Systems and method for detecting, diagnosing, and/or treatment of disorders and conditions

A system on chip (SoC) with reduction power consumption and area comprising:

• an analog front-end (AFE) configured to receive a plurality of differential input channels and generate digitized data corresponding to said plurality of differential input channels, said AFE comprising:
• a Dual-Channel Chopper (DC-CHOP) configured to perform channel multiplexing of a first and a second differential input channel of said plurality of differential input channels while simultaneously chopping said first and said second differential input channel;
• a Dual Channel Charge Recycled-AFE (DCCR-AFE) having a Chopper-Stabilized Capacitive-Coupled Instrumentation Amplifier (CS-CCIA) including bias sampling capacitors that store bias values associated with said first and said second differential input channel to enable switching between said first and said second differential input channel;
• and
• a DC servo loop, wherein a setting time of said DC servo loop is reduced based on a reduction in a resistance of a pseudo-resistor (PMOS) of said DC servo loop in response to engaging a system reset (nRST) followed by disengaging nRST;
• and
• a classification processor configured to receive said digitized data from said AFE, said classification processor comprising:
• a Frequency-Time Division Multiplexing (FTDM) Feature Extraction (FE) engine comprising:
• a plurality of first-in-first-outs (FIFOs) configured to store, in parallel, said digitized data corresponding to said plurality of differential input channels;
• a plurality of band-pass filter (BPF) banks storing BPF coefficients, wherein each BPF allows signals to pass within a particular, separate frequency band;
• and
• a single BPF to calculate outputs of one specific bank of said plurality of BPF banks for all of said plurality of differential input channels;
• and
• a Dual-Detector Architecture (D2A) classification processor configured to receive said output data from said FTDM-FE and to approximate a beginning and an end of a seizure, said D2A classification processor comprising a first classifier optimized for only sensitivity and a second classifier optimized for only specificity.