Abstract: The purpose of the present invention is to accurately identify an appearance position of a desired waveform pattern. A signal feature extraction apparatus extracts a feature peak value of a waveform pattern from an output signal of a feature extraction filter that extracts a waveform pattern of an input signal. A local maximum value detection part 1 stores a time index and a value of the output signal when an absolute value of the output signal is equal to or more than a predetermined threshold value and takes a local maximum value.

Abstract: A measured signal amplifier (1) amplifies an EMG sensor signal (E). The measured signal amplifier (1) includes a sensor interface (2) for receiving the EMG sensor signal (E), at least one device interface (3) for receiving an electrical energy signal as well as for transmitting a processed signal (V), an electrically chargeable energy storage device (4) and at least one computer (5). The computer (5) is configured to derive a processed signal (V) from the EMG sensor signal (E) and to control the charging of the energy storage device (4) by the electrical energy signal as a function of the EMG sensor signal (E) received from the sensor interface (2).

Abstract: A processing apparatus for processing a physiological signal using model subtraction, notch filtering and gating. The processing apparatus comprises a model subtraction circuit configured to receive the physiological signal and to reduce a first unwanted signal component, such as an ECG contamination, in the physiological signal by subtracting from the physiological signal a model of the first unwanted signal component to obtain a residual signal; a filter circuit configured to receive the residual signal and to reduce a second unwanted signal component, such as power line noise, in the residual signal by applying a notch filter to obtain a filtered signal; and a gating circuit configured to receive the filtered signal and to apply gating to the filtered signal to obtain a gated signal. The processing apparatus further relates to a corresponding electromyography system and a method for processing a physiological signal using model subtraction, notch filtering and gating.

Abstract: There is provided a respiration estimation apparatus.

Abstract: Methods and systems for express estimation of the arterial elasticity in a subject are presented. The methods and systems provide simplicity in measurement and the opportunity to measure the arterial elasticity through HRV. The method includes imposing a rhythmical stimulation at a frequency between about 0.06 Hz and 0.081 Hz to cause an oscillation on the cardiovascular system of a subject. The method further include measuring a response associated with the oscillation on the cardiovascular system and determining the arterial elasticity of the subject based on a level of the response associated with the oscillation.

Abstract: Systems and methods are provided for evaluating an alarm condition for a monitored patient in a population of one or more patients. One or more physiological parameters pertaining to the patient, or physiological variables, are used to form a time series describing the patient status. A dimension parameter such as a time series roughness statistic or a fractal dimension is used to estimate a dimension decision statistic over time. The dimension decision statistic is used as a measure of physiological condition. The dimension decision statistic may be compared to a threshold to determine a region of operation for the dimension of the physiological variable. The dimension decision statistic is used in an embodiment in combination with the underlying raw physiological variable value to reduce the rate of false alarms, to increase the frequency of missed detections, and to aid diagnostic decision making and to aid the formation of a crisis action plan.

Abstract: An electronic device and a method of measuring an amount of user physical activity by an electronic device are provided. The method includes establishing short range communication among a plurality of electronic devices, determining one of the plurality of electronic devices as a primary device, communicating state information of remaining electronic devices to the primary device, activating a sensor on a device having a highest priority among the plurality of electronic devices according to the state information, recording physical activity information according to physical activity sensed by the sensor, communicating the physical activity information to the primary device, calculating an amount of physical activity according to the communicated physical activity information, and synchronizing the amount of physical activity among the plurality of electronic devices.

Abstract: This document discusses, among other things, systems and methods to receive physiologic information of a patient, to receive pulse pressure information from the patient different than the received physiologic information, and to determine an indication of atrial fibrillation (AF) using the received physiologic information and the received pulse pressure information.

Abstract: Magnetic resonance compressed sensing data may be acquired and reconstructed into an image. Noise-like aliasing present in the compressed sensing data may be modeled. The reconstruction may include denoising the compressed sensing data based on a noise level of the compressed sensing data, a sampling density of the compressed sensing data, and the model of the noise-like aliasing. A result of the denoising is denoised image data. The reconstruction may further include generating updated image data based on the compressed sensing data and the denoised image data. An output image based on the updated image may be output.

