CLIAMS:We claim:
1. A method for monitoring health condition of a subject, the method comprising:
receiving, by a computing unit, physiological signals from a plurality of sensors placed on the subject;
detecting a work-type based on the physiological signals from the plurality of sensors;
assigning a weight to each of the plurality of sensors based on the work-type; and
generating a fatigue score using the physiological signals and the weight of the plurality of sensors, wherein the fatigue score indicates the health condition of the subject.
2. The method as claimed in claim 1, wherein the subject is one of human being and animal.

3. The method as claimed in claim 1, wherein the physiological signals are at least one of Electrocardiography (ECG) signal, Electroencephalography (EEG) signal, Electromyography (EMG) signal and photo-plethysmo-graphy (PPG) signal.

4. The method as claimed in claim 1, wherein each of the plurality of sensors are placed on the subject at a location selected from at least one of head, muscles of arms, muscles of legs, scalp, sternum, midaxillary line, anterior axillary line, ear lobes and finger tips.

5. The method as claimed in claim 1, wherein the detecting of the work-type comprising:
extracting frequency domain values from the physiological signals;
comparing the frequency domain values with a plurality of predefined reference values to identify matching reference value; and
identifying a work type corresponding to the frequency domain value, which is substantially near to or equal to matched reference value.

6. The method as claimed in claim 1, wherein the generating the fatigue score comprising:
determining weighted fatigue for each of the plurality of sensors using the physiological signals and the weight; and
generating a fatigue score from the weighted fatigue of each of the plurality of sensors.
7. The method as claimed in claim 1, wherein the fatigue score is one of single value and multi-dimensional vector quantity.

8. The method as claimed in claim 1 further comprising generating an alarm if the fatigue score is substantially near to or greater than a predefined threshold fatigue score.

9. The method as claimed in claim 1 further comprising displaying the fatigue score on a display unit associated to the computing unit.

10. A computing unit to monitor health condition of a subject, comprising:
at least one processor; and
a memory storing instructions executable by the at least one processor, wherein the instructions configure the at least one processor to:
receive physiological signals from a plurality of sensors placed on the subject;
detect a work type based on the physiological signals;
assign a weight to each of the plurality of sensors based on the work type; and
generate a fatigue score using the physiological signals and the weight of the plurality of sensors, wherein the fatigue score indicates the health condition of the subject.
11. The computing unit as claimed in claim 10, wherein the sensors are at least one of Electrocardiograph (ECG) sensor, Electroencephalography (EEG) sensor, Electromyography (EMG) sensor and photo-plethysmo-graphy (PPG) signal.

12. The computing unit as claimed in claim 10, wherein the instructions further configure the at least one processor to detect the work type comprising:
extract frequency domain values from the physiological signals;
compare the frequency domain values with a plurality of predefined reference values to identify matching reference value; and
identify a work type corresponding to the frequency domain value, which is substantially near to or equal to matched reference value.
13. The computing unit as claimed in claim 10, wherein the instructions further configure the at least one processor to generate the fatigue score:
determine weighted fatigue for each of the plurality of sensors using the physiological signals and the weight; and
generate a fatigue score from the weighted fatigue of each of the plurality of sensors.
14. The computing unit as claimed in claim 10, wherein the instructions further configure the at least one processor to generate an alarm if the fatigue score is substantially near to or greater than a predefined threshold fatigue score.

15. The computing unit as claimed in claim 10, wherein the instructions further configure the at least one processor to display the fatigue score on a display unit associated to the computing unit.

16. A non-transitory computer readable medium including operations stored thereon that when processed by at least one processing unit cause a system to perform the acts of:
receiving physiological signals from a plurality of sensors placed on the subject;
detecting a work-type based on the physiological signals;
assigning a weight to each of the plurality of sensors based on the work-type; and
generating a fatigue score using the physiological signals and the weight of the plurality of sensors, wherein the fatigue score indicates the health condition of the subject.

17. The medium as claimed in claim 16, wherein the instructions further cause the at least one processor to perform the detecting the work type comprising:
extracting frequency domain values from the physiological signals;
comparing the frequency domain values with a plurality of predefined reference values to identify matching reference value; and
identifying a work type corresponding to the frequency domain value, which is substantially near to or equal to matched reference value.

18. The medium as claimed in claim 16, wherein the instructions further cause the at least one processor to perform the generating the fatigue score comprising:
determining weighted fatigue for each of the plurality of sensors using the physiological signals and the weight; and
generating a fatigue score from the weighted fatigue of each of the plurality of sensors.

Dated this 12th day of February 2014
Sravan Kumar Gampa
Of K&S Partners
Agent for the Applicant
,TagSPECI:TECHNICAL FIELD
Embodiments of the present disclosure relate to monitoring physiological signals of a subject. More particularly, the present disclosure relates to monitoring health condition of a subject using physiological signal of a subject.