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Prosthetics

18 boards

KiCad boards from 6 GitHub repositories tagged “prosthetics”, the most starred first; open any of them in PCBKit.

  • 4 layers33 × 65.5 mmOM FlexGrid Rigid PCB, the printed circuit board in 3D

    OM FlexGrid Rigid PCB

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    65 parts19CERN-OHL-S-2.0
  • 4 layers110 × 50 mmOpenHand v1, the printed circuit board in 3D

    OpenHand v1

    AleksaHeler/OpenHand

    Our attempt at a prosthetic hand using STM32 microcontroller with custom PCB and mechanics

    214 parts13MIT
  • 2 layers68.6 × 42.5 mmLask4, the printed circuit board in 3D

    Lask4

    turfptax/lask4

    Finger Movement Detector

    20 parts5
  • 4 layers75 × 35 mmLASK5-V3-0, the printed circuit board in 3D

    LASK5-V3-0

    Open-Muscle/OpenMuscle-LASK5

    Handheld labeler wand for training ML models on gesture inputs

    56 parts3CERN-OHL-S-2.0
  • 2 layers27.5 × 52 mmOM EPSC3-Micro, the printed circuit board in 3D

    OM EPSC3-Micro

    turfptax/OM-Dev-Kit

    Open Muscle Dev Kit (V0/V1): ESP32-C3 sensor-cell hardware (KiCad PCBs + gerbers) and MicroPython firmware for the OpenMuscle pressure-sensing platform.

    23 parts2
  • 2 layers27.5 × 52 mmOM EPSC3-Micro, the printed circuit board in 3D

    OM EPSC3-Micro

    Open-Muscle/OpenMuscle-Band

    Original OpenMuscle armband with 12 sensors (legacy design)

    22 parts1CERN-OHL-S-2.0
  • 2 layers260 × 55 mmOM-60-Flex, the printed circuit board in 3D

    OM-60-Flex

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    62 parts19CERN-OHL-S-2.0
  • 4 layers47.6 × 56.1 mmOM-60-Rigid PCB, the printed circuit board in 3D

    OM-60-Rigid PCB

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    47 parts19CERN-OHL-S-2.0
  • 2 layers260 × 78.7 mmOM FlexGrid Flex, the printed circuit board in 3D

    OM FlexGrid Flex

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    61 parts19CERN-OHL-S-2.0
  • 2 layers260 × 84 mmOM FlexGrid Flex, the printed circuit board in 3D

    OM FlexGrid Flex

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    61 parts19CERN-OHL-S-2.0
  • 2 layers285.5 × 118 mmOM FlexGrid Flex, the printed circuit board in 3D

    OM FlexGrid Flex

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    61 parts19CERN-OHL-S-2.0
  • 4 layers33 × 65.5 mmOM FlexGrid Rigid PCB, the printed circuit board in 3D

    OM FlexGrid Rigid PCB

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    56 parts19CERN-OHL-S-2.0
  • 4 layers65.5 × 33 mmOM FlexGrid Rigid PCB, the printed circuit board in 3D

    OM FlexGrid Rigid PCB

    Open-Muscle/OpenMuscle-FlexGrid

    60-sensor wearable with flexible PCB and pressure matrix

    56 parts19CERN-OHL-S-2.0
  • 4 layers100 × 50 mmOpenHand v2, the printed circuit board in 3D

    OpenHand v2

    AleksaHeler/OpenHand

    Our attempt at a prosthetic hand using STM32 microcontroller with custom PCB and mechanics

    172 parts13MIT
  • 4 layers100 × 50 mmOpenHand v3, the printed circuit board in 3D

    OpenHand v3

    AleksaHeler/OpenHand

    Our attempt at a prosthetic hand using STM32 microcontroller with custom PCB and mechanics

    207 parts13MIT
  • 2 layers115 × 75 mmProstheticHandV2, the printed circuit board in 3D

    ProstheticHandV2

    AleksaHeler/OpenHand

    Our attempt at a prosthetic hand using STM32 microcontroller with custom PCB and mechanics

    99 parts13MIT
  • 2 layers75 × 35 mmLASK V1-1, the printed circuit board in 3D

    LASK V1-1

    Open-Muscle/OpenMuscle-LASK5

    Handheld labeler wand for training ML models on gesture inputs

    33 parts3CERN-OHL-S-2.0
  • 4 layers75 × 35 mmLASK V2-0, the printed circuit board in 3D

    LASK V2-0

    Open-Muscle/OpenMuscle-LASK5

    Handheld labeler wand for training ML models on gesture inputs

    45 parts3CERN-OHL-S-2.0