| 000 | 00844 a2200241 4500 | ||
|---|---|---|---|
| 005 | 20250517230830.0 | ||
| 264 | 0 | _c20180730 | |
| 008 | 201807s 0 0 eng d | ||
| 022 | _a1424-8220 | ||
| 024 | 7 |
_a10.3390/s18072389 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aVu, Huong Thi Thu | |
| 245 | 0 | 0 |
_aED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses. _h[electronic resource] |
| 260 |
_bSensors (Basel, Switzerland) _cJul 2018 |
||
| 500 | _aPublication Type: Journal Article | ||
| 700 | 1 | _aGomez, Felipe | |
| 700 | 1 | _aCherelle, Pierre | |
| 700 | 1 | _aLefeber, Dirk | |
| 700 | 1 | _aNowé, Ann | |
| 700 | 1 | _aVanderborght, Bram | |
| 773 | 0 |
_tSensors (Basel, Switzerland) _gvol. 18 _gno. 7 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.3390/s18072389 _zAvailable from publisher's website |
| 999 |
_c28665040 _d28665040 |
||