Denso Corporation

Other

Toyota Jidosha Kabushiki Kaisha

Nippon Medical School Foundation

Shinji Nanba

Teiyuu Kimura

Toshiaki Shiomi

Katsuyoshi Nishii

Rie Ohsaki

Satoshi Takeuchi

Kenichi Yanai

Kazuhiro Sakai

Takao Katoh

Junichiro Hayano

Motohisa Osaka

Hiroshi Hayashi

Masahiko Ito

Tsuyoshi Nakagawa

Hiroshige Murata

Taiji Kawachi

Kouki Futatsuyama

Satoru Kodama

Yoshitaka Fuwamoto

Shinya Matsunaga

Tatsuya Ikegami

Shingo Imura

Tsukasa Koumura

Minoru Makiguchi

Masao Hasegawa

Seiichi Yamada

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

A living body state monitor apparatus includes: a living body information acquisition device to acquire living body information containing an electrocardiography waveform and a pulse waveform from a user; an irregular heartbeat detection section to detect an irregular heartbeat from the electrocardiography waveform; and a pulse wave feature quantity extraction section to extract a pulse wave feature quantity from a pulse wave corresponding to the irregular heartbeat. Further, a living body state determination section is included to determine a danger degree on user's living body state using both of (A) information on kind and/or continued time period of an irregular heartbeat detected by the irregular heartbeat detection section, and (B) a pulse wave feature quantity extracted by the pulse wave feature quantity extraction section, and/or a variation of the extracted pulse wave feature quantity.

Living body state monitor apparatus

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

An apparatus for detecting vital functions has a pulse wave sensor attachable to a body and a control unit. The control unit checks if amplitude of pulse wave signals produced from the pulse wave sensor varies. The control unit further checks if a large change in the amplitude during a systolic phase of a pulse wave corresponding to the systolic phase of the heart. If a first large change in the amplitude during a diastolic phase of a pulse wave corresponding to the diastolic phase of the heart, it is highly probable that a motion artifact has occurred. Therefore, a motion artifact flag is set. Next, it is checked if the amplitude in the next diastole is changing by more than 30%. if it is presumed that the occurrence of cough is highly probable, a cough flag is set. if it is neither the motion artifact nor the cough, then a yawn flag is set.

Apparatus for detecting vital functions, control unit and pulse wave sensor

A signal-to-noise ratio and measurement precision is increased in electrode units disposed on the left and right sides of a steering wheel. A plurality of electrode units is disposed in the left and right handholds of a steering wheel. The contact impedances of all the electrode units are measured. A pair of left and right electrode units to be used to measure an electrocardiographic signal is designated from among the electrode units whose measured contact impedances are less than or equal to a first threshold. The results of measurement of an electrocardiographic signal by the designated electrode units are added in order to minimize noise. An electrode unit with high contact impedance is used to measure induction noise and remove the induction noise component from the electrocardiographic signal measurement result.

Biosignal measuring equipment

A drowsiness detecting apparatus has a pulse wave sensor and a determination circuit. The sensor is provided to a steering wheel to detect a pulse wave of a vehicle driver gripping the steering wheel. The determination circuit generates a thorax pressure signal indicative of the depth of breathing by envelope-detecting a pulse wave signal of the sensor and determines whether the driver is drowsy by comparing a pattern of the thorax pressure signal with a reference pattern. The display and the buzzer notify the driver and any other passengers in the vehicle of the drowsiness of the driver by a visual indication and buzzing sound, respectively. A body surface motion may be used as a signal that indicates the depth of breathing.

Drowsiness detecting apparatus and method

In a clinical and physiological abnormality monitoring apparatus, and blood pressure monitoring apparatus detects a blood pressure abnormality and the like of a body by employing a pulse wave signal. A frequency analysis is carried out with respect to a pulse wave signal, while this pulse wave signal corresponds to time sequential data of pulse waves. As a result, both a C-frequency component indicative of a fluctuation component of a base line of the pulse wave signal, and also an A-frequency component representative of the respective pulse waves are acquired. A ratio C/A of power of a peak contained in the C-frequency component with respect to power of a peak contained in the A-frequency component is calculated to determine abnormality of the blood pressure.

Method and apparatus for monitoring biological abnormality and blood pressure

A physiological condition detecting method detects pulse waves from the body of a patient, and creates the envelope of the pulse waves by connecting every peak of the pulse waves. It determines that the patient is in non-REM sleep, if the envelope fluctuates regularly. It determines that the patient is in REM sleep, if the envelope fluctuates irregularly. Further the method calculates and normalizes the amplitude and period of the envelope. It determines whether the patient has obstructive sleep apnea syndrome based on the normalized amplitude. It determines whether the patient has central sleep apnea syndrome based on the normalized period. It determines that the patient has mixed sleep apnea syndrome based on the normalized amplitude and the normalized period.

Method for detecting physiological condition of sleeping patient based on analysis of pulse waves

A pleural pressure is predicted from pleural pressure based upon pulse wave signals, which are continuously produced and picked up in a time sequential manner. A first variation signal indicative of a condition of a variation contained in the pulse wave signals is acquired based upon the pulse wave signals. A second variation signal representative of a condition of a variation contained in the first variation signal is acquired based upon the first variation signal. The pleural pressure is predicted based on a difference between the first variation signal and the second variation signal.

Apparatus and method for electronically predicting pleural pressure from pulse wave signals

A vital signal detecting apparatus comprises an attachable device to be attached to a finger, a sensor having a light-emitting device and a light-receiving device, and a transmitting circuit for transmitting a signal waveform as a pulse wave from the sensor to a pulse wave monitoring unit. The pulse wave detecting unit also has an attachment detecting circuit for detecting whether or not the attachable device is in an attached state by comparing a signal waveform obtained when the light-emitting device is on with a signal waveform obtained when the light-emitting device is off and an operation control circuit for controlling the operation of the sensor, the transmitting circuit and the attachment detecting circuit. Preferably, the light-transmitting plate is disposed above the light-emitting device and the light-receiving device to pass light therethrough, and the light transmitting plate may be an IR-cut filter capable of blocking light of wavelengths greater than 700 nm.

Vital signal detecting apparatus

An infrared rays detection apparatus including an optical window member having a characteristic that scatters noise light, which is capable of reducing an influence of noise light with a simple structure. An infrared rays detection apparatus includes: a condenser lens; an infrared rays image sensor made up of plural thermal detection elements; and a signal detection/process circuit (SDP circuit). The image sensor detects a thermal distribution of a predetermined area condensed by the condenser lens in a passenger room. The SDP circuit makes a thermal image data based on the thermal distribution detected by the image sensor. Various types of system control circuits control each of the vehicular system as described later based on the thermal image data provided from the SDP circuit. The condenser lens is formed so that noise light such as visible light is scattered thereby and that infrared rays is transmitted therethrough to the image sensor. Furthermore, when all temperatures detected by all of the thermal detection elements uniformly rise, the SDP circuit determines that scattered visible light is entered and than makes obtained data invalid.

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Kariya, Japan

Shinji Nanba