An Isolated CNN Architecture for Classification of Finger-Tapping Tasks Using Initial Dip Images: A Functional Near-Infrared Spectroscopy Study.
Muhammad Umair AliAmad ZafarKaram Dad KalluM Atif YaqubHaris MasoodKeum-Shik HongMuhammad Raheel BhuttaPublished in: Bioengineering (Basel, Switzerland) (2023)
This work investigates the classification of finger-tapping task images constructed for the initial dip duration of hemodynamics (HR) associated with the small brain area of the left motor cortex using functional near-infrared spectroscopy (fNIRS). Different layers (i.e., 16-layers, 19-layers, 22-layers, and 25-layers) of isolated convolutional neural network (CNN) designed from scratch are tested to classify the right-hand thumb and little finger-tapping tasks. Functional t -maps of finger-tapping tasks (thumb, little) were constructed for various durations (0.5 to 4 s with a uniform interval of 0.5 s) for the initial dip duration using a three gamma functions-based designed HR function. The results show that the 22-layered isolated CNN model yielded the highest classification accuracy of 89.2% with less complexity in classifying the functional t -maps of thumb and little fingers associated with the same small brain area using the initial dip. The results further demonstrated that the active brain area of the two tapping tasks from the same small brain area are highly different and well classified using functional t -maps of the initial dip (0.5 to 4 s) compared to functional t -maps generated for delayed HR (14 s). This study shows that the images constructed for initial dip duration can be helpful in the future for fNIRS-based diagnosis or cortical analysis of abnormal cerebral oxygen exchange in patients.
Keyphrases
- convolutional neural network
- deep learning
- working memory
- white matter
- machine learning
- resting state
- wastewater treatment
- cerebral ischemia
- end stage renal disease
- functional connectivity
- ejection fraction
- subarachnoid hemorrhage
- chronic kidney disease
- solar cells
- multiple sclerosis
- blood brain barrier
- brain injury
- upper limb
- cerebral blood flow