Apparatuses and methods are provided for automatically determining which type of resuscitation treatment is most appropriate for a patient. Methods are provided that include the following. One or more time domain signal measurements are transformed into frequency domain data representative of a frequency content of the one or more time domain signal measurements. The frequency domain data is processed to identify peaks. For each of the peaks, for each of multiple points in time, multiple parameters of the peak are determined. Based on the multiple parameters of the peaks for each of the multiple points in time, a trajectory is determined. The determined trajectory is analyzed in determining a recommended type of resuscitation treatment. An output indication is provided of the recommended type of resuscitation treatment.

Apparatuses and methods are provided for automatically determining which type of resuscitation treatment is most appropriate for a patient. Methods are provided that include the following. One or more time domain signal measurements are transformed into frequency domain data representative of a frequency content of the one or more time domain signal measurements. The frequency domain data is processed to identify peaks. For each of the peaks, for each of multiple points in time, multiple parameters of the peak are determined. Based on the multiple parameters of the peaks for each of the multiple points in time, a trajectory is determined. The determined trajectory is analyzed in determining a recommended type of resuscitation treatment. An output indication is provided of the recommended type of resuscitation treatment.

Apparatus for automatically determining which type of resuscitation treatment is most appropriate for a patient. The apparatus comprising at least one processor, circuitry for delivering time-domain signal measurements to the processor(s), which transforms the time-domain signal measurements into frequency domain data representative of a frequency content of the time-domain signal measurements, processes the frequency domain data to form a plurality of spectral bands, a content of each of the plurality of spectral bands representing the frequency content of the time-domain signal measurements within a different frequency band, form a weighted sum of the content of the plurality of spectral bands, with different weighting coefficients applied to the plurality of spectral bands, wherein magnitudes of the weighting coefficients are non-linearly proportional to frequencies of the plurality of spectral bands to which the weighting coefficients are applied, and determines the type of resuscitation treatment based on the weighted sum.

A method for determining functional status of at least one immune cell type in at least one sample of a subject comprises determining the functional status of the at least one immune cell type based on activity of at least one signaling pathway in the at least one immune cell type in the at least one sample of the subject; and optionally providing the functional status of the at least one immune cell type in the at least one sample of the subject.

Apparatuses and methods are provided for automatically determining which type of resuscitation treatment is most appropriate for a patient. Methods are provided that include the following. One or more time domain signal measurements are transformed into frequency domain data representative of a frequency content of the one or more time domain signal measurements. The frequency domain data is processed to identify peaks. For each of the peaks, for each of multiple points in time, multiple parameters of the peak are determined. Based on the multiple parameters of the peaks for each of the multiple points in time, a trajectory is determined. The determined trajectory is analyzed in determining a recommended type of resuscitation treatment. An output indication is provided of the recommended type of resuscitation treatment.

A method of automatically determining which type of treatment is most appropriate for (or the physiological state of) a patient. The method comprises transforming one or more time domain measurements from the patient into frequency domain data representative of the frequency content of the time domain measurements; processing the frequency domain data to form a plurality of spectral bands, the content of a spectral band representing the frequency content of the measurements within a frequency band; forming a weighted sum of the content of the spectral bands, with different weighting coefficients applied to at least some of the spectral bands; determining the type of treatment (or physiological state) based on the weighted sum.

A method for determining functional status of at least one immune cell type in at least one sample of a subject comprises determining the functional status of the at least one immune cell type based on activity of at least one signaling pathway in the at least one immune cell type in the at least one sample of the subject; and optionally providing the functional status of the at least one immune cell type in the at least one sample of the subject.