4 layers80 × 54 mm
4 layers85.9 × 94.4 mm
Final handsEMG
blakep7/HANDS-EMG1- Size
- 85.9 × 94.4 mm
- Copper layers
- 4
- Thickness
- 1.6 mm
- Parts
- 207
- Nets
- 267
- Pads
- 815
- Tracks, vias
- 1,922, 372
- Pours
- 7
- Routed
- Yes
- KiCad
- KiCad 9.0 (file 20241229)
- Created
- 13 Sep 2024
- Updated
- 28 Aug 2025
Overview
Final handsEMG is an open-source printed circuit board by blakep7, from the blakep7/HANDS-EMG repository on GitHub. It is a 4-layer board of 85.9 × 94.4 mm with 207 parts on 267 nets, routed with 1,922 tracks and 372 vias.
It is built around the FT231XQ-R, TPD4E1B06DCKR-TP and CKCL44X7R1H102M085AA, with the ESDALC6V1W5 and ESDALC6V1-1U2-ES among its other parts. Its parts include 41 capacitors, 6 resistors, 6 diodes, 4 inductors and 2 ICs.
Main components
5
FT231XQ-R
QFN-20-EP(4x4)-40℃~+85℃ 125uA 3.3V~5V 8mA USB 2.0 USB to UART QFN-20-EP(4x4) USB Converters ROHSFTDIUSB Converters
TPD4E1B06DCKR-TP
SOT-3630.6pF 14.5V 5.5V 9.5V 900pA Bidirectional ESD Four channels IEC 61000-4-2、IEC 61000-4-5、IEC 61000-4-4 SOT-363 ESD and Surge Protection (TVS/ESD) ROHSTECH PUBLICESD And Surge Protection (TVS/ESD)CKCL44X7R1H102M085AA
SMD-8PSMD-8P New Arrivals ROHSTDKUncategorised
ESDALC6V1W5
SOT-323-5-40℃~+150℃ 1uA 25W 3V 6.1V 6.1V 7.5pF Four channels IEC 61000-4-2 TVS Unidirectional SOT-323-5 ESD and Surge Protection (TVS/ESD) ROHSSTMicroelectronicsESD And Surge Protection (TVS/ESD)
ESDALC6V1-1U2-ES
DFN0603-2LESD And Surge Protection (TVS/ESD)ElecSuper
README
README.mdHANDS-EMG
HANDS-EMG is a real-time embedded system designed to read a user's EMG signals and classify their hand movements.
Project Description
A battery-powered surface electromyography (sEMG) sensor system designed to classify hand movements based on the wearer's muscle activity. The device utilizes four channels of wet electrodes placed on the user's forearm to capture sEMG signals. These signals are processed through our procured analog front-end module operating at 2000Hz. The digitized signals are transmitted to our microcontroller via SPI, where a machine learning algorithm classifies the hand movements based on a pre-trained model. The system will output the movement classifications via USB, which can be visualized on a PC simulator. Designed for efficiency, the device operates at a voltage of 3.7V provided by a rechargeable lithium polymer battery for portability. The current ML model only classifies 3 hand movements: Wrist Flexion, Wrist Extension, and Fist Clench.
Videos
Project Overview (Entire Design Process)
Team
- Blake Pearson
- Noah Marosok
- Kelly Hubbard
- Jayden Sumbillo
- Kirk Young
About
Developed at San Diego State University.
