Connecticut Patent of the Month – October 2021
BioSig Technologies, Inc. is a pioneer in signal processing solutions, focused on unlocking the future of bioelectric medicine. Current electrophysiology (EP) technology is quite limited in its precision. For instance, catheter ablation is a treatment to treat arrhythmias. It is quite common to need multiple ablation procedures as the technology is not precise enough to locate the tissue that is the source of the abnormality. BioSig has developed a system that can reduce the extraneous noise and improve the EP signal acquisition for more precise and reliable results.
Their EP system brings together a combination of hardware and software to address these signal processing challenges. This EP system records raw cardiac (or other physiological) signals. It is equipped with a low-noise amplifier to minimize noise with minimal filtering to band-limit the signal as well as a high-resolution A/D converter. The raw signals are filtered and processed in a software digital processing module which is designed to display the signals in real-time as a raw signal. It can also be displayed as a combination of a raw signal and the processed signal depending on what the technician desires. The processing algorithm can also be modified to process the signal in different ways (eg. More or less reduction in noise, anti-aliasing etc). These multiple processed versions can be displayed at once, creating the most in depth analysis possible.
An example of this processing is as follows. An electrical signal is received at an amplifier and amplified by a gain. The amplitude of the signal is monitored by a pair of diode stages coupled to the amplifier, which monitor the voltage offset. The amplitude is attenuated by these diode stages with set timing banks which control and limit the charge. Ultimately this removes the voltage offset during this time constant. This can then provide the most precise measurement for the electrical procedure. Ultimately, this is a low-noise architecture, large dynamic range, and high frequency bandwidth can accurately capture the full range of cardiac signals with high fidelity, while customizable software modules and filters enable unlimited real-time analysis.
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