A tissue sensing device for use with an electrosurgical knife is proposed which comprises a proximal end portion, a distal end portion and a grip portion there between. The proximal end portion is configured for attachment to a housing of the electrosurgical knife. The distal end portion is configured for movably supporting a blade of the knife. A distal end of an optical fiber is arranged at the distal end portion of the device and a proximal end of the optical fiber is connectable to an optical console, so that optical measurements can be performed at the distal end portion.

A method includes receiving physiological data associated with a user during a sleep session. The method also includes determining a sleep-wake signal for the user during the sleep session based at least in part on the received physiological data. The method also includes determining one or more sleep-related parameters for the user during the sleep session based at least in part on the sleep-wake signal. The method also includes determining that the user experienced insomnia during the sleep session based at least in part on at least one of the one or more sleep-related parameters. The method also includes identifying a type for the insomnia experienced by the user based at least in part on the one or more sleep-related parameters.

An apparatus and method for detecting a bio-signal feature are provided. The apparatus according to one aspect may include: a bio-signal acquirer configured to acquire a bio-signal; and a processor configured to generate an envelope signal of the bio-signal, and detect at least one feature of the bio-signal based on a difference between the envelope signal and the bio-signal.

Embodiments herein relate to reflective optical medical sensor devices. In an embodiment, a reflective optical medical sensor device including a central optical detector and a plurality of light emitter units disposed around the central optical detector is provided. A plurality of peripheral optical detectors can be disposed to the outside of the plurality of light emitter units. Each of the plurality of peripheral optical detectors can form a channel pair with one of the plurality of light emitter units. The reflective optical medical sensor device can also include a controller in electrical communication with the central optical detector, the light emitter units, and the peripheral optical detectors. The controller can be configured to measure performance of channel pairs; select a particular channel pair; and measure a physiological parameter using the selected channel pair. Other embodiments are also included herein.

A blood treatment machine includes a patient comfort feedback mechanism configured to be adjusted by a patient to indicate comfort levels of the patient. The machine is configured to adjust one or more treatment parameters based on the patient feedback.

A stimulation device includes an adapter component to increase the usability of the stimulation device. The adapter may be a bipolar adapter arranged to connect to the housing of the stimulation device. The adapter may include a clip having a first channel configured to receive an operative element therein and a second channel having a return operative element therein. The return operative element is in electrical communication with an electrical circuit of said stimulation control device. Alternatively, the adapter may be a percutaneous adapter comprising a connector configured to connect to an operative element of a stimulation device and a lead wire connected to the connector. A needle may be connected to the lead wire to deliver a electrical stimulation signal to a target tissue located beneath the skin of a subject patient.

Within examples, a surgical device with an embedded sensor system for performing hip replacements is described. This device mitigates fracturing of the mid metaphyseal/diaphyseal region of the femur, and ensures adequate press-fit of the component into the bone. The device relays information regarding forces experienced by the patient's bone to a separate data acquisition device and displays it on an interface. This information is used by the surgeon to determine the force present inside of the patient's bone during broaching, and can then be used to provide better care, and mitigate fractures due to overloading in the bone.

There is provided a system for monitoring transpulmonary pressure of a mechanically ventilated individual, comprising: a feeding tube, at least one esophageal body, a pressure sensor, and a memory having stored thereon code for: computing an estimate of esophageal wall pressure according to pressure in the esophageal body when inflated and contacting the inner wall of the esophagus, computing the transpulmonary pressure of the mechanically ventilated target individual according to the esophageal wall pressure, periodically inflating and deflating the esophageal body for periodic monitoring of the transpulmonary pressure of the mechanically ventilated target patient while the feeding tube is in use, and computing instructions for adjustment of parameter(s) of a mechanical ventilator that automatically ventilates the target individual according to the computed transpulmonary pressure, wherein the instructions for adjustment of parameter(s) of the mechanical ventilator are computed while the feeding tube is in place without removal of the feeding tube.

An intraoral sensor includes an image sensor, an FOP, a scintillator, and a case. The FOP includes a first main surface, a second main surface, and a plurality of lateral surfaces. The first main surface and the second main surface have a polygonal shape. An edge of the second main surface is constituted by a plurality of corner portions, and a plurality of side portions connect the corner portions adjacent to each other. The scintillator is provided on the second main surface and the plurality of lateral surfaces in such a manner that the corner portions and the ridge portions constituted by the lateral surfaces adjacent to each other are exposed.

Rather than rely on variation from physician to physician and limited imaging information for assessing plaque vulnerability of a patient, medical imaging and other information are used by a machine-implemented classifier to predict plaque rupture. Anatomical, morphological, hemodynamic, and biochemical features are used in combination to classify plaque.