Abstract: An endoscope includes an insertion section extending along a longitudinal axis and including a distal end portion, the distal end portion includes a distal end structural member including a conduit integrally formed as a through hole with the distal end structural member, the conduit configured so that a fluid flows through the conduit, the conduit includes a nozzle and a supply conduit located proximally relative to the nozzle, wherein a cross-sectional area of the supply conduit is greater than a cross-sectional area of the nozzle.

Abstract: A cognitive function evaluation device includes: an obtainment unit that obtains utterance data indicating a voice of an evaluatee uttering a sentence as instructed; a calculation unit that calculates, from the utterance data obtained by the obtainment unit, a feature based on the utterance data; an evaluation unit that compares the feature calculated by the calculation unit to reference data indicating a relationship between voice data indicating a voice of a person and a cognitive function of the person to evaluate the cognitive function of the evaluatee; and an output unit that outputs the sentence to be uttered by the evaluatee and outputs a result of evaluation by the evaluation unit.

Abstract: A sarcopenia evaluation method in a sarcopenia evaluation device that evaluates sarcopenia based on a walking motion of a subject includes: acquiring walking data related to walking of the subject; detecting, from the walking data, at least one walking parameter of an angle of a knee joint of one leg in a stance phase of the one leg of the subject, an angle of the knee joint of the one leg in a swing phase of the one leg, a vertical displacement of a toe of one foot in the stance phase, a vertical displacement of the toe of the one foot in the swing phase, an angle of an ankle joint of the one foot in the stance phase, and an angle of the ankle joint of the one foot in the swing phase; and determining whether or not the subject has sarcopenia using at least one walking parameter.

Abstract: Cognitive function evaluation device includes: storing unit storing reference data on the relationship between the periodicity of a body movement of a person walking and the cognitive function level of the person; acquiring unit that acquires body movement data on the detected body movement from body movement sensor that detects the body movement of subject walking; and calculating unit that calculates the periodicity of the body movement while walking from the acquired body movement data and checks the calculated periodicity against reference data stored in storing unit so as to identify the cognitive function level corresponding to the calculated periodicity.

Abstract: A cognitive function evaluation device includes: an instruction unit that instructs quick pronunciation of pseudoword in which a predetermined syllable is repeated; an obtainment unit that obtains voice data indicating a voice of an evaluatee who has received an instruction; a calculation unit that calculates a feature from the voice data obtained by the obtainment unit; an evaluation unit that evaluates a cognitive function of the evaluatee from the feature calculated by the calculation unit; and an output unit that outputs a result of the evaluation by the evaluation unit.

Abstract: A cognitive function evaluation device includes: an obtainment unit configured to obtain, as gait data, at least one of first data and second data, the first data indicating a sway amount of a body of a subject during walking in a first walking section from start of walking of the subject to a predetermined number of steps, and the second data indicating a sway amount of the body of the subject during walking in a second walking section in a double task state in which the subject is walking while doing a given assignment, the second walking section being after the first walking section; a calculation unit configured to calculate a feature value based on the gait data; an evaluation unit configured to evaluate a cognitive function of the subject, based on the feature value; and an output unit configured to output a result of evaluation by the evaluation unit.

Abstract: A cognitive function evaluation method in a cognitive function evaluation device that evaluates a cognitive function based on a walking motion of a subject includes: acquiring walking data related to walking of the subject; detecting, from the walking data, at least one of an angle of an ankle joint of one foot and an angle of a knee joint of one leg of the subject; and determining a cognitive function level of the subject using at least one of the angle of the ankle joint and the angle of the knee joint.

Abstract: A cognitive function evaluation device includes: an obtainment unit configured to obtain speech data indicating speech uttered by a subject; a calculation unit configured to extract a plurality of vowels from the speech data obtained by the obtainment unit, and calculate, for each of the plurality of vowels, a feature value based on a frequency and an amplitude of at least one formant obtained from a spectrum of the vowel; an evaluation unit configured to evaluate a cognitive function of the subject from the feature value calculated by the calculation unit; and an output unit configured to output an evaluation result of the evaluation unit.

Abstract: A gait motion display system including: a triaxial accelerometer, attached to the subject, that measures acceleration data of a subject in walking; an imaging unit that takes images of the subject in walking to obtain moving image data showing gait motions of the subject; a recording unit that records the acceleration data and the moving image data in synchronization with each other; an identification unit that converts the acceleration data recorded by the recording unit into horizontal displacement data and vertical displacement data, and identifies, from the moving image data, a representative image corresponding to a representative motion in a gait cycle, based on the horizontal displacement data or the vertical displacement data; and a display that displays an image illustration of the representative motion in the gait cycle, with the representative image identified by the identification unit.