Abstract: There is provided a blood pressure monitor for use in measuring the blood pressure of a subject, the blood pressure monitor comprising a cuff that is configured to be placed around a body part of the subject and inflated to apply pressure to the body part; a pressure sensor that is configured to provide measurements of the pressure in the cuff; a plethysmography sensor comprising a coil having one or more windings that is configured to provide an output signal indicating the volume of the body part of the subject and/or changes in the volume of the body part; and a processing unit that is configured to determine the blood pressure of the subject from the measurements of the pressure in the cuff and the measurements of the volume of the body part and/or the changes in the volume of the body part. A corresponding method claim is also provided.

Abstract: A method for remotely sensing cardiac-related data of an animal subject includes transmitting a RF signal to impinge on tissue of the subject, receiving a reflected portion of the RF signal, generating baseband data, filtering baseband data (e.g., including high pass filtering), performing waveform phase position determination, performing at least one auto-correlation of the waveform phase position determined data, determining periodicity of the auto-correlated data, and (i) computing heart rate using a maximum periodicity of the periodicity, or (ii) identifying abnormalities in cardiac function, such as may be indicated by temporal variations in heart rate and/or signal amplitude corresponding to cardiac activity. Multiple bandpass filtering schemes may be employed.

Abstract: A method for detecting a vital sign of a subject (102) comprises: receiving (302) a reflected radio frequency signal from the subject (102), the reflected signal being based on a transmitted signal, which is Doppler-shifted due to mechanical movements corresponding to the heart rate and/or the respiratory rate; dividing (304) a baseband signal into a sequence of sliding windows (200), each sliding window (200) representing a time interval; estimating (306) a vital sign parameter in at least one sliding window (200); determining (308) whether a vital sign parameter may be reliably estimated in at least one sliding window (200); on condition that the vital sign parameter may not be reliably estimated in a sliding window (200), determining (310) a vital sign parameter of the sliding window (200) based on vital sign parameters estimated in a plurality of windows representing time intervals close to the time interval of the window (200).

Abstract: Systems and methods for performing and assessing neuromodulation therapy are disclosed herein. One method for assessing the efficacy of neuromodulation therapy includes positioning a neuromodulation catheter at a target site within a renal blood vessel of a human patient and delivering neuromodulation energy at the target site with the neuromodulation catheter. The method can further include obtaining a measurement related to a dimension of the renal blood vessel via a sensing element of the neuromodulation catheter. The measurement can be compared to a baseline measurement related to the dimension of the renal blood vessel to assess the efficacy of the neuromodulation therapy. In some embodiments, the baseline measurement is obtained via the sensing element of the neuromodulation catheter prior to delivering the neuromodulation energy.

Abstract: 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.

Abstract: Described is an alert system and method a system and method for alerting nearby network-connected communication devices. The system includes a network-connected victim communication device configured to receive a trigger, and at least one network-connected target communication device configured to receive and provide notification of an alert. The alert management server is communicatively coupled to the network-connected victim communication device and to the at least one network-connected target communication device to receive the trigger from the network-connected victim communication device and to provide the alert to the at least one network-connected target communication device. The alert management server is configured to monitor the network-connected victim communication device for the trigger, receive the trigger from the network-connected victim communication device, create an alert based on the trigger, and send the alert to the at least one network-connected target communication device.

Abstract: A medical device for measuring blood flow through a blood vessel of a mammal includes a conductive elastomer having a variable resistance. A frame is at least partially surrounding at least a portion of the conductive elastomer, the conductive elastomer is suspended within the frame. A mechanical amplification element is slidably engaged to the conductive elastomer, the mechanical amplification element being configured to slide within the frame and to contact skin of the mammal over the blood vessel when the frame is positioned over the blood vessel, the mechanical amplification element being configured to be displaced when the artery pulsates and changes the resistance of the elastomer.

Abstract: A method and apparatus are disclosed for assessing a respiratory function from plethysmography data obtainable, for example, from a pulse oximeter. A pulsatile waveform obtained from pleth data is processed to obtain a second waveform extending over a over multiple respiratory cycles and representing respiration-related variations in a pulse-beat area defined by the pulsatile waveform. The second waveform is analyzed to obtain information indicative of respiratory distress. A respiratory index that provides a good indicator of respiratory distress may be computed based on a magnitude of respiratory peaks in the second waveform. Applications to asthma and sleep apnea are described.

Abstract: Systems and methods for enhancing quality of a flow image of a sample are provided. An image is obtained from a plurality of optical image scans of a sample comprising blood perfused tissue. A vector comprising tissue components, flow components, and noise is then generated, and eigenvectors and eigenvalues are estimated from the vector. From the eigenvectors and eigenvalues, an eigen regression filter is applied to isolate flow components from the tissue components in the sample. The isolated tissue components may then be removed from the image to enhance visualization and quantification of a flow of dynamic moving particles within the sample.

