Abstract: A system and method for hemodynamic dysfunction detection may include at least one sensor configured to received one or more signals from a patient, a computing device in data communication with the at least one sensor, a computer-readable storage medium in communication with the computing device, an input device, and an output device. The system may include computer readable instructions to cause the system to receive at least one signal in the time domain from the sensor, determine at least one metric in the frequency domain from the at least one signal in the time domain, and determine the cardiovascular state of the patient from a combination of the at least one metric in the frequency domain and information contained in at least one database of cardiovascular states. The system may also notify a user of a immanent patient cardiovascular event and recommend one or more interventions to mitigate it.

Abstract: A system and method for evaluating the respiratory health of a patient and indicating and characterizing respiratory stress includes a sensor in operative communication with a patient for generating at least one biological signal, having a waveform curve in the time domain. The biological signal is processed and a waveform curve is computed, reflective of the respiration rate of the patient. A correlation is then determined between the biological signal waveform curve and respiration rate waveform curve and a respective correlation coefficient is determined. Frequency analysis is performed on the biological signal and a determination is made of a respiration metric reflective of the ratio of spectral components associated with the respiration component of the biological signal in relation to the total spectral components for the biological signal. The correlation coefficient and the respiration metric are combined to form a respiratory stress metric for displaying to a user.

Abstract: A method for identifying cardiac bradycardia behavior may include acquiring pulse volume wave data from a sensor associated with a patient, and calculating metrics associated with peaks detected therein. The metrics may include changes in peak amplitudes of pulse volume peaks and in the times of occurrence of pulse volume peaks. Alternative metrics may include changes in frequency domain parameters derived from the time domain pulse volume wave data. Peak amplitude values may be compared to an amplitude baseline, and differences in successive peak occurrence times may be compared to a time baseline. Cardiac bradycardia behavior may be identified by a combination of a decrease in the pulse volume peak amplitude and an increase in successive peak occurrence times. A system to implement the method may include a computing device in data communication with a photo-plethysmograph. Alternative sensors may include a blood pressure cuff and an ECG device.

Abstract: The invention provides early feedback to clinician or caregiver so that they may characterize the adequacy of the cardiorespiratory system over short-term time intervals. In that way, any deficiencies may be readily detected and treated before the patient's compensatory capacity is compromised. In one embodiment, a biological signal, having a waveform, is processed for deriving a perfusion parameter and a baseline value for the perfusion parameter. The invention monitors, in real time, the derived perfusion parameter and determines a variation of the computed perfusion parameter from the baseline value. The determined variation of the derived perfusion parameter is evaluated with respect to at least one variation threshold. A duration of time associated with the determined variation is measured that is reflective of the amount of time the derived perfusion parameter variation is above or below the at least one variation threshold.

Abstract: A system and method for evaluating the respiratory health of a patient and indicating and characterizing respiratory stress includes a sensor in operative communication with a patient for generating at least one biological signal, having a waveform curve in the time domain. The biological signal is processed and a waveform curve is computed, reflective of the respiration rate of the patient. A correlation is then determined between the biological signal waveform curve and respiration rate waveform curve and a respective correlation coefficient is determined. Frequency analysis is performed on the biological signal and a determination is made of a respiration metric reflective of the ratio of spectral components associated with the respiration component of the biological signal in relation to the total spectral components for the biological signal. The correlation coefficient and the respiration metric are combined to form a respiratory stress metric for displaying to a user.

Abstract: A system and method for hemodynamic dysfunction detection may include at least one sensor configured to received one or more signals from a patient, a computing device in data communication with the at least one sensor, a computer-readable storage medium in communication with the computing device, an input device, and an output device. The system may include computer readable instructions to cause the system to receive at least one signal in the time domain from the sensor, determine at least one metric in the frequency domain from the at least one signal in the time domain, and determine the cardiovascular state of the patient from a combination of the at least one metric in the frequency domain and information contained in at least one database of cardiovascular states. The system may also notify a user of a immanent patient cardiovascular event and recommend one or more interventions to mitigate it.

Abstract: A holder for securing a sensor against a skin surface includes a body element made of a foam material. The body element has a recess formed therein configured for receiving and containing a sensor. A backing element is positioned proximate a face surface of the body element for closing the recess. An adhesive element is coupled with a face surface of the body element opposite the backing element for adhering the body element to a skin surface so a sensor contained therein presses against the skin surface. A back pad made of a foam material is configured for being positioned in the recess to underlie a sensor received in the recess. The back pad is configured to be compressed within the recess when the body element is adhered to a skin surface to provide a contact force for directing the sensor against the skin surface.

Abstract: Peripheral blood flow signals of a feature can be acquired and analyzed to determine blood flow characteristics for evaluating a physiological condition. Paradigmatic characteristics of blood flow of the feature can be used to associate a physiological condition with a subject. Upon determination that a blood flow characteristic is associated with a physiological condition, action can be taken. For example, the physiological condition can be monitored and given early treatment.