Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

Aspects of embodiments pertain to a perineal protection device for reducing the risk or preventing perineal tear during birth. The device may comprise a reinforcement shield that is releasably connectable to a female perineum of a subject, the reinforcement shield having a surface geometry substantially corresponding to an underlying perineal muscle structure and being configured to reduce deformation of the perineum during childbirth. Optionally, the perineal protection device further comprises a fastener arrangement for releasably securing the reinforcement shield to the female perineum. The fastener arrangement may comprise a support pad that is adhesively engageable with the subject and/or straps for strapping the reinforcement shield to the subject.

A method for estimating an ear geometry of an ear of a user with a hearing device, the hearing device comprising an ear canal microphone, an external microphone, and a receiver, includes: obtaining an external input signal using the external microphone; providing an output signal by the receiver; obtaining an ear canal microphone input signal using the ear canal microphone; and estimating the ear geometry based on the external input signal and the ear canal microphone input signal.

A blood-vessel recognizing method for recognizing blood vessels present in biological tissue, the method including: obtaining real-time Doppler spectra on the basis of time waveforms data of intensities of scattered light generated in the biological tissue due to irradiation with laser light; calculating average frequencies of the real-time Doppler spectra; correcting the calculated average frequencies on the basis of peak intensities of the real-time Doppler spectra; and determining whether or not blood vessels are present in regions of the biological tissue irradiated with the laser light on the basis of the corrected average frequencies.

A puncture assistance system provides information on a collapse state of a blood vessel to be punctured, caused by pressing action of an ultrasonic probe, when ultrasonic images of the blood vessel are acquired. A puncture assistance system 10 includes: vascular diameter detecting means 18 for detecting a vascular diameter during acquisition of the ultrasonic images from an ultrasonic diagnostic device 11; puncture assistance information generating means 12 for generating puncture assistance information for determination of whether or not puncture is allowed to be performed based on a collapse state of a blood vessel B caused by pressing action of an ultrasonic probe 15 against skin S by comparing a current vascular diameter detected by the vascular diameter detecting means 18 with a standard vascular diameter stored in advance; and a monitor 19 that presents the puncture assistance information.

The present disclosure generally relates to systems and methods and systems of a noninvasive technique for characterizing cardiac chamber size and cardiac mechanical function. A mathematical analysis of three-dimensional (3D) high resolution data may be used to estimate chamber size and cardiac mechanical function. For example, high-resolution mammalian signals are analyzed across multiple leads, as 3D orthogonal (X,Y,Z), or 10-channel data, for 30 to 800 seconds, to derive estimates of cardiac chamber size and cardiac mechanical function. Multiple mathematical approaches may be used to analyze the dynamical and geometrical properties of the data.

A method is provided for evaluating the tension or laxity of the soft tissue surrounding a patient's knee joint. Based on this evaluation, a surgeon may determine a desired resection depth for a knee arthroplasty procedure that will achieve an appropriate spacing between adjacent, articulating components of the knee joint.

Systems and methods may be used to perform robot-aided surgery. A system may include a display device and a computing device including a memory device with instructions. The instructions can cause the system to access surgical data, calculate medial and lateral gap data, calculate a recommended component set, and generate a graphical user interface. Accessing surgical data can include accessing soft tissue data indicative of at least tension in soft tissues surrounding a surgical location. The graphical user interface can include an interactive trapezoidal graphic overlaid onto a graphical representation of a distal femur and a proximal tibia. The interactive trapezoidal graphic can include a graphical representation of a medial total gap, a lateral total gap, and a recommended spacer size. The interactive trapezoidal graphic can update in response to adjustments in implant parameters to assist in surgical planning.

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.

An oximeter probe includes a probe unit or a base unit and a probe tip where the probe tip has a number of sources and detectors that can be accessed individually or in differing combinations for measuring tissue oxygen saturation at different tissue depth in tissue. A processor of the oximeter probe controls a multiplexer that is coupled to the detectors for selectively collecting measurement information from the detectors via the multiplexer. The oximeter probe is user programmable via one or more input devices on the oximeter probe for selecting the particular sources and detectors to collect measurement information from by the processor.