A fabric-based item may be provide with a stretchable band. The stretchable band may be formed from a ring-shaped strip of stretchable fabric having an opening configured to fit around a body part of a user. Circuitry may be coupled to strands of material in the stretchable band. The circuitry may include sensor circuitry for making measurements on the body part such as electrocardiogram measurements, blood pressure measurements, and respiration rate measurements. Wireless communications circuitry in the fabric-based item may be used to communicate wirelessly with external electronic equipment. A wireless power transmitting device may transmit wireless power. A coil formed from conductive strands in the fabric-based item may be used by wireless power receiving circuitry in the fabric-based item to receive the wireless power. The coil may have one or more turns that run around the ring-shaped strip of stretchable fabric.

A method for diagnosing one or more diseases of the respiratory tract for a patient including the steps of: acquiring cough sounds from the patient; processing the cough sounds to produce cough sound feature signals representing one or more cough sound features from the cough segments; obtaining one or more disease signatures based on the cough sound feature signals; and classifying the one or more disease signatures to deem the cough segments as indicative of one or more of said diseases; wherein the step of obtaining the one or more disease signatures based on the cough sound feature signals includes applying the cough sound features to each of one or more pre-trained disease signature decision machines, each said decision machine having been pre-trained to classify the cough sound features as corresponding to either a particular disease or to a non-disease state or as corresponding to first particular disease or a second particular disease different from the first particular disease.

A sleeping/waking determining system (100) configured to determine whether a subject on a bed (BD) is in a sleeping state or in a waking state, includes: a load detector (11) configured to detect a load of the subject on the bed; and a determining unit (33) configured to determine whether the subject is in the sleeping state or in the waking state, based on a comparison between a threshold value and a value obtained by performing a time-integration of a standard deviation of a temporal variation of the load of the subject.

A sleeping/waking determining system (100) configured to determine whether a subject on a bed (BD) is in a sleeping state or in a waking state, includes: a load detector (11) configured to detect a load of the subject on the bed; and a determining unit (33) configured to determine whether the subject is in the sleeping state or in the waking state, based on a comparison between a threshold value and a value obtained by performing a time-integration of a standard deviation of a temporal variation of the load of the subject.

A biological state monitoring system (100, 200) for monitoring a biological state of a subject on a bed (BD) includes: at least one load detector (11, 12, 13, 14) configured to detect a load of the subject on the bed; a body motion determining unit (33) configured to determine whether or not the subject has a body motion, based on a temporal variation of a detection value of the load detector; a respiratory rate estimating unit (34) configured to successively obtain and output estimated values of respiratory rate of the subject, based on the temporal variation of the detection value of the load detector; and a twitch determining unit (35) configured to determine whether or not a body motion is a twitch, based on a duration of the body motion of the subject. In a case that the twitch determining unit determines that the body motion is not a twitch, the respiratory rate estimating unit ceases to output the estimated value of the respiratory rate, or outputs a first estimated value which is the latest among the estimated values obtained in a first period, the first period being directly preceding the body motion and being determined by the body motion determining unit to be a period in which the subject has no body motion. In a case that the twitch determining unit determines that the body motion is a twitch, the respiratory rate estimating unit successively outputs newly obtained estimated values of the respiratory rate.

A biological state monitoring system (100, 200) for monitoring a biological state of a subject on a bed (BD) includes: at least one load detector (11, 12, 13, 14) configured to detect a load of the subject on the bed; a body motion determining unit (33) configured to determine whether or not the subject has a body motion, based on a temporal variation of a detection value of the load detector; a respiratory rate estimating unit (34) configured to successively obtain and output estimated values of respiratory rate of the subject, based on the temporal variation of the detection value of the load detector; and a twitch determining unit (35) configured to determine whether or not a body motion is a twitch, based on a duration of the body motion of the subject. In a case that the twitch determining unit determines that the body motion is not a twitch, the respiratory rate estimating unit ceases to output the estimated value of the respiratory rate, or outputs a first estimated value which is the latest among the estimated values obtained in a first period, the first period being directly preceding the body motion and being determined by the body motion determining unit to be a period in which the subject has no body motion. In a case that the twitch determining unit determines that the body motion is a twitch, the respiratory rate estimating unit successively outputs newly obtained estimated values of the respiratory rate.

A non-invasive, wearable and portable medical device for evaluation and monitoring the heart condition for patients with congestive heart failure and a CHF management system is provided comprising a wearable textile-based device utilizing physiologic and biometric sensors, a Signal Acquisition Unit, and a monitoring system executing a suite of software algorithms to monitor and evaluate patients with CHF.

In a noncontact self-injection-locked sensor, a self-injection-locked oscillating integrated antenna is designed to radiate a signal to a subject and be injection-locked by a reflect signal reflected from the subject. Owing to the reflect signal is phase-modulated by vital signs of the subject, a demodulator is provided to demodulate an injection-locked signal of the self-injection-locked oscillating integrated antenna to obtain a vital signal of the subject.

In a noncontact self-injection-locked sensor, a self-injection-locked oscillating integrated antenna is designed to radiate a signal to a subject and be injection-locked by a reflect signal reflected from the subject. Owing to the reflect signal is phase-modulated by vital signs of the subject, a demodulator is provided to demodulate an injection-locked signal of the self-injection-locked oscillating integrated antenna to obtain a vital signal of the subject.

One aspect of the apparatus comprising, a sensor configured to acquire a biological signal of a user, and a controller configured to, determine whether the biological signal is continuously outside a predetermined range for a first time period, after determining that the biological signal has been continuously outside the predetermined range for the first time period, then determine whether the biological signal is inside the predetermined range, and activate an alarm if the controller has determined that (i) the biological signal has been outside the predetermined range for the first time period, and (ii) the biological signal has been continuously inside the predetermined range for a second time period, the second time period being longer than the first time period.