UCLA researchers in the Department of Electrical Engineering have invented a novel neural recording chopper amplifier for neuromodulation systems that can simultaneously record and stimulate.
Closed-loop neuromodulation with simultaneous stimulation and sensing is needed to administer therapy in patients suffering from drug-resistant neurological ailments. However, stimulation generates large artifacts at the recording sites, which saturate traditional front-ends with common-mode (CM) artifacts around 500 mV and differential-mode (DM) artifacts between 50 mV – 100 mV. Although power and noise limitations have been improved in prior work, these methods still suffer from low Zin and limited input signal range, making them incapable of performing true closed-loop operation.
Researchers led by Professor Dejan Markovic have developed an innovative front-end technology that enables implantable neuromodulation systems to record and stimulate simultaneously. This neural recording chopper amplifier can tolerate 80 mVpp DM and 650 mVpp CM artifacts in a signal band of 1 Hz – 5 kHz, with a dynamic range of 74 dB in the spike band and 81 dB in the LFP band. This implantable system overcomes the limitations of wall-plugged systems, such as limited duration of recordings (hours vs. weeks), risk of infection (does not require an open wound), and patient discomfort. Moreover, this system will enable neuroscientists to probe and investigate the brain in ways that current technologies do not support.
Prototype chopper amplifiers have been fabricated in 40 nm CMOS technology with an area of 0.069 mm2/ch, using a total power of 2.8 µW from a 1.2 V core supply.
Country | Type | Number | Dated | Case |
United States Of America | Issued Patent | 11,025,215 | 06/01/2021 | 2017-229 |
Chopper amplifier, closed loop, front-end, low noise, low power, neuromodulation, closed-loop neuromodulation, neural signal recording, dynamic range, common-mode artifacts, differential-mode artifacts, neural stimulation therapy, drug-resistant neurological conditions, epileptic seizures, neuroprosthetics, brain-machine interfaces, neurological investigative tool