Orthopedic systems and methods are provided for use in preparing joints for implants. Specifically, hip preparation systems and methods are disclosed which can include a surgical orientation device. The hip preparation systems and methods can be used, for example, to orient the hip during the procedure, determine the orientation of an anatomical plane or planes, and orient a prosthetic component or components.

A laser based vascular illumination system utilizing a FPGA for detecting vascular positions, processing an image of such vasculature positions, and projecting the image thereof onto the body of a patient.

The present invention relates to a device for skin condition analysis and skin disease diagnosis. The skin condition analysis and skin disease diagnosis device according to the present invention is an all-in-one type device that can perform not only cosmetic skin condition analysis but also diagnosis of medical skin disease items.

Example methods and systems may be used intraoperatively to help surgeons perform accurate and replicable surgeries, such as knee arthroplasty surgeries. An example system combines real time measurement and tracking components with functionality to compile data collected by the hardware to register a bone of a patient, calculate an axis (e.g., mechanical axis) of the leg of the patient, assist a surgeon in placing cut guides, and verify a placement of an inserted prosthesis.

An endoscope system includes an endoscope and a processor device that includes a system controller formed of an image control processor. The system controller determines whether or not the endoscope is a length measurement-compatible endoscope in a case where the endoscope is connected to the processor device, and enables switching of a mode to a length measurement mode in a case where the endoscope is the length measurement-compatible endoscope.

An ultrasound diagnostic apparatus (1) includes an ultrasound probe (2) having a predetermined size; and a portable diagnostic apparatus main body (3), in which the diagnostic apparatus main body (3) includes a camera (25) that captures an optical image including a wound region of a subject and the ultrasound probe, an image generation unit (22) that generates an ultrasound image for the wound region, a monitor (24) that displays the optical image and the ultrasound image, an extraction unit (26) that extracts the wound region and the ultrasound probe from the optical image, and a wound size calculation unit (27) that calculates an actual size of the wound region on the basis of the predetermined size of the ultrasound probe (2) by comparing the extracted wound region and the extracted ultrasound probe (2), and displays the actual size on the monitor (24).

The present disclosure provides a three-dimensional scanner for acquiring three-dimensional shape information of an object using focusing, including a light source configured to emit light from an emission end face of a housing to the object; a sensor configured to detect light from the light source reflected by the object; a variable focus lens that is provided between the object and the sensor and that changes a focal position based on the object; and a controller configured to change the focal position of the variable focus lens in a process of acquiring the three-dimensional shape information of the object, wherein the controller is configured to change an amount of light from the light source reflected by the object and reaching the sensor based on the focal position of the variable focus lens.

A wearable sensing band is presented that generally provides a non-intrusive way to measure a person's cardiovascular vital signs including pulse transit time and pulse wave velocity. The band includes a strap with one or more primary electrocardiography (ECG) electrodes which are in contact with a first portion of the user's body, one or more secondary ECG electrodes, and one or more pulse pressure wave arrival (PPWA) sensors. The primary and secondary ECG electrodes detect an ECG signal whenever the secondary ECG electrodes make electrical contact with the second portion of the user's body, and the PPWA sensors sense an arrival of a pulse pressure wave to the first portion of the user's body from the user's heart. The ECG signal and PPWA sensor(s) readings are used to compute at least one of a pulse transit time (PTT) or a pulse wave velocity (PWV) of the user.

A lung function analysis system includes motion sensing devices each including accelerometers, gyros, battery, processor, and ireless transmitter, the processor configured to read motion data from the accelerometers and gyros and transmit the motion data over the wireless transmitter. The system includes a data collection device receiving the motion data and recording the motion data in a database; and a computing device with a lung function data analysis routine adapted to analyze the motion data to provide information useful in treating pulmonary disease. In embodiments, the lung function analysis routine includes a classifier trained on a database of motion data and diagnoses. In embodiments, the accelerometers and gyros are three-axis and/or the devices include electromyographic sensors. In embodiments, the system includes remote sensors such as a stereo camera with or without markers, millimeter-wave radar, or an ultrasonic echolocation device. In embodiments the information produced may include FEV1, FVC, FEV1/FVC and FEF25/75.

There are provided an endoscopic diagnosis apparatus, lesion portion size detection method, and a non-transitory computer-readable recording medium that enable easy detection of the size of a lesion portion using an endoscope. This object is achieved by capturing an endoscopic image by emitting light having a regular repetitive pattern onto a subject, detecting, from the endoscopic image, a region in which a repetitive pattern is different from the repetitive pattern of the emitted light, and detecting at least one of a length and area of a lesion portion by using a number of repetitive patterns in the region in which the repetitive pattern is different and a size of a unit of repetition in the repetitive pattern.