College of Engineering -- Department of Electrical and Computer Engineering (ECE)
Parts
207| Qty | Value | Footprint | References |
|---|---|---|---|
| 14 | 100nF | CC0603KRX7R7BB104:CAPC1608X90 | sC28, sC29, sC30, sC31, sC32, sC33, sC34, sC49, sC50, sC51, sC53, sC57, sC58, sC61 |
| 9 | 1uF | CC0402KRX7R5BB105:CAP_CC0402KRX7R5BB105_YAG | C6, C7, C14, C17, C18, C19, C21, C22, C27 |
| 8 | 10uF | GRM219R61A106KE44D:CAPC2012X95N | C45, C46, C50, C51, C60, C61, C65, C66 |
| 6 | 0.1uF | CC0402KRX7R7BB104:YAG_CC0402_YAG | C5, C12, C13, C15, C24, C28 |
| 6 | 10K | 03PowerFOOTPRINTS:CRCW04021K00JNED | pR34, pR35, pR80, pR81, pR82, pR83 |
| 6 | 1uF | 03PowerFOOTPRINTS:C1005X5R0J105M | pC1, pC4, pC5, pC8, pC9, pC11 |
| 6 | TPD4E1B06DCKR | TPD4E1B06DCKR:DCK6_TEX | D2, D3, D4, D5, D6, D7 |
| 5 | 1uF | GRM188R61E105KA12D:CAPC1608X90N | C47, C48, C49, C58, C62 |
| 5 | 2.2K | CAY16-2201F4LF:CAY16_BRN | R1, R2, R3, R4, R6 |
| 5 | CKCL44X7R1H102M085AA | CKCL44X7R1H102M085AA:CAPCAF50P200X125X85-8 | C3, C9, C11, C26, C34 |
| 4 | 1 | 03PowerFOOTPRINTS:CRCW04021R00JNED | pR2, pR29, pR30, pR31 |
| 4 | 10pF | 03PowerFOOTPRINTS:04025A100KAT | pC15, pC20, pC22, pC24 |
| 4 | 20 | 03PowerFOOTPRINTS:CRCW040220R0FKED | pR13, pR18, pR23, pR26 |
| 4 | 3.3uH | MLZ2012A3R3W:INDC2012X87N | L1, L2, L4, L5 |
| 3 | 0 | 03PowerFOOTPRINTS:CRCW04020000Z0EDC | pR4, pR10, pR12 |
| 3 | 0.1uF | 03PowerFOOTPRINTS:C1005X5R1C104K | pC16, pC28, pC29 |
| 3 | 10uF | 03PowerFOOTPRINTS:C1608X5R0J106M | pC12, pC21, pC23 |
| 3 | 2.2uF | GRM185R60J225KE26D:CAP_GRM18_MUR | C59, C63, C64 |
| 3 | 22uF | 03PowerFOOTPRINTS:JMK212BJ226MG-T | pC6, pC7, pC19 |
| 2 | 100K | 03PowerFOOTPRINTS:CRCW0402100KFKED | pR3, pR9 |
| 2 | 10K | RC0603FR-0710KL:RESC1607X60N | sR38, sR52 |
| 2 | 10K (DNP) | RC0603FR-0710KL:RESC1607X60N | sR54, sR55 |
| 2 | 1K | 03PowerFOOTPRINTS:CRCW04021K00JNED | pR5, pR7 |
| 2 | 1K | RT0402FRE071KL:RC0402N_YAG | dR6, dR7 |
| 2 | 1uF | TAJA105K016R:CAPMP3216X166 | sC56, sC59 |
| 2 | 2.2K | 03PowerFOOTPRINTS:CRCW04022K20FKED | pR6, pR8 |
| 2 | 2.2uH | 03PowerFOOTPRINTS:LPS4018-222MLC | pL2, pL3 |
| 2 | 27 | RC0402FR-0722RL:RC0402N_YAG | dR1, dR2 |
| 2 | 330 | RC0603FR-07330RL:RESC1607X60N | sR41, sR43 |
| 2 | 330 | RC0402JR-07330RL:RC0402N_YAG | dR3, dR4 |
| 2 | 4.7uF_X54_0603 | CC0603KRX5R7BB475:CAPC1608X90 | sC52, sC54 |
| 2 | 4.7uH | LPS4018_472MRC:IND_LPS4018-472MRC | pL4, pL5 |
| 2 | 47K | RC0603FR-0747KL:RESC1608X55 | sR49, sR51 |
| 2 | 47pF | GRM0335C1E470JA01D:G-033_MUR | dC2, dC3 |
| 1 | +2V5 | 5001:KEYSTONE_5001 | TP7 |
| 1 | +3V3 | 5000:KEYSTONE_5000 | TP4 |
| 1 | +5V | 5001:KEYSTONE_5001 | TP6 |
| 1 | -2V5 | 5001:KEYSTONE_5001 | TP8 |
| 1 | -5V | 5001:KEYSTONE_5001 | TP5 |
| 1 | 0.01uF | GRM188R71H103KA01D:CAPC1608X90N | C67 |
| 1 | 0.01uF | CC0402KRX7R7BB103:CC0402N_YAG | dC1 |
| 1 | 0.1uF | GRM188R71H104KA93D:CAPC1608X90N | C57 |
| 1 | 100 | RC0603FR-07100RL:RESC1607X60N | sR44 |
| 1 | 100nF | CC0402KRX7R7BB104:YAG_CC0402_YAG | sC41 |
