A simple encoding method for Sigma-Delta ADC based biopotential acquisition systems

Abstract

Sigma Delta analogue-to-digital converters allow acquiring the full dynamic range of biomedical signals at the electrodes, resulting in less complex hardware and increased measurement robustness. However, the increased data size per sample (typically 24 bits) demands the transmission of extremely large volumes of data across the isolation barrier, thus increasing power consumption on the patient side. This problem is accentuated when a large number of channels is used as in current 128-256 electrodes biopotential acquisition systems, that usually opt for an optic fibre link to the computer. An analogous problem occurs for simpler low-power acquisition platforms that transmit data through a wireless link to a computing platform. In this paper, a low-complexity encoding method is presented to decrease sample data size without losses, while preserving the full DC-coupled signal. The method achieved a 2.3 average compression ratio evaluated over an ECG and EMG signal bank acquired with equipment based on Sigma-Delta converters. It demands a very low processing load: a C language implementation is presented that resulted in an 110 clock cycles average execution on an 8-bit microcontroller.

A Low Power Sigma-Delta Modulator with Hybrid Architecture

“…All of these devices require that the conversion chip has a high signal-to-noise ratio (SNR). There are many types of ADCs [ 4 ], and the traditional ones are pipelined, successive approximation register (SAR) and Σ-Δ, which have been developed rapidly in recent years.…”