Abstract: Embodiments of the present disclosure are configured to assess the severity of a blockage in a vessel and, in particular, a stenosis in a blood vessel. In some particular embodiments, the devices, systems, and methods of the present disclosure are configured to provide FFR measurements over a length of a vessel of interest in a small, compact device that integrates with existing proximal and distal pressure measurement systems and does not require a separate power source.

Abstract: A monitoring device configured to be attached to a body of a subject includes a sensor configured to detect and/or measure physiological information from the subject, and a processor coupled to the sensor that is configured to receive and analyze signals produced by the sensor. The processor is configured to change signal analysis frequency and/or sensor interrogation power in response to detecting a change in subject activity, a change in subject stress level, a change in environmental conditions, a change in time, and/or a change in location of the subject.

Abstract: The thoracic element, in the shape of a band, comprises a support layer (5) including a first and second sensors (1),(2) and a processing unit (3) inside a casing (8). The first sensor (1) is a laminated strain gauge located on an elastic portion (5c) of the support layer (5) and the second sensor (2) is formed by a first and a second laminated electro-conductive elements (2a), (2b) cooperating to obtain an ECG measurement. Each of the sensors (1), (2) includes at their ends a connector (21a, 21b, 11a, 11b) to be attached to terminals (4a), (4b) of the casing (8). The laminated electro-conductive elements are superimposed and separated by an electric insulating rigid laminar layer (6). The support layer has two openings (5a) and (5b) at a given distance, through which the electro-conductive elements (2a and 2b) can contact the skin of the individual.

Abstract: A health and fitness management system that employs an algorithm to determine suggested recommended actions for a user to improve their health and fitness. The system obtains a user's health indicating measurement from a respective acquisition device. The user is never informed of the acquired data. The health indicating measurement can include a heart/pulse rate, blood pressure measurement, weight, etc. Base line data (age, ideal age, initial weight, current weight, ideal weight, etc.) can be considered in the algorithm. Examples include the user's environment, sleep habits, exercise routines, medical records, and the like. The health index number is used to determine recommended actions, which can include changes to environments, routines, activities, etc. Data collection, the algorithm, and other features of the system can be provided by an Application operating on a portable computing device. Features of the portable computing device can be employed to automatically acquire data for the algorithm.

Abstract: A neural network is used in a vehicle component to determine the stress level or arousal level of a vehicle occupant. Sensors in the vehicle cabin, e.g., the seat, sense biological characteristics of the occupant, e.g., neuro-electrical signals, cardiac characteristics, body temperature and the like. The neural network can compute and classify the emotional state of the occupant in real-time. The vehicle can trigger warnings, indicators and stress counter-measures when the occupant exceeds a threshold. The counter-measures can include visual and audio feedback within the vehicle cabin. The neural network can provide historical occupant emotional states that can be used by the navigation system to avoid travel segments that may trigger undesired emotional states in the occupant.

Abstract: The present disclosure pertains to a system configured to detect slow wave sleep and/or non-slow wave sleep in a subject during a sleep session based on a predicted onset time of slow wave sleep and/or a predicted end time of slow wave sleep that is determined based on changes in cardiorespiratory parameters of the subject. Cardiorespiratory parameters in a subject typically begin to change before transitions between non-slow wave sleep and slow wave sleep. Predicting this time delay between the changes in the cardiorespiratory parameters and the onset and/or end of slow wave sleep facilitates better (e.g., more sensitive and/or more accurate) determination of slow wave sleep and/or non-slow wave sleep.

Abstract: A bio-signal processing apparatus, a biometric information detection apparatus, and a method of detecting biometric information are provided. The bio-signal processing apparatus includes a first low pass filter (LPF) configured to have a first cutoff frequency, and output a first preprocessed signal having low frequency components of an input bio-signal that are less than the first cutoff frequency, a second LPF configured to have a second cutoff frequency, and output a second preprocessed signal in which high frequency components greater than or equal to the second cutoff frequency are removed from the input bio-signal, and a processor configured to output an output bio-signal for biometric information detection, based on the output first preprocessed signal and the output second preprocessed signal.

