A lifestyle management supporting apparatus: acquires lifestyle-related information related to the lifestyle of a subject person; determines a psychological state index value which indicates a level of self-efficacy for the lifestyle improvement, based on the lifestyle-related information; determines a behavioral state index value which indicates a level of behavioral achievement for the lifestyle improvement, based on the lifestyle-related information; determines a type of the subject person by using a classification by axes of indexes including the psychological state index and the behavioral state index; and provides control unit providing support information conforming to the type of the subject person.

There is provided a system for monitoring a heart of a subject and monitoring impedance-related parameters, comprising: a feeding tube, an electrode disposed(s) on a distal end of the feeding tube, a controller that performs, while the feeding tube is in located in an esophagus and feeding is delivered to a subject via the feeding tube, in a plurality of iterations: continuously measuring voltage at the electrode(s) of the feeding tube, applying alternating current(s) between the electrode(s) of the feeding tube and at least one other electrode, computing impedance measurement(s) from the electrode(s) of the feeding tube according to the applied alternating current(s) and the measured voltage, computing impedance-related parameter(s) based on the impedance measurement(s), terminating the application of the alternating current(s), obtaining an electrocardiogram (ECG) measurement based on the voltage measured at the electrode(s) of the feeding tube, and providing the impedance-related parameter(s) and the ECG measurement.

Systems, devices, and methods for identifying a target in a body using a spectroscopic feedback from the target are disclosed. An exemplary surgical feedback control system comprises a feedback analyzer configured to receive a reflected signal from a target in response to electromagnetic radiation directed at a target, and a controller in operative communication with the feedback analyzer. The controller can generate a control signal to a surgical system to perform a predetermined operation based upon the received reflected signal, including determining a composition of the target, or programming a laser setting to direct laser energy to the target.

Systems and methods for non-invasive fat reduction can include targeting a region of interest below a surface of skin, which contains fat and delivering ultrasound energy to the region of interest. The ultrasound energy generates a thermal lesion with said ultrasound energy on a fat cell. The lesion can create an opening in the surface of the fat cell, which allows the draining of a fluid out of the fat cell and through the opening. In addition, by applying ultrasound energy to fat cells to increase the temperature to between 43 degrees and 49 degrees, cell apoptosis can be realized, thereby resulting in reduction of fat.

The invention comprises a system and method for identification and/or characterization of lesions and/or the various type of tissues inside blood vessels, including utilizing a laser system configured to transmit laser radiation towards and/or onto a lesion within a blood vessel, monitoring ablation of the lesion utilizing at least one acoustic sensor; and, using a processor, comparing the signals obtained from the acoustic signal to previously obtained acoustic signals associated with specific lesion types and determine a type of the lesion and/or an efficiency of the ablation process based on the comparison.

A health wellness assessment and management system for men that takes into account a bio-wellness age based in part on a subject's testosterone level. The system computes a subject's current bio-wellness age and compiles a customized plan for the subject that includes a testosterone replacement therapy and other target evaluation factors. The system also computes a target bio-wellness age assuming that the subject attains the target testosterone level by taking the testosterone replacement therapy, along with attaining the other target evaluation factors through lifestyle changes recommended in the customized plan. The subject's chronological age, current bio-wellness age, and target bio-wellness age are used as gamification parameters to motivate the subject to engage in a health wellness improvement program. For example, the system may show a chronological age of 56, current bio-wellness age of 67, and a target bio-wellness age of 32 as a motivational feature.

The terminal includes a touch panel including first electrodes arranged in a first direction and second electrodes arranged in the second direction intersecting the first direction, a display panel attached to the touch panel and to display an image, and a processor to control the touch panel and the display panel. In a measuring mode, the processor is configured to: apply a driving signal to the touch panel, the touch panel being configured to form an electric field and/or magnetic field when the driving signal is applied, and determine body composition of a user based on a sensing signal output from the touch panel in accordance with eddy current, the eddy current being induced to a body of the user by the electric field and/or magnetic field formed around the touch panel.

The present disclosure provides a device for predicting body weight of a person and device and method for health management. The device for predicting body weight of a person according to the present disclosure includes an acquisition unit for obtaining blood pressure of each person in multiple persons; an input unit for inputting body weights of the persons; a storage unit for associatively storing the blood pressure and the corresponding body weights; a combination unit for obtaining average blood pressure and obtaining an average body weight, wherein the average blood pressure and the average body weight are associatively stored in the storage unit as learning data; and a prediction unit for performing machine learning on the basis of the learning data and predict body weight. The organism data is processed to an extent that makes the detected persons unidentifiable.

An exemplary tissue detection and location identification apparatus can include, for example, a first electrically conductive layer at least partially (e.g., circumferentially) surrounding a lumen, an insulating layer at least partially (e.g., circumferentially) surrounding the first electrically conductive layer, and a second electrically conductive layer circumferentially surrounding the insulating layer, where the insulating layer can electrically isolate the first electrically conductive layer from the second electrically conductive layer. A further insulating layer can be included which can at least partially surrounding the second electrically conductive layer. The first electrically conductive layer, the insulating layer, and the second electrically conductive layer can form a structure which has a first side and a second side disposed opposite to the first side with respect to the lumen, where the first side can be longer than the second side thereby forming a sharp pointed end via the first side at a distal-most portion. The exemplary configuration can be used for (a) determination/detection of a tissue type using impendence of the electrically conductive layers, and/or (ii) determination of a location of at least one portion of the insertion device/apparatus. Another exemplary apparatus can include, for example, a base structure comprising a lumen extending along a length thereof, and at least one optically-transmissive layer circumferentially surrounding the base structure and provided at least at a distal end of the base structure. For example, in operation, the optically-transmissive layer can be configured to transmit a particular optical radiation at the distal end thereof toward a target tissue.

A method of processing a signal pertaining to at least one electrical property of an organ of a subject is disclosed. The method comprises determining a physiological condition of the subject, selecting a frequency band, filtering the signal according to the frequency band, and dynamically adapting the frequency band in response to a change in the physiological condition.