How can I distinguish hardware failure from software issues?

These issues may indicate a problem with the amplifier, power supply, or hardware connection.

EEG channels show consistently poor signal quality despite correct setup and electrode preparation.
Signal loss or excessive noise remains unchanged after adjusting the setup.

These symptoms may indicate an issue with the amplifier, connectors, cables, or electrode contacts.

These symptoms are typically associated with hardware-related faults.

The SAM software does not start correctly.
The software becomes unresponsive or behaves unexpectedly.
An EEG recording cannot be started even though the amplifier appears to be connected.

These issues may be related to software configuration or application problems.

Signal quality indicators do not update correctly.
EEG recording workflow steps cannot be completed despite a stable hardware connection.
Information displayed in the software does not match the current system state.

These symptoms may suggest a software-side issue rather than a hardware defect.

Check the amplifier status and physical connections first.
Confirm that the amplifier is recognized by the SAM software.
Verify that all connectors are securely attached.
Review signal quality for all channels.
Observe whether the issue changes after correcting the hardware setup.
Inspect cables, connectors, and electrodes for visible damage.
Determine whether the issue affects signal acquisition, software operation, or both.

Hardware and software issues can occur at the same time.
Always verify correct EEG setup and signal quality before assuming a component failure.
Connection issues, loose connectors, and poor electrode contact can often appear similar to hardware failures.
If the problem persists after verifying the setup, further troubleshooting may be required.

Hardware failures in the SAM system usually show up as connection, power, or signal transmission problems, while software issues are more often related to application behavior or configuration. Observing LED status, connection stability, and software responses helps distinguish between the two.