NeuroDAC: an open-source arbitrary biosignal waveform generator. (5th February 2021)
- Record Type:
- Journal Article
- Title:
- NeuroDAC: an open-source arbitrary biosignal waveform generator. (5th February 2021)
- Main Title:
- NeuroDAC: an open-source arbitrary biosignal waveform generator
- Authors:
- Powell, M P
Anso, J
Gilron, R
Provenza, N R
Allawala, A B
Sliva, D D
Bijanki, K R
Oswalt, D
Adkinson, J
Pouratian, N
Sheth, S A
Goodman, W K
Jones, S R
Starr, P A
Borton, D A - Abstract:
- Abstract: Objective. Researchers are developing biomedical devices with embedded closed-loop algorithms for providing advanced adaptive therapies. As these devices become more capable and algorithms become more complex, tasked with integrating and interpreting multi-channel, multi-modal electrophysiological signals, there is a need for flexible bench-top testing and prototyping. We present a methodology for leveraging off-the-shelf audio equipment to construct a biosignal waveform generator capable of streaming pre-recorded biosignals from a host computer. By re-playing known, well-characterized, but physiologically relevant real-world biosignals into a device under test, researchers can evaluate their systems without the need for expensive in vivo experiments. Approach. An open-source design based on the proposed methodology is described and validated, the NeuroDAC. NeuroDAC allows for 8 independent channels of biosignal playback using a simple, custom designed attenuation and buffering circuit. Applications can communicate with the device over a USB interface using standard audio drivers. On-board analog amplitude adjustment is used to maximize the dynamic range for a given signal and can be independently tuned for each channel. Main results. Low noise component selection yields a no-signal noise floor of just 5.35 ± 0.063. NeuroDAC's frequency response is characterized with a high pass −3 dB rolloff at 0.57 Hz, and is capable of accurately reproducing a wide assortment ofAbstract: Objective. Researchers are developing biomedical devices with embedded closed-loop algorithms for providing advanced adaptive therapies. As these devices become more capable and algorithms become more complex, tasked with integrating and interpreting multi-channel, multi-modal electrophysiological signals, there is a need for flexible bench-top testing and prototyping. We present a methodology for leveraging off-the-shelf audio equipment to construct a biosignal waveform generator capable of streaming pre-recorded biosignals from a host computer. By re-playing known, well-characterized, but physiologically relevant real-world biosignals into a device under test, researchers can evaluate their systems without the need for expensive in vivo experiments. Approach. An open-source design based on the proposed methodology is described and validated, the NeuroDAC. NeuroDAC allows for 8 independent channels of biosignal playback using a simple, custom designed attenuation and buffering circuit. Applications can communicate with the device over a USB interface using standard audio drivers. On-board analog amplitude adjustment is used to maximize the dynamic range for a given signal and can be independently tuned for each channel. Main results. Low noise component selection yields a no-signal noise floor of just 5.35 ± 0.063. NeuroDAC's frequency response is characterized with a high pass −3 dB rolloff at 0.57 Hz, and is capable of accurately reproducing a wide assortment of biosignals ranging from EMG, EEG, and ECG to extracellularly recorded neural activity. We also present an application example using the device to test embedded algorithms on a closed-loop neural modulation device, the Medtronic RC+S. Significance. By making the design of NeuroDAC open-source we aim to present an accessible tool for rapidly prototyping new biomedical devices and algorithms than can be easily modified based on individual testing needs. ClinicalTrials.gov Identifiers: NCT04281134, NCT03437928, NCT03582891 … (more)
- Is Part Of:
- Journal of neural engineering. Volume 18:Number 1(2021)
- Journal:
- Journal of neural engineering
- Issue:
- Volume 18:Number 1(2021)
- Issue Display:
- Volume 18, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 18
- Issue:
- 1
- Issue Sort Value:
- 2021-0018-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02-05
- Subjects:
- waveform generator -- biosignal playback -- closed-loop neuromodulation -- neural interface -- biomedical devices
Neurosciences -- Periodicals
Biomedical engineering -- Periodicals
612.8 - Journal URLs:
- http://iopscience.iop.org/1741-2552/ ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1741-2552/abc7f0 ↗
- Languages:
- English
- ISSNs:
- 1741-2560
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15843.xml