A breathing detection apparatus has a first camera (12), a second camera (14) and a processing device (16). The processing device (16) is configured to perform breathing detection analysis using data relating to respective images captured by the first and second cameras (12, 14) to detect breathing characteristics of a person shown in the images.

Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

A precise cardiac data reconstruction method is provided, which may also be referred to herein as radar cardiography (RCG). RCG can reconstruct cardiac data, such as heart rate and/or electrocardiogram (ECG)-like heartbeat waveform signals wirelessly by using advanced radar signal processing techniques. For example, heartbeat and related characteristics can be monitored by isolating cardiovascular activity from strong respiratory interference in spatial spaces: azimuth and elevation. This results in significant improvements to pulse signal-to-noise-ratio (SNR) compared to conventional approaches, facilitating heart-rate variability (HRV) analysis.

A biological information monitoring system (100) configured to monitor biological information of a subject (S) on a bed (BD) includes at least one load detector (11, 12, 13, 14) provided below the bed or legs of the bed and configured to detect a load of the subject on the bed, a waveform calculation unit (31) configured to calculate a waveform indicating a temporal variation in a detected value of the at least one load detector in accordance with respiration or a heartbeat of the subject, and a biological information calculation unit (32) configured to calculate a respiration rate or a heart rate of the subject by using the waveform. The biological information calculation unit includes a first calculation unit (321) configured to calculate the respiration rate or the heart rate of the subject by a first means based on the waveform, a second calculation unit (322) configured to calculate the respiration rate or the heart rate of the subject by a second means that differs from the first means and includes normalizing the waveform, and a calculation control unit (320) configured to cause the second calculation unit to calculate the respiration rate or the heart rate when an amplitude of the waveform is a threshold value or less.

A biological information monitoring system (100) configured to monitor biological information of a subject (S) on a bed (BD) includes at least one load detector (11, 12, 13, 14) provided below the bed or legs of the bed and configured to detect a load of the subject on the bed, a waveform calculation unit (31) configured to calculate a waveform indicating a temporal variation in a detected value of the at least one load detector in accordance with respiration or a heartbeat of the subject, and a biological information calculation unit (32) configured to calculate a respiration rate or a heart rate of the subject by using the waveform. The biological information calculation unit includes a first calculation unit (321) configured to calculate the respiration rate or the heart rate of the subject by a first means based on the waveform, a second calculation unit (322) configured to calculate the respiration rate or the heart rate of the subject by a second means that differs from the first means and includes normalizing the waveform, and a calculation control unit (320) configured to cause the second calculation unit to calculate the respiration rate or the heart rate when an amplitude of the waveform is a threshold value or less.

A heart failure diagnostic device includes a piezoelectric sensor sheet having flexibility and configured to output a detection signal corresponding to an input vibration. A respiratory signal acquisition unit is configured to extract, as a respiratory signal, a signal of a vibration frequency caused by respiration from the detection signal detected by the piezoelectric sensor sheet. A power spectrum calculator is configured to obtain a power spectrum of a respiratory frequency band from the respiratory signal, and a signal corrector is configured to correct the detection signal such that in the power spectrum, a maximum value of a first-order frequency component of a respiratory waveform is not smaller than 1.5 times a maximum value of a second-order frequency component of the respiratory waveform to obtain the respiratory signal.

A heart failure diagnostic device includes a piezoelectric sensor sheet having flexibility and configured to output a detection signal corresponding to an input vibration. A respiratory signal acquisition unit is configured to extract, as a respiratory signal, a signal of a vibration frequency caused by respiration from the detection signal detected by the piezoelectric sensor sheet. A power spectrum calculator is configured to obtain a power spectrum of a respiratory frequency band from the respiratory signal, and a signal corrector is configured to correct the detection signal such that in the power spectrum, a maximum value of a first-order frequency component of a respiratory waveform is not smaller than 1.5 times a maximum value of a second-order frequency component of the respiratory waveform to obtain the respiratory signal.

A camera assembly (3) for use in medical tracking applications, comprising a range camera (4) and a thermographic camera (5) in a fixed relative position.

A camera assembly (3) for use in medical tracking applications, comprising a range camera (4) and a thermographic camera (5) in a fixed relative position.