Electroencephalography TRIZ Cases

Electromyography electrodes detect muscle activity signals to differentiate seizure types through amplitude analysis.

Segmented microelectrode arrays overcome large electrode limitations by enabling precise cortical stimulation and recording.

A brain response analysis system calculates average signals to determine cellular variance and volatility of evoked neural activity.

Wearable wireless patches with electrode arrays capture gastrointestinal electromyographic signals.

Segmented sensors measure visual evoked potentials and ocular perfusion to detect perioperative visual loss and anesthesia awareness in real time.

A wearable system uses wrist motion sensors to trigger an ear-mounted camera for capturing food images.

External brain signal sensing guides implantable medical device configuration, replacing inaccurate patient feedback with automated parameter optimization.

Merged needle electrodes record nucleus activity to identify target sites, resolving unreliable stereotactic surgery localization.

Biometric sensors measure physiological responses to determine audience engagement levels.

Integrating a speaker into a firefighter hood eliminates manual radio setup delays by activating audio communication when the hood deploys.

A closed-loop brain control system generates adaptive models from neural measurements to produce precise stimulation signals.