Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

This disclosure relates to methods for modifying neural activity by applying electrical current to a neural tissue, e.g., in a transcranial DC stimulation procedure (tDCS), a transcranial AC stimulation procedure (tACS), a transcranial random noise stimulation procedure (tRNS), a deep brain stimulation procedure (DBS), a transcutaneous electrical nerve stimulation procedure (TENS), or the like. Historically, computed potential, electrical field, and/or current density distributions have been used to select the locations of the electrodes that apply the electrical current. In the present disclosure, a computed charge distribution on the bounding surface of one or more sulci filled with cerebrospinal fluid (CSF) is used in selecting the electrode locations. In one embodiment, the sulcus's bounding surface is divided into pixels and each pixel's charge is determined by the pixel functioning as a sensor for the charges surrounding it, including the charges of other pixels and the charges on the electrodes.

This disclosure relates to methods for modifying neural activity by applying electrical current to a neural tissue, e.g., in a transcranial DC stimulation procedure (tDCS), a transcranial AC stimulation procedure (tACS), a transcranial random noise stimulation procedure (tRNS), a deep brain stimulation procedure (DBS), a transcutaneous electrical nerve stimulation procedure (TENS), or the like. Historically, computed potential, electrical field, and/or current density distributions have been used to select the locations of the electrodes that apply the electrical current. In the present disclosure, a computed charge distribution on the bounding surface of one or more sulci filled with cerebrospinal fluid (CSF) is used in selecting the electrode locations. In one embodiment, the sulcus's bounding surface is divided into pixels and each pixel's charge is determined by the pixel functioning as a sensor for the charges surrounding it, including the charges of other pixels and the charges on the electrodes.

An arithmetic logic unit according to an embodiment of the present technology includes: a plurality of input lines; and a multiply-accumulate operation device. Pulse signals corresponding to input values are input to the plurality of input lines. The multiply-accumulate operation device includes a plurality of multiplication units that generates, on the basis of the pulse signals input to each of the plurality of input lines, charges corresponding to multiplication values obtained by multiplying the input values by weight values, and an output unit that outputs a multiply-accumulate signal representing a sum of the multiplication values by accumulating the charges corresponding to the multiplication values generated by each of the plurality of multiplication units. A value of at least one of the input value or the weight value is limited.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.