Abstract: Systems and methods for monitoring patient for syncope are discussed. A syncope monitor system can detect a precipitating event associated with a syncope onset, and acquire hemodynamic data in response to the detection of the precipitating event. A syncope analyzer circuit may generate temporal profiles of one or more hemodynamic parameters using the hemodynamic data. The syncope analyzer may use the temporal profiles to detect a syncopal event and to classify the syncopal event into one of a plurality of syncope categories. The detection and classification information may be output to a user or a process.

Abstract: The invention relates to a method carried out by a processor for predicting a specific respiratory pathogen in a group of farm animals, which method comprises monitoring the sounds generated by said farm animals.

Abstract: An earphone includes a loudspeaker, a microphone, a housing supporting the loudspeaker and microphone, and an ear tip surrounding the housing and configured to acoustically couple both the loudspeaker and the microphone to an ear canal of a user, and to acoustically close the entrance to the user's ear canal. A processor provides output audio signals to the loudspeaker which represent sounds across a first frequency band, the audio signals including a notch in which the sounds lack energy within a second frequency band narrower than the first frequency band, receives input audio signals from the microphone, applies a band-pass filter to the input audio signals to limit the input audio signals to a third frequency band contained within the second frequency band, and demodulates the filtered input audio signals to compute a rate of respiration corresponding to energy in the input audio signals in the third frequency band.

Abstract: A method for transmitting data collected by at least one sensor to a monitoring device. The method includes, upon acquisition of a new piece of data by the at least one sensor, acts of calculating a deviation indicator indicating a deviation between the value of the new piece of data and a value predicted for this piece of data by a prediction model representative of previously acquired data, and transmitting the new piece of data to the monitoring device when the deviation indicator is higher than a threshold. Also provided are a monitoring method on a monitoring device, a terminal implementing the transmission method and a server implementing the monitoring method.

Abstract: A patch includes a substrate, and a plurality of temperature sensors. Such sensors include a first temperature sensor, a second temperature sensor, a third temperature sensor connected to the substrate between the first temperature sensor and the second temperature sensor, and a fourth temperature sensor substantially overlaying the third temperature sensor. The patch also includes a layer of insulative material spacing the fourth temperature sensor from the third temperature sensor. In such examples, the patch also includes an antenna configured to transmit information associated with temperatures determined by the first, second, third, and fourth temperature sensors.

Abstract: In a vital sign sensor of the present invention, an antenna assembly radiates an oscillation signal generated by a SIL oscillator to an object in a form of a wireless signal and receives a reflected signal from the object, and the reflected signal can have the SIL oscillator injection-locked. The wireless signal radiated from the antenna assembly is transmitted to a demodulator for demodulation such that the vital signs of the object can be obtained. Additionally, an isolator of the antenna assembly is provided to prevent the SIL oscillator from receiving a clutter reflected from the demodulator and an environment where the demodulator is placed. As a result, the clutter can't influence the vital sign detection of the object.

Abstract: This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate.

Abstract: A wearable ECG system includes a plurality of electrodes; a multiplexor, the multiplexor including an input port, two output ports, and a control port, the input port of the multiplexor being connected with the electrodes; an analog detection module being connected with one output port of the multiplexor; a digital detection module being connected with the other output port of the multiplexor; a processor being connected with the control port of the multiplexor and the digital detection module; and a motion detection module connected with the processor and configured to detect acceleration of the wearable ECG system and output an electrical signal accordingly. The processor is configured to receive the electrical signal from the motion detection module, and control the multiplexor to selectively transmit output of the electrodes to the analog detection module or the digital detection module based on the electrical signal.

Abstract: A wearable system and method for providing BCG data from a user including a wearable sensor configured to receive cardiogenic surface vibration waveforms, a calibrating sensor configured to receive cardiogenic center-of-mass (COM) vibration waveforms, and a processor configured to use the COM vibration waveforms as a template for modifying the surface vibration waveforms to provide health-related outputs. A systematic approach for elucidating the relationship between surface vibrations of the body in the head-to-foot direction from the wearable sensor, and the movements of the whole body as measured by the calibrating sensor is disclosed. Additionally, a methodology for converting the wearable acceleration signals to BCG signals such that the same analysis and interpretation tools can be used for both measurements is presented.