| 1 | 100uF | 03PowerFOOTPRINTS:GRM31CR60J107ME39L | pC13 |
| 1 | 100uF | CC1206MKX5R5BB107:CAP_CC1206_YAG | C2 |
| 1 | 105K | 03PowerFOOTPRINTS:CRCW0402105KFKED | pR22 |
| 1 | 10uF | 03PowerFOOTPRINTS:GRM21BR61A106KE19 | pC2 |
| 1 | 10uF | GRM188C80G106KE47D:CAPC1608X90N | C1 |
| 1 | 10uF | 03PowerFOOTPRINTS:GRM21BR61A106KE19L | pC3 |
| 1 | 121K | 03PowerFOOTPRINTS:CRCW0402121KFKED | pR21 |
| 1 | 15K | 03PowerFOOTPRINTS:CRCW040215K0FKED | pR19 |
| 1 | 16.9K | 03PowerFOOTPRINTS:CRCW040216K9FKED | pR15 |
| 1 | 1M | RC0402JR-071ML:RC0402N_YAG | R5 |
| 1 | 1nF | CC0402KRX7R7BB102:YAG_CC0402_YAG | C16 |
| 1 | 1uF_X5R_0603 | CC0603KRX5R7BB105:CAPC1608X90 | sC60 |
| 1 | 2.2uF | 03PowerFOOTPRINTS:C1608X5R0J225M | pC10 |
| 1 | 220K | RC0603FR-07220KL:RESC1607X60N | sR42 |
| 1 | 22K | RC0603FR-0722KL:RESC1607X60N | sR48 |
| 1 | 232K | 03PowerFOOTPRINTS:CRCW0402232KFKED | pR27 |
| 1 | 2K | 03PowerFOOTPRINTS:CRCW04022K00FKED | pR17 |
| 1 | 3.01K | 03PowerFOOTPRINTS:CRCW04023K01FKED | pR16 |
| 1 | 3.3uH | 03PowerFOOTPRINTS:LPS4018-332MLC | pL1 |
| 1 | 324K | 03PowerFOOTPRINTS:CRCW0402324KFKED | pR20 |
| 1 | 330pF | 03PowerFOOTPRINTS:04025A331KAT | pC17 |
| 1 | 33pF | 03PowerFOOTPRINTS:04025A330KAT | pC18 |
| 1 | 4.7uF | TAJA475K016R:CAPMP3216X166 | sC42 |
| 1 | 464K | 03PowerFOOTPRINTS:CRCW0402464KFKED | pR28 |
| 1 | 47uF | 03PowerFOOTPRINTS:LMK316BJ476ML-T | pC14 |
| 1 | 620 | RC0603FR-07620RL:RESC1608X55N | sR45 |
| 1 | 649K | 03PowerFOOTPRINTS:CRCW0402649KFKED | pR25 |
| 1 | 806K | 03PowerFOOTPRINTS:CRCW0402806KFKED | pR24 |
| 1 | 88.7k | 03PowerFOOTPRINTS:CRCW040288K7FKED | pR14 |
| 1 | 9013 | MMBT9013:SOT-23 | sT2 |
| 1 | ADS1299CPAG | ADS1299CPAG:QFP64P50_1200X1200X120L60X22N | U1 |
| 1 | Conn_02x13_Odd_Even | 68021_226HLF:AMPHENOL_68021-226HLF | J1 |
| 1 | D_Small | ESDALC6V1-1M2:SOD882_STM | dD3 |
| 1 | ESDALC6V1W5 | ESDALC6V1W5:SOT65P210X110-5N | sD10 |
| 1 | ESDALC6V1_1U2 | ESDALC6V1-1U2:DIODE_ESDALC6V1-1U2 | sD6 |
| 1 | FT231XQ-R | FT231XQ-R:QFN20_FT231XQ_FTD | U4 |
The 177 most common of 207 parts.
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Questions
How big is the Final handsEMG PCB?
It measures 85.9 × 94.4 mm and has 4 copper layers, 1.6 mm thick.
What parts does the Final handsEMG use?
207 parts, built around the FT231XQ-R, TPD4E1B06DCKR-TP, CKCL44X7R1H102M085AA and ESDALC6V1W5. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.
Where can I download the Final handsEMG KiCad files?
From the blakep7/HANDS-EMG repository on GitHub, at the commit this page was made from: the board is hardware/phase2/final_handsEMG.kicad_pcb and its schematic hardware/phase1/ads1299_board/ads1299_official_prototype-backups/ads1299_official_prototype-2025-02-22_213941/ads1299_official_prototype.kicad_sch. PCBKit opens the board in the browser, with nothing to install.
Can I use the Final handsEMG design in my own project?
Its repository states no licence, so its author keeps all rights: ask blakep7 before reusing the design.