| Título |
Digital Fixed-point Low powered Area efficient Function estimation for implantable devices |
| Autores |
ROMAINE, JAMES BRIAN, ASHLEY, THOMAS IAN, PEREIRA MARTÍN, MARIO |
| Publicación externa |
No |
| Medio |
IEEE Access |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
2 |
| Cuartil SJR |
1 |
| Impacto JCR |
3.9 |
| Impacto SJR |
0.926 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133796765&doi=10.1109%2fACCESS.2022.3187439&partnerID=40&md5=a3f589459e5720a3bfe97748f93169ad |
| Fecha de publicacion |
30/06/2022 |
| ISI |
000838451100001 |
| Scopus Id |
2-s2.0-85133796765 |
| DOI |
10.1109/ACCESS.2022.3187439 |
| Abstract |
This article introduces a new multiplier-less 32-bit fixed point architecture for estimating complex non-linear functions based on adapted shift only series expansions. This novel hardware structure has been proposed for use as a dedicated core unit in implantable medical devices. Its implementation in FPGA produces a mean squared error of 0.23% over the functions <italic>sin</italic>(<italic>x</italic>),<italic>cos</italic>(<italic>x</italic>),<italic>eix</italic> and <italic>tan</italic>-1(<italic>x</italic>) when compared to unrestricted CPU implementations. These results are achieved with the use of only 133 sliced registers and 399 Look-up-tables (LUTs). Furthermore, the hardware performs extremely well in our hardware-in-the-loop real use case application for the detection of epilepsy by correctly detecting true positive seizures. When implemented into 130 nm technology via <italic>GOOGLE Sky130 PDK</italic> and <italic>Openlane</italic> EDA tools, the ASIC occupies a space of 0.0625 mm2 which represents a 47% reduction when compared to competitors. In addition, its power consumption is reduced to 6.46 mW at 100 MHz <italic>f<sub>o</sub></italic> and just 0.4 μW at 1KHz <italic>f<sub>o</sub></italic>. Author |
| Palabras clave |
Biomedical signal processing; Digital devices; Field programmable gate arrays (FPGA); Implants (surgical); Locks (fasteners); Low power electronics; Mathematical transformations; Table lookup; Timing circuits; Area optimization; Biomedical sensors; Epilepsy; Field programmable gate array; Field programmables; Functions approximations; Hardware; Hilbert transform; Implant; Low Power; Phase-Locking values; Power demands; Programmable gate array; Mean square error |
| Miembros de la Universidad Loyola |
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