Abstract: Systems and methods for monitoring patients with respiratory diseases are described. A system may include a sensor circuit to sense a respiration signal and at least one hemodynamic signal. The system may detect a specified respiratory phase from the respiration signal, and generate from the hemodynamic signal one or more signal metrics that are correlative to at least one of a systolic blood pressure, a blood volume, or a cardiac dimension. The system may detect a restrictive or obstructive respiratory condition when the hemodynamic signal metric indicates hemodynamic deterioration during a specified respiratory phase. The system may additionally classify the detected restrictive or obstructive respiratory condition into one of two or more categories, and deliver a therapy based on the detection or the classification.

Abstract: Systems and methods for detecting atrial arrhythmias such as atrial tachyarrhythmia (AT) are described herein. An AT detection system may include a heart rate detector circuit configured to detect, from a physiological signal, representative ventricular heart rates within heart rate analysis windows. An atrial tachyarrhythmia detector circuit may perform an initial rate detection using a first ventricular heart rate statistic generated from the representative ventricular heart rates, and to perform a sustained arrhythmia detection using one or more second ventricular heart rate statistics generated within a second plurality of heart rate analysis windows during a specific duration. An AT event is detected if the second ventricular heart rate statistics satisfy a specific condition throughout the specific duration. The AT detection system may include an output unit that may output the detected AT to a user or a process.

Abstract: A method and an apparatus for measuring a displacement of an object according to steps of: dividing a signal into an I signal and a Q signal according to a phase of the signal, wherein the signal is reflected by the object after a transmission signal having a plurality of frequencies is emitted toward the object by the radar measurement system; estimating a direct current (DC) component from an N-tuple information acquired from the I signal and the Q signal; removing the estimated DC component to correct the I signal and the Q signal; and measuring the displacement of the object based on the corrected I signal and Q signal are provided.

Abstract: A bio-signal processing apparatus, a biometric information detection apparatus, and a method of detecting biometric information are provided. The bio-signal processing apparatus includes a first low pass filter (LPF) configured to have a first cutoff frequency, and output a first preprocessed signal having low frequency components of an input bio-signal that are less than the first cutoff frequency, a second LPF configured to have a second cutoff frequency, and output a second preprocessed signal in which high frequency components greater than or equal to the second cutoff frequency are removed from the input bio-signal, and a processor configured to output an output bio-signal for biometric information detection, based on the output first preprocessed signal and the output second preprocessed signal.

Abstract: Embodiments disclosed herein improve digital stethoscopes and their application and operation. A first method detects of a respiratory abnormality using a convolution. A second method counts coughs for a patient. A third method predicts a respiratory event based on a detected trend. A fourth method forecasts characteristics of a future respiratory event. In a fifth embodiment, a base station is provided for a digital stethoscope.

Abstract: A method includes transmitting into a heart of a patient multiple voltages using multiple respective surface-electrodes attached externally to the patient. Repeatedly per each region of a plurality of regions of the heart (i) multiple respective calibration-voltages are measured in the region; (ii) a respective partial sub-set of the surface-electrodes is selected for the region, whose corresponding calibration-voltages minimize a cost-function, wherein the cost-function includes a first term that depends on magnitudes of gradients of the measured calibration-voltages, and a second term that depends on correlations among the gradients; and (iii) the partial sub-set of surface-electrodes selected for the region, are recorded for use in a subsequent session; and, in the subsequent session, a position of a probe inserted into a given region of the heart is calculated based only on the sub-set selected for the given region.

Abstract: An apparatus for assessing the severity of stenosis in a blood vessel includes an elongate body including a distal portion and a centering assembly. The centering assembly is actuatable to selectively center the elongate body in the vessel. A pressure sensor is disposed adjacent the centering assembly and is configured to detect fluid pressure in the vessel. A processing system receives the measured pressure from the pressure sensor, receives data representing the cross-sectional area of the vessel, receives data representing the size of the distal portion, calculates a offset correlation based on the size of the distal portion and based on the size of the vessel, and calculates a fractional flow reserve (FFR) for the vessel as an index of stenosis severity taking into account the offset correlation and the measured fluid pressure from the pressure sensor.

Abstract: Methods and devices useful for monitoring a patient and for monitoring and displaying the value of a physiological parameter are disclosed. In one embodiment, a user interface for a medical monitoring device is provided. The user interface can have a monitoring screen with a current value screen and a trend screen. The current value screen can display a graphical representation of a value of a physiological parameter over time, e.g., over a first time period, and the trend screen can display a graphical representation of a mean value of the parameter over time, e.g., over a second time period. In some embodiments, an out-of-limit condition for the parameter can be indicated with shading. In yet other embodiments, the user interface can provide an event marking screen, which can provide the ability to mark events on a historical trend screen that displays a value of the parameter over time.

