Apparatus and method for adaptive noise detection in wearable devices

An apparatus for adaptive noise detection in wearable devices,

• wherein the apparatus comprises:
• a sensor, wherein the sensor is configured to receive a physiological signal from a subject;
• at least a processor;
• a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive the physiological signal and a profile training data set, wherein the profile training data set comprises outputs correlated to inputs, wherein the inputs comprise a plurality of physiological signal data and the outputs comprise a plurality of signal characteristic profile data;
• at least a physiological signal input channel configured to receive the physiological signal;
• a dedicated hardware unit, communicatively connected to the at least a processor, configured to sanitize the profile training data set, wherein the dedicated hardware unit comprises circuitry configured to perform signal processing operations, wherein sanitizing the profile training data set comprises:
• determining by the dedicated hardware unit that at least one training data entry of the profile training data set has a signal to noise ratio below a threshold value;
• and
• removing the at least one training data entry from the profile training data set to create a sanitized profile training data set;
• an adaptive noise detector communicatively connected to the at least a physiological signal input channel, wherein the adaptive noise detector comprises a signal characteristic model which is configured to:
• receive the sanitized profile training data set
• train, iteratively, the signal characteristic model using the sanitized profile training data set, wherein training the signal characteristic model includes retraining the signal characteristic model with previous results of the signal characteristic model;
• and
• generate a signal characteristic profile as a function of the physiological signal using the trained signal characteristic model;
• a signal output datapath, wherein the signal output datapath receives the signal characteristic profile and is displayed through a graphical user interface, wherein a user may interact with the signal characteristic profile;
• and
• a decision block operably connected to the at least a processor, wherein the decision block in combination with the at least a processor is configured to:
• determine, based on the signal characteristic profile, that the physiological signal is within a quality tolerance, wherein the quality tolerance is a probability threshold based on a distribution of a plurality of physiological signals;
• and
• transmit a result of whether the physiological signal is within the quality tolerance using the signal output datapath.