Patent classifications
A61B5/0285
MEDICAL APPARATUS
A medical apparatus includes a laser light source for blood vessel sensing configured to irradiate illumination light for detecting a blood vessel, a photodetector configured to detect return light of the illumination light, an optical-characteristic processing circuit configured to calculate, based on a detection result of the return light, at least one of information concerning scattering of blood cells in the blood vessel and information concerning absorption by blood, a blood-vessel-characteristic determination circuit configured to determine a characteristic of the blood vessel based on an optical characteristic calculation result, and a laser light source for guide configured to irradiate, based on the determined characteristic of the blood vessel, notification light on an irradiation near region including an irradiation region.
MEDICAL APPARATUS
A medical apparatus includes a laser light source for blood vessel sensing configured to irradiate illumination light for detecting a blood vessel, a photodetector configured to detect return light of the illumination light, an optical-characteristic processing circuit configured to calculate, based on a detection result of the return light, at least one of information concerning scattering of blood cells in the blood vessel and information concerning absorption by blood, a blood-vessel-characteristic determination circuit configured to determine a characteristic of the blood vessel based on an optical characteristic calculation result, and a laser light source for guide configured to irradiate, based on the determined characteristic of the blood vessel, notification light on an irradiation near region including an irradiation region.
DEVICE AND METHOD FOR MONITORING THE STATE OF HEALTH OF A PATIENT
The invention relates to a device (150) for monitoring the state of health of a patient (100), wherein the device (150) comprises an input interface (160) for inputting a first pressure signal (145) and a second pressure signal (155) and a processing unit (165) for processing the first pressure signal (145) and the second pressure signal (155) in order to determine a processing value (170) in order to monitor the state of health of the patient (100) based the processing value (170).
DETECTION DEVICE
A detection device includes a first optical sensor, a second optical sensor disposed at a predetermined distance from the first optical sensor, a light source that emits light to be detected by the first optical sensor and the second optical sensor facing a living body tissue including a blood vessel, and a processor that calculates a pulse wave velocity of the blood vessel based on a time-series variation of an output of the first optical sensor, a time-series variation of an output of the second optical sensor, and the predetermined distance.
DETECTION DEVICE
A detection device includes a first optical sensor, a second optical sensor disposed at a predetermined distance from the first optical sensor, a light source that emits light to be detected by the first optical sensor and the second optical sensor facing a living body tissue including a blood vessel, and a processor that calculates a pulse wave velocity of the blood vessel based on a time-series variation of an output of the first optical sensor, a time-series variation of an output of the second optical sensor, and the predetermined distance.
DETERMINING A FALL RISK RESPONSIVE TO DETECTING BODY POSITION MOVEMENTS
This disclosure is directed to devices, systems, and techniques for monitoring a patient condition. In some examples, a medical device system includes a medical device comprising a set of sensors. Additionally, the medical device system includes processing circuitry configured to identify, based on at least one signal of the set of signals, a time of an event corresponding to the patient and set a time window based on the time of the event. Additionally, the processing circuitry is configured to save, to a fall risk database in a memory, a set of data including one or more signals of the set of signals so that the fall risk database may be analyzed in order to determine a fall risk score corresponding to the patient, wherein the set of data corresponds to the time window.
EMBEDDED DEVICE FOR FLOW MONITORING
A system and method for monitoring a health status of a subject. The system comprises: a medical device implantable in the subject and having a passage or compartment through which blood flows through; a sensor device embedded at or near a surface of said passage within said medical device for generating signals suitable for measuring a Doppler shift effect occurring within said passage; and a control device coupled to said sensor device for measuring a liquid blood flow rate within said passage based on sensor generated signals outputs. The embedded sensor device comprises a first piezo-electric element configured to generate an acoustic excitation signal and a second piezo-electric element configured to receive said acoustic excitation signal. The second piezo-electric element emits a signal responsive to said acoustic excitation signal. Control device in real time compares a generated output signal with the input excitation signal to determine a Doppler frequency shift measurement.
Method for detecting blockage in a fluid flow vessel
A method for measuring sound from vortices in the carotid artery comprising: a first and second quality control provisions, wherein the quality control compares detected sounds to pre-determined sounds, and upon confirmation of the quality control procedures, detecting sounds generated by the heart and sounds from vortices in the carotid artery for at least 30 seconds. A method for determining stenosis of the carotid artery in a human patient consisting of a first step of placing a sensing device comprising an array and three sensing elements onto the patient, wherein a first sensing element is placed near the heart and the two remaining sensing elements are placed adjacent to the carotid arteries; the sensing elements then measure sounds from each of the three sensing elements, resulting in sound from three channels. The sound is measured in analog and modified to digital format and then each of the three channels are analyzed before a power spectral density analysis is performed. The power spectral density graph reveals peaks that are not due to noise, that are then analyzed to provide for a calculation of percent stenosis or complete occlusion of the carotid artery.
Method for detecting blockage in a fluid flow vessel
A method for measuring sound from vortices in the carotid artery comprising: a first and second quality control provisions, wherein the quality control compares detected sounds to pre-determined sounds, and upon confirmation of the quality control procedures, detecting sounds generated by the heart and sounds from vortices in the carotid artery for at least 30 seconds. A method for determining stenosis of the carotid artery in a human patient consisting of a first step of placing a sensing device comprising an array and three sensing elements onto the patient, wherein a first sensing element is placed near the heart and the two remaining sensing elements are placed adjacent to the carotid arteries; the sensing elements then measure sounds from each of the three sensing elements, resulting in sound from three channels. The sound is measured in analog and modified to digital format and then each of the three channels are analyzed before a power spectral density analysis is performed. The power spectral density graph reveals peaks that are not due to noise, that are then analyzed to provide for a calculation of percent stenosis or complete occlusion of the carotid artery.
SYSTEMS, DEVICES, AND METHODS FOR WIRELESS MONITORING
Described here are wireless monitoring devices, systems, and methods for estimating one or more physiological parameters of a patient. These devices and systems may measure or receive a signal waveform transmitted through one or more of fluid and a physiological structure of a patient. This measured signal waveform may be processed to generate waveform parameter data used to estimate a physiological parameter such as blood velocity, heart wall thickness, and the like.