Search Results - "Sriraam, N"

Classification of Focal and Non Focal Epileptic Seizures Using Multi-Features and SVM Classifier by Sriraam, N., Raghu, S.

“…Identifying epileptogenic zones prior to surgery is an essential and crucial step in treating patients having pharmacoresistant focal epilepsy…”
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Performance evaluation of convolution neural network models for detection of abnormal and ventricular ectopic beat cardiac episodes by Sriraam, N., Srinivasulu, Avvaru

“…The fast and accurate detection of abnormal cardiac episodes is essential for quick diagnosis high-risk patients prone to irregular cardiac arrhythmias…”
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Basis pursuit sparse decomposition using tunable-Q wavelet transform (BPSD-TQWT) for denoising of electrocardiograms by Srinivasulu, Avvaru, Sriraam, N

“…The electrocardiogram (ECG) is an essential diagnostic tool to identify cardiac abnormalities. So, the primary issue in an ECG acquisition unit is noise…”
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A Low-Cost, low-power flexible single lead ECG textile sensor for continuous monitoring of Cardiac Signals by Sriraam, N, Srinivasulu, Avvaru, Prakash, V S

“…Wearable continuous monitoring systems (WCMS) ensure remote monitoring of vital signs of the human day-to-day routine to assess the level of criticality. The…”
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Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography by Sriraam, N, Punyaprabha, V, Sushma, T V, Suresh, S

“…Purpose Fetal echocardiography is widely used for the assessment of fetal heart development and detection of congenital heart disease (CHD). Preliminary…”
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EEG based automated detection of auditory loss: A pilot study by Sriraam, N.

“…Auditory dysfunction is one of the most common deficiencies present in the newborn. Recent studies show that significant bilateral hearing loss is present in…”
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Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier by Raghu, S., Sriraam, N., Kumar, G. Pradeep

“…Electroencephalogram shortly termed as EEG is considered as the fundamental segment for the assessment of the neural activities in the brain. In cognitive…”
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Approximate Entropy-Based Epileptic EEG Detection Using Artificial Neural Networks by Srinivasan, V., Eswaran, C., Sriraam, N.

“…The electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The EEG recordings of the ambulatory recording systems generate…”
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Wireless CardioS framework for continuous ECG acquisition by Sriraam, N, Srinivasulu, Avvaru, Prakash, V S

“…A first-level textile-based electrocardiogram (ECG) monitoring system referred to as "CardioS" (cardiac sensor) for continuous health monitoring applications…”
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Artificial neural network based epileptic detection using time-domain and frequency-domain features by Srinivasan, V, Eswaran, C, Sriraam, N

“…Electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The long-term EEG recordings of an epileptic patient obtained from the…”
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A Signal Processing Framework for the Detection of Abnormal Cardiac Episodes by Srinivasulu, Avvaru, Sriraam, N., Prakash, V. S.

“…Motivation Cardiologists rely on the long duration Holter electrocardiogram (ECG) recordings in general for assessment of abnormal episodes and such process…”
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Entropies based detection of epileptic seizures with artificial neural network classifiers by Pravin Kumar, S., Sriraam, N., Benakop, P.G., Jinaga, B.C.

“…Computer assisted automated detection is highly inevitable for recognizing neurological disorders, as it involves continuous monitoring of Electroencephalogram…”
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A High-Performance Lossless Compression Scheme for EEG Signals Using Wavelet Transform and Neural Network Predictors by Sriraam, N.

“…Developments of new classes of efficient compression algorithms, software systems, and hardware for data intensive applications in today's digital health care…”
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Automated epileptic seizures detection using multi-features and multilayer perceptron neural network by Sriraam, N., Raghu, S., Tamanna, Kadeeja, Narayan, Leena, Khanum, Mehraj, Hegde, A. S., Kumar, Anjani Bhushan

“…Detection of epileptic seizure activities from long-term multi-channel electroencephalogram (EEG) signals plays a significant role in the timely treatment of…”
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Wearable Ag-NyW textile electrode for continuous ECG monitoring by Avvaru, Srinivasulu, Sriraam, N., Prakash, V. S., Sahoo, Sarthak

“…Purpose The diagnosis of unexplained syncope and sustained palpitations remains a challenging task for cardiology community. Continuous monitoring of cardiac…”
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3-D medical image compression using 3-D wavelet coders by Sriraam, N., Shyamsunder, R.

“…This paper presents compression of 3-D medical images using 3-D wavelet encoders. Four wavelet transforms, namely, Daubechies 4, Daubechies 6,…”
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Performance Evaluation of Neural Network and Linear Predictors for Near-Lossless Compression of EEG Signals by Sriraam, N., Eswaran, C.

“…This paper presents a comparison of the performances of neural network and linear predictors for near-lossless compression of EEG signals. Three neural network…”
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Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors by Sriraam, N.

“…A telemedicine system using communication and information technology to deliver medical signals such as ECG, EEG for long distance medical services has become…”
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Correction to: Wearable Ag-NyW textile electrode for continuous ECG monitoring by Avvaru, Srinivasulu, Sriraam, N., Prakash, V. S., Sahoo, Sarthak

“…A correction to this paper has been published: https://doi.org/10.1007/s42600-021-00155-2…”
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An Adaptive Error Modeling Scheme for the Lossless Compression of EEG Signals by Sriraam, N., Eswaran, C.

“…Lossless compression of EEG signal is of great importance for the neurological diagnosis as the specialists consider the exact reconstruction of the signal as…”
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