Abstract: An oral function visualization system includes: an outputter that outputs information for prompting a user to utter a predetermined voice; an obtainer that obtains an uttered voice of the user uttered in accordance with the output; an analyzer that analyzes the uttered voice obtained by the obtainer; and an estimator that estimates a state of oral organs of the user from a result of analysis of the uttered voice by the analyzer. The outputter outputs, based on the state of the oral organs of the user estimated by the estimator, information for the user to achieve a state of the oral organs suitable for utterance of the predetermined voice.

Abstract: A cognitive level evaluation system includes a detector and a cognitive level evaluator. The detector is configured to detect a behavior of a subject in a toilet space. The cognitive level evaluator is configured to evaluate a cognitive level of the subject based on a detection result of the detector.

Abstract: A recipe output method includes: receiving a selection of a dish from a menu indicating a plurality of dishes; acquiring ability information indicating an eating and swallowing function of a subject determined by evaluation based on a speech spoken by the subject; and outputting a recipe for cooking the dish for which the selection was received, the recipe being adjusted to be suitable for the eating and swallowing function of the subject indicated by the ability information acquired.

Abstract: A factor estimation system is a factor estimation system that estimates a factor of fall risk indicating a possibility of a fall of a measured person, including: a calculator that obtains body motion data indicating body motion of the measured person during walking, and calculates two or more walking parameters of the measured person based on the body motion data obtained; and a factor analyzer that estimates, based on the two or more walking parameters, one or more main components that are included in the factor of the fall risk of the measured person and are based on the two or more walking parameters, and outputs an estimation result.

Abstract: A dementia information output system according to an aspect of the present invention includes: an acquisition unit configured to acquire an amount of body motion of a user; a determining unit configured to determine a likelihood that the user is developing a mild dementia or the like on the basis of a variability degree that is a degree by which an amount of body motion varies over a plurality of days in each of a plurality of time periods; and an outputting unit configured to output dementia information indicating the likelihood determined by the determining unit.

Abstract: A leg muscle strength estimation system includes: an obtainer that obtains an image including a user that is walking as a subject of the image; and an estimator that estimates a leg muscle strength of the user based on the obtained image.

Abstract: Provided is a wireless communication apparatus, comprising: a symbol synthesis circuit that synthesizes received symbols; a demodulation circuit that demodulates the received symbols each before and after the synthesis; an error correction circuit that corrects demodulated received data from the demodulation circuit; a detection circuit that detects a first error detection code from the error corrected received data; a second detection circuit that detects a second error detection code obtained by inverting a plurality of arbitrary bits from the error corrected received data; a received data selection circuit that selects the received data, wherein: the received data selection circuit determines a modulation scheme used upon transmission by using detection results of the first and second error detection codes and selects received data corresponding to the determined modulation scheme.

Abstract: A cognitive function evaluation device includes an acquisition unit that acquires body motion data representing a body motion of a person to be evaluated during walking; a calculation unit that calculates a displacement of a body of the person to be evaluated during walking based on the acquired body motion data; and an evaluation unit that evaluates a cognitive function of the person to be evaluated based on a frequency peak representing a cycle of walking of person-to-be-evaluated obtained by performing a frequency analysis on the calculated displacement, and to output the evaluation result.

Abstract: Cognitive decline detection system includes obtainment unit and determination unit. Obtainment unit obtains the amount of movement during a sleep period and the amount of movement during a non-sleep period of a user for each day, the non-sleep period being the period other than the sleep period. Determination unit determines that the cognitive function of the user is lower during a determination period than during a comparison period set before the determination period when the frequency of days when a movement amount ratio falls below a predetermined ratio among days constituting the determination period is higher than that among days constituting the comparison period, the movement amount ratio representing the ratio of the amount of movement during the non-sleep period to the amount of movement during the sleep period.

Abstract: A dementia symptom detection system includes an information processor which determines the level of dementia of a user based on (i) a reference value which is for an index corresponding to behavioral and psychological symptoms of dementia and which is determined based on the history of the activity amount stored in storage and the history of device operation information stored in the storage, and (ii) a personal value of the user which is for the index and which is determined based on the detected activity amount of the user and the obtained device operation information of the user.

Abstract: Cognitive decline detection system includes obtainment unit and determination unit. Obtainment unit obtains the amount of movement during a sleep period and the amount of movement during a non-sleep period of a user for each day, the non-sleep period being the period other than the sleep period. Determination unit determines that the cognitive function of the user is lower during a determination period than during a comparison period set before the determination period when the frequency of days when a movement amount ratio falls below a predetermined ratio among days constituting the determination period is higher than that among days constituting the comparison period, the movement amount ratio representing the ratio of the amount of movement during the non- sleep period to the amount of movement during the sleep period.