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MME Science for medical schools for teaching purposes


For many students, the topic of "electricity theory" is very abstract, they learn what happens in the body, but have problems really understanding the basics and background.


The MME Science, a two-channel all-round device for measuring and stimulating the same electrodes on the human body, solves this problem in a simple and clear way.


MME Science for students & private users


Using an app integrated into the device, students can measure the biosignals on themselves. This helps them to comprehend and better understand what is happening in their own bodies and later to transport and apply this knowledge in their own professional practice.


MME Science: App & Device Interaction of two technologies


A small, compact device sends signals to a tablet via Bluetooth. The signals can be evaluated and documented there. All result-relevant parameters can be set individually.


MME Science


  1. stimulates and captures biosignals of the human body.
  2. Stimulation and measurement take place via two independent channels.
  3. All functions are controlled via an intuitive app on a tablet.
  4. The stimulation parameters and measurement data are transmitted to the app via Bluetooth for live visualization.
  5. The theory of electricity can be learned playfully on the human body through freely adjustable parameters and filters in the biosignal detection.
  6. Heart activity, muscle activity and eye movements can be measured.
  7. Three axis accelerometer​
  8. Measure: 
    1. Electromyogram (sEMG)​

    2. Electrocardiogram (sECG)

    3. Electrooculogram (sEOG)

MME Science

SKU: 36523641234523
  • 1. General technical data:

    • Stimulation: 2 channels

    • Biosignal measurement: 2 x 1 channel

    • Acceleration measurement: 3 axes

    • Power supply: Internal Li-ion battery 3.8V; 1700mAh

    • Dimension: 140 x 85 x 20mm

    • Weight: 180g

    • Power operation: max. 4.5W

    • Running time: 2-3 hours

    • IP class: IP22


    2. Specifications stimulation (NF):

    • Maximum output voltage: 75 V (± 8 Vpp) at 1000 Ω

    • Maximum output current: 75mA

    • Increments at 500 ohm load: Selectable 0.125 mA, 0.25 mA, 0.5 mA, 1 mA

    • Duration: 1 - 30 minutes

    • Low frequency: 1 - 120 Hz, step size: 1 Hz

    • Pulse widths 100µs- 1500µs, increment: 100µs

    • Modulation: 0 - 100%

    • Slew rate: 1 mA/s to 10 mA/s

    • Working time: 1 - 20s

    • Descending slope: 1mA/s to 10mA/s 

    • Pause time: 0 - 10s

    • Pulse Shapes: Biphasic Rectangle, Monophasic Rectangle



    3. Technical data biosignal measurement:

    • Biosignal measurement: 2 x 1 channel (parallel)

    • Sample rate up to 4 ksps

    • Maximum input signal voltage 20 mV

    • Resolution 5 µV

    • Gain Factor (PGA) Selectable: 1, 2, 4, 8, 16

    • AD converter resolution: 24bit

    • Down Sampling Selectable: 125 Hz, 250 Hz; 500Hz; 1000Hz

    • Programmable gain: 1, 2, 3, 4, 6, 8, 12    

    • Cut-off frequency dependent on down-sampling: 62.5 Hz, 125 Hz, 250 Hz, 500 Hz


    4. Verified bioelectrical measurement signals:

    • simplified EMG, ECG and EOG: Measured on two electrodes without a reference electrode

    5. Specifications Accelerometer Measurement:


    • Acceleration measurement: X, Y, Z axis

    • Resolution: ±0.0002g/bit, 16bit

    • Measuring range: ±4g

    • Sample rate up to 400 SPS


    6. Flexible Signal Processing (Basic Version):

    • Offset compensation at the push of a button

    • Standard filters with variable cut-off frequencies: high-pass, low-pass, band-pass, notch

    • Specific determination of ECG signals: Beat Per Minute (BPM), heart rate variability (HRV)

    • Specific determination of EMG signals: effective value (RMS), power density spectrum (LDS)

    • Specific determination of EOG signals: Exact DC voltage in µV and direction detection

    • Anti aliasing filter selectable downsampling frequency 


    7.Advanced version:

    • Specific determination of EEG signals: 5 wave components: delta, theta, alpha, beta and gamma as a bar graph

    • Somato Evoked Potential (SEP): With two Science devices and a HUB

    • Movement signals by high-resolution gyro sensor, e.g. for detecting sleeping position and snoring noises

    • Triggered stimulation: measurement of the EMG, stimulation starts when a preset value is exceeded

    • On request: expansion with pressure and temperature sensors on the housing

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