Abstract: A method of analyzing a subject's cardiac condition, the method including measuring an ECG or an electrogram signal, extracting a high frequency (HF) portion from a QRS portion of the ECG or electrogram signal, producing a HFQRS signal, calculating a HF value based on analyzing the HFQRS signal, measuring at least one more physiological value associated with the subject, and analyzing the ECG or the electrogram signal based on the HF value and the physiological value. Related apparatus and methods are also described.

Abstract: Method for mapping the transverse relaxation times (T2) in a magnetic resonance imaging (MRI) scan defined over a plurality of pixels, where each pixel is associated with a multicomponent T2 (mcT2) signal, comprises: accessing a computer readable medium storing an mcT2 dictionary having a set of synthetic mcT2 signals, and selecting a subset of synthetic mcT2 signals for which correlations between the synthetic mcT2 signals and pixels in the MRI scan are highest among the set. For each of at least a portion of the pixels, a respective mcT2 scan signal is fitted to the subset to provide, a plurality of T2 values for the pixel. A T2 map of the MRI scan is generated based on the T2 values.

Abstract: Method for mapping the transverse relaxation times (T2) in a magnetic resonance imaging (MRI) scan defined over a plurality of pixels, where each pixel is associated with a multicomponent T2 (mcT2) signal, comprises: accessing a computer readable medium storing an mcT2 dictionary having a set of synthetic mcT2 signals, and selecting a subset of synthetic mcT2 signals for which correlations between the synthetic mcT2 signals and pixels in the MRI scan are highest among the set. For each of at least a portion of the pixels, a respective mcT2 scan signal is fitted to the subset to provide, a plurality of T2 values for the pixel. A T2 map of the MRI scan is generated based on the T2 values.

Abstract: A system for non-invasively detecting changes in human tissues, the system comprising: an Electrical Impedance Tomography (EIT) sensor capable of acquiring readings associated with a group of human tissues of a patient; and a processing resource configured to: obtain reference state information based on a reference EIT reading obtained at a past time, the reference state information being indicative of a reference state of the group of human tissues; acquire, using the EIT sensor, a current reading; analyze the current EIT reading to determine current state information indicative of a current state of the group of human tissues; compare the reference state information with the current state information to determine a change between the reference state of the group of human tissues and the current state of the group of human tissues; and provide output indicative of the change, or lack thereof, to a user of the system.