Contributions:RipplePyADC - Revision history

Nluczak at 19:57, 19 December 2025

2025-12-19T19:57:39Z

← Older revision		Revision as of 19:57, 19 December 2025
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	[[Image:RippleDeviceImage.webp\|thumb\|Example Ripple set-up\|450px]]		[[Image:RippleDeviceImage.webp\|thumb\|Example Ripple set-up\|450px]]
			= '''THIS IS OUT OF DATE, PLEASE USE THIS '''[[Contributions:RippleADC\|C++ IMPLEMENTATION]]''' =
	==Introduction==		==Introduction==
	RipplePyADC is a source module that allows for utilization of the Ripple Grapevine and other Ripple devices within BCI2000 through BCPy2000.		RipplePyADC is a source module that allows for utilization of the Ripple Grapevine and other Ripple devices within BCI2000 through BCPy2000.

2024-09-03T21:50:28Z

← Older revision		Revision as of 21:50, 3 September 2024
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			[[Image:RippleDeviceImage.webp\|thumb\|Example Ripple set-up\|450px]]

	==Introduction==		==Introduction==
	RipplePyADC is a source module that allows for utilization of the Ripple Grapevine and other Ripple devices within BCI2000 through BCPy2000.		RipplePyADC is a source module that allows for utilization of the Ripple Grapevine and other Ripple devices within BCI2000 through BCPy2000.

2024-07-19T19:16:59Z

Python API

← Older revision		Revision as of 19:16, 19 July 2024
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	====Python API====		====Python API====

	Ripple has developed a Python interface to Trellis and the Grapevine Neural Interface Processor (NIP) called Xipppy, which is being used in this source module. If there is a functionality that is not implemented, please first check the Python API to see if Ripple has it implemented themselves. If it is missing from this source module but implemented in their API, please contact us to update the source module.		Ripple has developed a Python interface to Trellis and the Grapevine Neural Interface Processor (NIP) called Xipppy, which is being used in this source module. Xipppy is provided by Ripple, please contact them to obtain the API. If there is a functionality that is not implemented, please first check the Python API to see if Ripple has it implemented themselves. If it is missing from this source module but implemented in their API, please contact us to update the source module.

	==How to set up with BCPy2000==		==How to set up with BCPy2000==

2024-05-23T19:46:55Z

Known Issues

← Older revision		Revision as of 19:46, 23 May 2024
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	===Known Issues===		===Known Issues===

			Stimulation has not been implemented yet.

			There may be some block timing issues only visually due to how data is being acquired in BCPy2000. In practice, the data acquired is valid.

			Some data streams may not be available depending on the device and the front-end used.

	==Using the RipplePyADC==		==Using the RipplePyADC==

2024-05-23T19:45:22Z

DataStream

2023-12-12T18:19:11Z

Stimulation

← Older revision		Revision as of 18:19, 12 December 2023
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	If you would like to use stimulation with your Ripple device, there is a separate parameter tab where you can create stimulation segments, sequences, triggers, and trains. This is still currently under development.		If you would like to use stimulation with your Ripple device, there is a separate parameter tab where you can create stimulation segments, sequences, triggers, and trains. This is still currently under development.

			<gallery mode="packed" heights=500px>
			File:Ripple_Stimulation_Parameters.png\|Stimulation Parameters
			</gallery>

	==Parameters==		==Parameters==

2023-12-12T18:18:51Z

Initial Parameters

← Older revision		Revision as of 18:18, 12 December 2023
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	You can also change other parameters as detailed in the parameter guide.		You can also change other parameters as detailed in the parameter guide.

			<gallery mode="packed" heights=500px>
			File:Ripple_Source_Parameters.png\|Source Parameters
			</gallery>

	===Stimulation===		===Stimulation===

2023-12-12T18:08:03Z

@@ Line 133: / Line 133: @@
 It is hard to pinpoint exactly what caused the error in this case, and even Ripple's documentation states that this error lacks any additional information.
 You can also manually edit the python source module and utilize print statements or write to a file within the program. The source module will print out to the designated logger file that was named in the batch file.
 ==Parameters==

2023-12-12T17:51:33Z

SamplingRate

← Older revision		Revision as of 17:51, 12 December 2023
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	===SamplingRate===		===SamplingRate===
	The sample rate of the system. ~~*~~It is important that this parameter matches the sampling rate of the data acquisition function that you want to use. Otherwise, the two frequencies will be out of sync and you will eventually get either an error or a flat line in the signal visualizer.~~*~~		The sample rate of the system. '''It is important that this parameter matches the sampling rate of the data acquisition function that you want to use. Otherwise, the two frequencies will be out of sync and you will eventually get either an error or a flat line in the signal visualizer.'''

	===SourceChOffset===		===SourceChOffset===

2023-12-12T17:51:09Z

Parameters

← Older revision		Revision as of 17:51, 12 December 2023
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	===SamplingRate===		===SamplingRate===
	The sample rate of the system. ~~This~~ parameter ~~can be changed, however it will be overridden by~~ the ~~source module depending on~~ the data ~~stream type~~ that you ~~choose~~.		The sample rate of the system. *It is important that this parameter matches the sampling rate of the data acquisition function that you want to use. Otherwise, the two frequencies will be out of sync and you will eventually get either an error or a flat line in the signal visualizer.*

	===SourceChOffset===		===SourceChOffset===