Approximate Computing-Based Processing of MEA Signals on FPGA Article Swipe
Mohammad Hassan
,
Falah Awwad
,
Mohamed Atef
,
Osman Hasan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12040848
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/electronics12040848
Microelectrode arrays (MEAs) are essential equipment in neuroscience for studying the nervous system’s behavior and organization. MEAs are arrays of parallel electrodes that work by sensing the extracellular potential of neurons in their proximity. Processing the data streams acquired from MEAs is a computationally intensive task requiring parallelization. It is performed using complex signal processing algorithms and architectural templates. In this paper, we propose using approximate computing-based algorithms on Field Programmable Gate Arrays (FPGAs), which can be very useful in custom implementations for processing neural signals acquired from MEAs. The motivation is to provide better performance gains in the system area, power consumption, and latency associated with real-time processing at the cost of reduced output accuracy within certain bounds. Three types of approximate adders are explored in different configurations to develop the signal processing algorithms. The algorithms are used to build approximate processing systems on FPGA and then compare them with the accurate system. All accurate and approximate systems are tested on real biological signals with the same settings. Results show an enhancement in processing speed of up to 37.6% in some approximate systems without a loss in accuracy. In other approximate systems, the area reduction is up to 14.3%. Other systems show the trade between processing speed, accuracy, and area.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics12040848
- https://www.mdpi.com/2079-9292/12/4/848/pdf?version=1675837168
- OA Status
- gold
- Cited By
- 2
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319596546
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4319596546Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics12040848Digital Object Identifier
- Title
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Approximate Computing-Based Processing of MEA Signals on FPGAWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-08Full publication date if available
- Authors
-
Mohammad Hassan, Falah Awwad, Mohamed Atef, Osman HasanList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics12040848Publisher landing page
- PDF URL
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https://www.mdpi.com/2079-9292/12/4/848/pdf?version=1675837168Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://www.mdpi.com/2079-9292/12/4/848/pdf?version=1675837168Direct OA link when available
- Concepts
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Field-programmable gate array, Computer science, Signal processing, Latency (audio), Parallel processing, Adder, Digital signal processing, Parallel computing, Algorithm, Computer hardware, Computer engineering, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2521706094, https://openalex.org/W3005279921, https://openalex.org/W2076779154, https://openalex.org/W4296307060, https://openalex.org/W3048516451, https://openalex.org/W961498053, https://openalex.org/W2885684889, https://openalex.org/W2608904456, https://openalex.org/W2244005500, https://openalex.org/W3048414096, https://openalex.org/W2035378788, https://openalex.org/W2985336152, https://openalex.org/W2106926040, https://openalex.org/W1984566507, https://openalex.org/W3213064549, https://openalex.org/W2055125236, https://openalex.org/W2034457881, https://openalex.org/W2563408576, https://openalex.org/W3082377459, https://openalex.org/W3092510799, https://openalex.org/W2137462381, https://openalex.org/W3096792268, https://openalex.org/W2021417436, https://openalex.org/W2808774331, https://openalex.org/W3129384614, https://openalex.org/W4200069020, https://openalex.org/W3127701397, https://openalex.org/W3120448834, https://openalex.org/W4214819191, https://openalex.org/W2919007701, https://openalex.org/W2963587890 |
| referenced_works_count | 31 |
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| corresponding_author_ids | https://openalex.org/A5088563267 |
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| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I201726411 |
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| sustainable_development_goals[0].display_name | Affordable and clean energy |
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| citation_normalized_percentile.is_in_top_10_percent | False |