Potential of photoplethysmogram for the detection of calcification and stenosis in lower limb. - Neelamshobha Nirala; R. Periyasamy; Awanish Kumar (Int. J. Bioinform. Res. Appl., 2018)

Study of skin flow motion pattern using photoplethysmogram. - Neelamshobha Nirala; R. Periyasamy; Awanish Kumar (Int. J. Adv. Intell. Paradigms, 2020)

Implementation of an advanced lung nodule classification system using optimized ConvMixer and AdamW-based CNN architecture. - Resham Raj Shivwanshi; Neelamshobha Nirala (SPA, 2023)

An improved feature selection approach using global best guided Gaussian artificial bee colony for EMG classification. - Padmini Sahu; Bikesh Kumar Singh; Neelamshobha Nirala (Biomed. Signal Process. Control., 2023)

Photoplethysmography signal-based automated diagnosis of type-2 diabetes using tunable-Q wavelet transform and least-square support vector machine classifier. - Bhanupriya Mishra; Neelamshobha Nirala; Bikesh Kumar Singh (Signal Image Video Process., 2023)

Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal. - Padmini Sahu; Bikesh Kumar Singh; Neelamshobha Nirala (Eng. Appl. Artif. Intell., 2024)

Type-2 diabetes identification from toe-photoplethysmography using Fourier decomposition method. - Bhanupriya Mishra; Neelamshobha Nirala; Bikesh Kumar Singh (Neural Comput. Appl., 2024)

Empirical wavelet decomposition of photoplethysmographic signal for hypertension risk stratification and detection of diabetes mellitus using machine learning techniques. - Muzaffar Khan; Bikesh Kumar Singh; Neelamshobha Nirala (Int. J. Medical Eng. Informatics, 2025)