Patent ID: 11872040
Assignee: TATA CONSULTANCY SERVICES LIMITED
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 3:
4. A system for assessment of cognitive load from bio-potentials, comprising:
a memory storing instructions;
one or more Input/Output (I/O) interfaces; and
one or more hardware processors coupled to the memory via the one or more I/O interfaces, wherein the one or more hardware processors are configured by the instructions to:
acquire via a multichannel wearable endosomatic device, a plurality of bio-potential signals, wherein
the plurality of bio-potential signals provides a task specific data of a subject performing a cognitive task, and
the cognitive task including one or a high load task or a low load task, and
the plurality of bio-potential signals is time stamped;

extract baseline data and task data based on time stamps associated with each of the plurality of bio-potential signals, by the one or more hardware processors, wherein
the baseline data corresponds to segment of each of the plurality of bio-potential signals when the subject experiences a nil cognitive load during the cognitive task being performed, and
the task data corresponds to segment of each of the plurality of bio-potential signals when the subject experiences an active cognitive load during the cognitive task being performed;
derive a plurality of deviation signals from the plurality bio-potential signals by:
computing mean of each of baseline data and the task data; and
subtracting the computed mean from each of the baseline data and the task data;

extract a plurality of features from the plurality of deviation signals, wherein the plurality of features comprising a statistical set of features and a spectral set of features, wherein the spectral set of features comprises a mean frequency, a power at the mean frequency, a total power, a mean power, a median frequency, a power at median frequency, a peak frequency, a peak power, a signal band-power, a first moment, a second moment, and a third moment;
determine an optimum set of features from the plurality of features wherein the determined set of features best differentiates between the high load task or the low load task; and
train a classifier for classifying the cognitive task into one of the high load task and the low load task using the determined set of features wherein the determined set of features is labeled as corresponding to the high load task or the low load task.