Denso Corporation

Other

Toyota Jidosha Kabushiki Kaisha

Nippon Medical School Foundation

Kazuhiro Sakai

Katsuyoshi Nishii

Teiyuu Kimura

Shinji Nanba

Fumiya Nagai

Taiji Kawachi

Yoshitaka Fuwamoto

Takao Katoh

Toshiaki Shiomi

Tetsuya Nakashima

Motohisa Osaka

Kazuya Inokawa

Masaaki Sugita

An electrocardiographic waveform measuring apparatus mounted in a seat with a seat skin element includes: a sensor electrode at a seat interior side of the seat to be covered with the seat skin element; an insulating elastic element at the seat interior side of the sensor electrode in the seat opposite to the seat skin element to face the sensor electrode; a guard electrode at the seat interior side of the insulating elastic element in the seat opposite to the sensor electrode to be opposed to the sensor electrode through the insulating elastic element; and a housing case at the seat interior side of the insulating elastic element in the seat opposite to the sensor electrode to be opposite to the insulating elastic element. The housing case accommodates a sensor circuit with an amplifier circuit, to which a potential signal of the sensor electrode is initially input.

Electrocardiographic waveform measuring apparatus

A biological condition evaluation apparatus determines a symptom of a heart abnormality based on at least one index calculated from a heartbeat interval and/or a pulse interval. The apparatus determines whether it is in a referential period where an amount of change in the index is comparatively small. The apparatus determines whether a plurality of conditions are satisfied or not in an evaluation period set after the referential period. One condition is that an amount of change in the index in the evaluation period is greater than that observed during the referential period. Another condition is that a rate of change in the index is equal to or greater than a predetermined threshold value. The apparatus determines that there is a symptom of a heart abnormality, when both the conditions are satisfied.

Apparatus for evaluating biological condition, method for the same, and computer program product

In a living body inspection apparatus to inspect RLS (Restless Legs Syndrome), a pulse interval is obtained from a pulse wave signal, thereby performing a frequency analysis of the obtained pulse interval using CDM. From a result of the frequency analysis, the low frequency components ranging from 0.04 to 0.15 Hz and the high frequency components ranging from 0.15 to 0.4 Hz are extracted. A value of low frequency components (LF)/high frequency components (HF) is obtained as an index to which an amendment based on age is applied. It is then determined whether LF/HF is equal to or greater than a predetermined determination value indicating RLS. For example, it is determined whether LF/HF is equal to or greater than 0.65, which suspects RLS. It is determined whether a signal is accurately calculated which indicates an activity of autonomic nerve. A state of RLS is determined using LF/HF.

Living body inspection apparatus, and relevant method and program product

A biosensor senses pulse wave data of a user. The biosensor stores relation information, which indicates a relationship between recommended bedtime data and sleep-affecting activity data. The relationship between the recommended bedtime data and the sleep-affecting activity data is determined in view of at least one of previously sensed pulse wave data of the user and model pulse wave data. The biosensor receives at least one sleep-affecting activity value from the user. The biosensor computes recommended bedtime information based on the at least one sleep-affecting activity value in view of the relation information. The biosensor gives notification to the user based on the recommended bedtime information.

Biosensor, sleep information processing method and apparatus, computer program thereof and computer readable storage medium thereof

In a portable biological information monitor apparatus, a pulse wave detection signal obtained by light emission from a green LED and a body motion detection signal obtained by light emission from an infrared LED are detected as biological information. This biological information is analyzed to compute various barometers. In a wake normal mode of a set generation mode, body motion and pulse are calculated as wake evaluation barometers for evaluation of a test subject's status in wake. In a wake steady state motion mode, body motion, pulse, and pitch are calculated as motion evaluation barometers for evaluation of the test subject's status in steady state motion. In a sleep mode, body motion, pulse, and autonomic nervous function are calculated as sleep evaluation barometers for evaluation of the test subject's status in sleep. Necessary barometers are thereby generated regardless of the test subject's action using the portable monitor apparatus alone.

Portable biological information monitor apparatus and information management apparatus

A microcomputer included in a physical condition monitoring system calculates the amount of autonomic nerve activity during sleep based on physical information during sleep collected by a physical information collecting device. The physical information contains heart rates, blood pressure, respiratory rate, and the amount of body movement. The microcomputer also receives various kinds of information including training conditions via an input device. Then, it displays the amount of autonomic nerve activity and the training conditions on a display device in a manner that connections between them are indicated.

Physical condition monitoring system

In an apparatus for measuring a biological condition of a living body, a light emitting unit emits individually first and second lights to a measurement portion of the living body. The first and second lights have first and second wavelengths, respectively. The first and second wavelengths are different from each other. A light receiving unit receives first and second reflection lights to generate first and second detection signals based on the first and second reflection lights, respectively. The first and second reflection lights are based on the first light reflected from the measurement portion and the second light reflected therefrom, respectively. The first and second detection signals have different characteristics from each other due to the difference between the first and second wavelengths. A measuring unit measures the biological condition based on the different characteristics of the first and second detection signals.

Method and apparatus for measuring biological condition

A driver's condition detection device is for detecting a first life information indicating a driver's degree of activity. The driver's condition classification device is for classifying the first life information into at least two regions. The driver's condition determination device is for determining the driver's condition based on a distribution of the first life information in the regions.

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Anjo, Japan

Kazuhiro Sakai