Provided according to embodiments of the present invention are methods of monitoring individuals that include securing a photoplethysmography probe to at least one of a pre-auricular region and a post-auricular region of the individual and obtaining photoplethysmography signals from the photoplethysmography probe. Photoplethysmography probes and helmets related to such methods are also described herein.

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

The invention provides methods for identifying a patient as likely to have an onset of massive hemorrhage. In one embodiment, the invention provides a method for identifying a patient as likely to have an onset of massive hemorrhage, the method comprising measuring at least one of first coagulation characteristic parameter reflective of a clotting time in a sample of blood of the patient, a second coagulation characteristic parameter reflective of clot formation in a sample of blood of the patient using the viscoelastic assay to obtain a second result; a third coagulation characteristic parameter reflective of clot strength in a sample of blood of the patient using the viscoelastic assay to obtain a third result; and a fourth coagulation characteristic parameter reflective of clot lysis in a sample of blood of the patient using the viscoelastic assay to obtain a fourth result; wherein, a positive for at least one of the first result, second result, third result and fourth result identifies the patient as likely to have an onset of massive hemorrhage.

The non-invasive blood glucose level measurement device (1) is provided with a pulse waveform measurement unit (2) having FBG sensors (4) for measuring an acceleration pulse wave of a test subject; and a data-processing unit (3) for calculating the blood glucose level of the test subject at the point in time of measurement of the acceleration pulse wave, from waveform information of the measured acceleration pulse wave, on the basis of a predetermined correlation. The correlation is a calibration curve constructed by carrying out a PLS regression analysis, using the blood glucose level measured by a non-invasive blood glucose method as the objective variable, and a simultaneously-measured acceleration pulse wave as the explanatory variable. A non-invasive blood glucose level measurement device capable of measuring blood glucose level at about the same measurement accuracy as an invasive blood glucose measurement device can be achieved thereby.

An intravascular sensor device can be used to guide treatment of a diseased blood vessel in the body of a patient. In some examples, the intravascular sensor device includes a pressure sensor and an ultrasound transducer. The intravascular sensor device is used to measure a pressure within the diseased blood vessel and acquire an ultrasound image of the diseased blood vessel. The pressure may be measured during hyperemic blood flow that is caused by a pharmacologic vasodilator drug. The measured pressure can be used to calculate a fractional flow reserve value. The ultrasound image can be used to determine a physical dimension of the blood vessel, such as cross-sectional area. The fractional flow reserve value and physical dimensions of the blood vessel can be used to optimize patient treatment.

Disclosed herein are methods and systems for clinical practice of medical imaging on patients with metal-containing devices, such as implanted cardiac devices. In particular, Disclosed herein are methods and systems for improved late gadolinium enhancement (LGE) MRI for assessing myocardial viability for patients with implanted cardiac devices, i.e., cardiac pacemakers and implantable cardiac defibrillators.

A system having a processor obtain a digital hemodynamic data from a hemodynamic sensor, obtain one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data, derive differential parameters based on the one or more vital sign parameters, generate combinatorial parameters using the one or more vital sign parameters and the differential parameters, determine a risk score corresponding to a probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, and invoke a sensory alarm if the risk score satisfies a predetermined risk criterion.

An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.

A photoacoustic image evaluation apparatus includes a processor configured to acquire a first photoacoustic image generated at a first point in time and a second photoacoustic image generated at a second point in time before the first point in time, the first and second photoacoustic images being photoacoustic images generated by detecting photoacoustic waves generated inside a subject, who has been subjected to blood vessel regeneration treatment, by emission of light into the subject; acquire a blood vessel regeneration index, which indicates a state of a blood vessel by the regeneration treatment, based on a difference between a blood vessel included in the first photoacoustic image and a blood vessel included in the second photoacoustic image; and display the blood vessel regeneration index on a display.

An apparatus for assessing the severity of stenosis in a blood vessel includes an elongate body including a distal portion and a centering assembly. The centering assembly is actuatable to selectively center the elongate body in the vessel. A pressure sensor is disposed adjacent the centering assembly and is configured to detect fluid pressure in the vessel. A processing system receives the measured pressure from the pressure sensor, receives data representing the cross-sectional area of the vessel, receives data representing the size of the distal portion, calculates a offset correlation based on the size of the distal portion and based on the size of the vessel, and calculates a fractional flow reserve (FFR) for the vessel as an index of stenosis severity taking into account the offset correlation and the measured fluid pressure from the pressure sensor.