Abstract: Systems and methods for integrating and using sensor system in articles of apparel are provided. The system may include an apparel piece sized and dimensioned to be worn on a user and a sensor system integrated with the apparel piece. The sensor system may include at least one stretchable capacitive sensor positioned on the apparel piece so as to measure a biometric parameter of the user when the apparel piece is worn, an illumination system configured to provide illumination in a specified illumination area based on the measured biometric parameter of the user, and a control module to control one or more settings of the illumination system.

Abstract: The present specification discloses systems and methods of patient monitoring in which multiple sensors are used to detect physiological parameters and the data from those sensors are correlated to determine if an alarm should, or should not, be issued, thereby resulting in more precise alarms and fewer false alarms. Electrocardiogram readings can be combined with invasive blood pressure, non-invasive blood pressure, and/or pulse oximetry measurements to provide a more accurate picture of pulse activity and patient respiration. In addition, the monitoring system can also use an accelerometer or heart valve auscultation to further improve accuracy.

Abstract: Disclosed is a device, method and computer readable media for determining the adequacy of Cardiopulmonary Resuscitation (CPR). The device comprises an electrical source generator, an electrical signal sensor receiving a signal from the electrical source generator and a microprocessor. The microprocessor determines changes in impedance of the patient based on the signal received from the electrical signal sensor. Software executing on the microprocessor determines at least one of intrathoracic volume, change in intrathoracic volume, rate of compression, depth of compression, respiratory volume, and respiratory rate based on the change of impedance of the patient and outputs a signal indicating the adequacy of ventilation and compressions.

Abstract: A method and device for calculating at least a first type and a second type of physiological parameter with a wireless measuring device adapted to acquire patient physiological data, the wireless measuring device is configured to operate in at least a first and a second operating mode for processing the physiological data. The method comprises acquiring with the wireless measuring device patient physiological data, and identifying a first identity for the wireless measuring device, the first identity being linked to a first context for operating the wireless measuring device. The method further comprises using the first identity to allow the wireless measuring device to operate in a first operating mode linked to the first identity, and processing the patient physiological data to calculate a first type of physiological parameter, linked to the first operating mode of the wireless measuring device.

Abstract: Systems and methods for detecting worsening cardiac conditions such as worsening heart failure events are described. A system may include sensor circuits to sense physiological signals and signal processors to generate from the physiological signals first and second signal metrics. The system may include a risk stratifier circuit to produce a cardiac risk indication. The system may use at least the first signal metric to generate a primary detection indication, and use at least the second signal metric and the risk indication to generate a secondary detection indication. The risk indication may be used to modulate the second signal metric. A detector circuit may detect the worsening cardiac event using the primary and secondary detection indications.

Abstract: A method and system for measuring respiratory rate are disclosed. In a first aspect, the method comprises measuring at least one respiration signal and filtering the respiration signal using a lowpass filter. The method includes peak-picking the respiration signal to determine the respiratory rate and determining a quality metric of the respiratory rate. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method.

Abstract: An in-vehicle monitoring and intervention system for detecting whether a driver in a vehicle is drowsy by monitoring a plurality of physiological signals of the driver is provided. The in-vehicle monitoring and intervention system includes at least a processor and an apparatus, the apparatus can be integrated into a seat belt or attached thereto as a discrete hardware apparatus, which includes at least an ECG sensor, a respiratory sensor, an acceleration sensor, a filtering system, and an intervention module. The filtering system further comprises one or more filters for suppressing noise and reducing motion artifacts. The processor is configured to compare the detected physiological signals with the signals stored in a learning module of the in-vehicle monitoring and intervention system for determining the drowsiness state. If the driver is determined to be drowsy, a warning signal is outputted to alert the driver.

Abstract: A respiration rate determining apparatus includes: an obtaining unit which obtains accelerations in directions that are mutually different, the accelerations being obtained by an acceleration sensor measuring a body movement by respiration of a user; a transform unit which transforms the accelerations in the directions obtained by the obtaining unit, into spectrum information items in a frequency domain; a phase removing unit which transforms the spectrum information items into amplitude spectra by removing phase information from the spectrum information items; a peak detector which adds up the amplitude spectra and detects a peak frequency based on an amplitude spectrum resulting from the adding up, the peak frequency indicating a respiratory component; and a respiration rate calculator which calculates a respiration rate using the peak frequency.