Leaky LMS algorithm based low complexity Adaptive Noise Cancellation

Neurodegenerative conditions are widespread, marked by a gradual worsening of symptoms that progressively hinder daily activities and diminish overall well-being. Parkinson’s disease is one of the neurodegenerative condition that affects movement and often leads to speech difficulties. Those with the condition may notice their voice becoming quieter or their speech becoming slurred, making communication increasingly challenging over time. Parkinson’s disease has impacted over 15 million people all around the world. These speech related neurological diseases are often diagnosed using acoustic signals like speech, ultrasound and PCG signal. Often existing environmental noises in the signal, leads to less accurate diagnosis. To mitigate the impact of noise, researchers often employ signal processing techniques. The proposed Leaky LMS algorithm has low complexity compared to the existing methods.