connected to a sensor coupled to the NIBP monitor, the sensor sensing a pressure of the inner portion. The NIBP monitor receiving the sensor data and processing the sensor data to determine a blood pressure of a patient about which the blood pressure cuff has been placed.

Abnormalities in electromagnetic fields in the heart, brain, and stomach, among other organs and tissues of the human body, can be indicative of serious health conditions. Described herein are methods, software, systems and devices for detecting the presence of an abnormality in an organ or tissue of a subject by analysis of the electromagnetic fields generated by the organ or tissue.

Abnormalities in electromagnetic fields in the heart, brain, and stomach, among other organs and tissues of the human body, can be indicative of serious health conditions. Described herein are methods, software, systems and devices for detecting the presence of an abnormality in an organ or tissue of a subject by analysis of the electromagnetic fields generated by the organ or tissue.

A system and method are provided for detecting air embolisms in lines for hemodynamic monitoring. In use, using a first sensor, one or more gas bubbles are detected within a first line for hemodynamic monitoring. In response to the detecting, a first clamp attached to the first line for hemodynamic monitoring is contracted.

A system and method are provided for detecting air embolisms in lines for hemodynamic monitoring. In use, using a first sensor, one or more gas bubbles are detected within a first line for hemodynamic monitoring. In response to the detecting, a first clamp attached to the first line for hemodynamic monitoring is contracted.