Method and system for monitoring thoracic tissue fluid

1. A method for identifying a misplacement of a wearable monitoring apparatus using at least one hardware processor and at least one antenna element, comprising:

intercepting, using at least one antenna element of the wearable monitoring apparatus, radio frequency (RF) signals at a range of 0.3 gigahertz (GHZ) to 20 GHZ from the at least one thoracic tissue of a patient in each of a plurality of radiation sessions;

using at least one hardware processor to extract at least one feature from the RF signals, the at least one feature is selected from a group consisting a phase and an amplitude of the RF signals;

identifying a misplacement of the wearable monitoring apparatus on the body of the user based on at least one of an unexpected change to the at least one feature and an irregular pattern detected from an analysis of the at least one feature; and

outputting a notification indicative of the misplacement.

2. The method of claim 1 , further comprising detecting a dielectric related property of the at least one thoracic tissue according to the at least one feature;

determining a pulmonary fluid content level in the at least one thoracic tissue according to the dielectric related property; and

outputting a notification based on the pulmonary fluid content level.

3. The method of claim 2 , wherein the dielectric related property is detected by using a predefined chest wall model for identifying the segment the predefined chest wall model is adjusted according to at least one of medical information, a predefined cycle, and imaging data related to the patient.

4. The method of claim 2 , further comprising monitoring a biological parameter of the patient using a medical sensor, the determining being performed according to a combination of data based on the RF signals and the biological parameter wherein the medical sensor is selected from a group consisting of an electrocardiogram (ECG), an electromyogram (EMG), an ultrasound transducer, a pulse oximeter, a blood pressure sensor, coagulometer, and optical blood saturation detector.

5. The method of claim 1 , further comprising identifying a posture of the patient from an analysis of the at least one feature.

6. The method of claim 1 , further comprising identifying an activity level from an analysis of the at least one feature, the determining being performed with respect to the effect of the activity level on a dielectric related property of the at least one thoracic tissue.

7. The method of claim 1 , further comprising identifying a breathing cycle of the patient and modulating the RF signals according to the breathing cycle.

8. A wearable monitoring apparatus configured to identify a misplacement, comprising:

a probe having at least one antenna element to intercept radio frequency (RF) signals at a range of 0.3 gigahertz (GHZ) to 20 GHZ from at least one thoracic tissue of a patient;

at least one hardware processor configured to:

perform an RF signal analysis to extract at least one feature from the RF signals, the at least one feature is selected from a group consisting a phase and an amplitude of the RF signals, and

identify a misplacement of the wearable monitoring apparatus on the body of the user based on at least one of an unexpected change to at least one feature and an irregular pattern detected from an analysis of the at least one feature; and

an output unit adapted to output a notification indicative of the misplacement;

wherein the probe and the at least one hardware processor are configured for respectively performing the interception and the RF signal analysis in a plurality of radiation sessions.

9. The wearable monitoring apparatus of claim 8 , further comprising an attachment element configured for attaching the wearable monitoring apparatus to a thorax of the patient.

10. The wearable monitoring apparatus of claim 8 , wherein the at least one hardware processor is adapted to detect a dielectric related property according to the at least one feature; wherein the dielectric related property is indicative of a member of a group consisting of: an accumulation of pulmonary fluid content, a dispersion of pulmonary fluid content, a concentration change in distribution of the pulmonary fluid, and a change composition of pulmonary fluid content.

11. The wearable monitoring apparatus of claim 8 , further comprising an interface configured for communicating with a medical device adapted to examine breathing volumes of the patient, the at least one hardware processor being configured for performing the RF analysis according to the breathing volumes.

12. The wearable monitoring apparatus of claim 8 , wherein the at least one hardware processor is configured to determine a pathological indicator according to the at least one feature; wherein the output unit generates a notification in response to the pathological indicator.

13. The wearable monitoring apparatus of claim 8 , wherein the probe having a plurality of antenna elements for intercepting the RF signals from a plurality of different areas in the body of the patient.

14. The wearable monitoring apparatus of claim 8 , wherein in response to the misplacement, the at least one hardware processor instructs changing the RF signals.

15. The wearable monitoring apparatus of claim 8 , wherein the plurality of radiation sessions is intermittent.

16. The wearable monitoring apparatus of claim 8 , further comprising a medical sensor to monitor a biological parameter of the patient.

17. The wearable monitoring apparatus of claim 16 , wherein the at least one hardware processor is further configured to determine a pulmonary fluid content level in the at least one thoracic tissue based on the RF signals and the biological parameter.

18. The wearable monitoring apparatus of claim 16 , wherein the medical sensor is selected from a group consisting of an electrocardiogram (ECG), an electromyogram (EMG), an ultrasound transducer, a pulse oximeter, a blood pressure sensor, coagulometer, and optical blood saturation detector.

19. The wearable monitoring apparatus of claim 16 , wherein the medical sensor includes a plurality of ultrasound transducers separated from one another by one or more wavelengths.

20. The wearable monitoring apparatus of claim 8 , wherein the at least one hardware processor is further configured to determine a posture of the patient from an analysis of the at least one feature.