Abstract: In one aspect, a computer-implemented method includes receiving a signal corresponding to impedance across a patient's chest cavity; filtering the signal using one or more filters that reduce noise and center the signal around a zero baseline; adjusting an amplitude of the filtered signal based on a threshold value; separating the amplitude-adjusted signal into component signals, where each of the component signals represents a frequency-limited band; detecting a fractional phase transition of a component signal of the component signals; selecting a dominant component signal from the component signals based on amplitudes of the component signals at a time corresponding to the detected fractional phase transition; determining a frequency of the dominant component signal at the time corresponding to the detected fractional phase transition; and determining a respiratory rate of the patient based on the determined frequency.

Abstract: In one aspect, a computer-implemented method includes receiving signals corresponding to wavelengths of light detected by an optical sensor placed in proximity to a patient's body, and for each received signal: separating the signal into an AC signal and a DC signal; separating the AC signal into component signals; analyzing the component signals through a fractional phase transformation to identify a desired component signal and harmonic signals associated with the desired component signal; smoothing the desired component signal, the harmonic signals, and the DC signal; and combining the smoothed desired component signal, the smoothed harmonic signals, and the smoothed DC signal to generate a modulation signal. A modulation ratio signal is generated based on the modulation signals derived from the signals, and a peripheral oxygen saturation (SpO2) of the patient's body is determined based on the modulation ratio signal.

Abstract: Streamlined and integrated patient care and health information management systems and methods for reducing the need for costly, near constant patient monitoring by providing system components that allow healthcare professionals to view the most important data for a number of patients in varying physical locations in a seamless manner are disclosed. Various components of the system can be used to monitor patients; measure, record, and track vital signs; and coordinate patient care in an automated fashion. Patients that have a achieved a relatively stable condition during a recovery process, but who still require or would benefit from near constant, or frequent vital sign monitoring can be provided with one or more body worn vital sign sensors. These patient worn sensors can track vital sign and other information about patients, including patient movement, activity, and sleep patterns.

Abstract: Streamlined and integrated patient care and health information management systems and methods for reducing the need for costly, near constant patient monitoring by providing system components that allow healthcare professionals to view the most important data for a number of patients in varying physical locations in a seamless manner are disclosed. Various components of the system can be used to monitor patients; measure, record, and track vital signs; and coordinate patient care in an automated fashion. Patients that have a achieved a relatively stable condition during a recovery process, but who still require or would benefit from near constant, or frequent vital sign monitoring can be provided with one or more body worn vital sign sensors. These patient worn sensors can track vital sign and other information about patients, including patient movement, activity, and sleep patterns.

Abstract: A system and method for representing quasi-periodic waveforms, for example, representing a plurality of limited decompositions of the quasi-periodic waveform. Each decomposition includes a first and second amplitude value and at least one time value. In some embodiments, each of the decompositions is phase adjusted such that the arithmetic sum of the plurality of limited decompositions reconstructs the quasi-periodic waveform. Data-structure attributes are created and used to reconstruct the quasi-periodic waveform. Features of the quasi-periodic wave are tracked using pattern-recognition techniques. The fundamental rate of the signal (e.g., heartbeat) can vary widely, for example by a factor of 2-3 or more from the lowest to highest frequency. To get quarter-phase representations of a component (e.g.

Abstract: A patient worn sensor assembly for detecting, recording, and communicating patient vital signs includes several structural features that can provide increased signal quality, reduction in signal noise, increased patient comfort, increased reliability, and increased adhesion to a patient's skin. The patient worn sensor can track vital sign information such as blood pressure, body temperature, respiratory rate, blood oxygenation, heart rhythm (via ECG), heart rate, blood glucose level, and hydration (bio-impedance) levels. The sensor can also track and record additional information about patients, including patient movement, activity, and sleep patterns.

Abstract: A patient worn sensor assembly for detecting, recording, and communicating patient vital signs includes several structural features that can provide increased signal quality, reduction in signal noise, increased patient comfort, increased reliability, and increased adhesion to a patient's skin. The patient worn sensor can track vital sign information such as blood pressure, body temperature, respiratory rate, blood oxygenation, heart rhythm (via ECG), heart rate, blood glucose level, and hydration (bio-impedance) levels. The sensor can also track and record additional information about patients, including patient movement, activity, and sleep patterns.