Ganesh Naik

Ganesh Naik
Flinders University · Adelaide Institute for Sleep Health

BE (Mysore); MS (Griffith); PhD - Biomedical Signal Processing (RMIT)

About

182
Publications
92,731
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Citations
Introduction
Ganesh R. Naik, ranked as one of Top 2% researchers in Biomedical Engg (worldwide - Stanford University research) is currently working as a Researcher at Flinders University. Prior to that, he held Research and Academic positions at Western Sydney University (2017-2020) and UTS (2013 – 2017) respectively. He has edited 11 books, authored more than 150 papers in peer-reviewed journals and conferences. His research interests and expertise include: Sleep Research, BCI, EMG, EEG, ECG, ICA and BSS.
Additional affiliations
July 2017 - June 2020
Western Sydney University
Position
  • PostDoc Position
February 2013 - June 2017
University of Technology Sydney
Position
  • Chancellors Postdoctoral Research Fellow
February 2005 - January 2013
RMIT University
Education
February 2005 - December 2009
RMIT University
Field of study
  • Signal Processing, Biomedical Engineering
February 2001 - July 2002
Griffith University Brisbane
Field of study
  • Signal Processing, Communication and Information Engineering

Publications

Publications (182)
Article
Objectif Déterminer la prévalence du SAOS à partir d’enregistrements non-intrusifs multi-nuits et l’impact de la variabilité inter-nuit sur la classification du diagnostic dans un large échantillon de population générale. Méthodes Les sujets (18–90 ans, H 78 %) ont utilisé un Withings Sleep Analyzer, placé entre sommier et matelas. L’IAH calculé p...
Article
Purpose Loss of movement in the upper limb is a limitation that affects the lives of many individuals. This problem motivates the creation of several solutions, from intelligent biomechanical prostheses to new physical therapy approaches. However, one of the main limitations of these applications is in the detection and recognition of signal patter...
Article
Full-text available
Voluntary hand movements are usually impaired after a cerebral stroke, affecting millions of people per year worldwide. Recently, the use of hand exoskeletons for assistance and motor rehabilitation has become increasingly widespread. This study presents a novel hand exoskeleton, designed to be low cost, wearable, easily adaptable and suitable for...
Article
Full-text available
Rationale. Recent studies suggest that obstructive sleep apnea (OSA) severity can vary markedly from night to night which may have important implications for diagnosis and management. Objectives. This study aimed to assess OSA prevalence from multi-night in-home recordings and the impact of night-to-night variability in OSA severity on diagnostic...
Article
Full-text available
Forensic speaker verification performance reduces significantly under high levels of noise and reverberation. Multiple channel speech enhancement algorithms, such as independent component analysis by entropy bound minimization (ICA-EBM), can be used to improve noisy forensic speaker verification performance. Although the ICA-EBM was used in previou...
Article
Objective: Myoelectric control requires fast and stable identification of a movement from data recorded from a comfortable and straightforward system. Methods: We consider a new real-time pre-processing method applied to a single differential surface electromyogram (EMG): deconvolution, providing an estimation of the cumulative firings of motor...
Article
Full-text available
In medical image processing, magnetic resonance imaging (MRI) and computed tomography (CT) modalities are widely used to extract soft and hard tissue information, respectively. However, with the help of a single modality, it is very challenging to extract the required pathological features to identify suspicious tissue details. Several medical imag...
Article
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Triage is the first interaction between a patient and a nurse/paramedic. This assessment, usually performed at Emergency departments, is a highly dynamic process and there are international grading systems that according to the patient condition initiate the patient journey. Triage requires an initial rapid assessment followed by routine checks of...
Book
This book discusses recent advances in wearable technologies and personal monitoring devices, covering topics such as skin contact-based wearables (electrodes), non-contact wearables, the Internet of things (IoT), and signal processing for wearable devices. Although it chiefly focuses on wearable devices and provides comprehensive descriptions of...
Article
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As a definition, Human–Machine Interface (HMI) enables a person to interact with a de‐ vice. Starting from elementary equipment, the recent development of novel techniques and unob‐ trusive devices for biosignals monitoring paved the way for a new class of HMIs, which take such biosignals as inputs to control various applications. The current surve...
Article
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Introduction The impact of night-to-night variability in obstructive sleep apnoea (OSA) severity on important health outcomes such as blood pressure is unknown. This study aimed to determine the effects of night-to-night variability in the apnoea/hypopnoea index (AHI) on hypertension risk and OSA misdiagnoses. Methods In-home nightly monitoring of...
Article
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Introduction Previous studies demonstrate that oropharyngeal exercises can reduce obstructive sleep apnoea (OSA) severity. However, the physiological mechanisms underlying this improvement are unknown. Thus, this study aimed to evaluate the effects of a speech-pathology led, targeted upper airway muscle training protocol on upper airway physiology....
Article
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Current approaches to quantify and diagnose sleep disorders and circadian rhythm disruption are imprecise, laborious, and often do not relate well to key clinical and health outcomes. Newer emerging approaches that aim to overcome the practical and technical constraints of current sleep metrics have considerable potential to better explain sleep di...
Article
Full-text available
Electroencephalogram (EEG) signals have been generally utilized for diagnostic systems. Nowadays artificial intelligence-based systems have been proposed to classify EEG signals to ease diagnosis process. However, machine learning models have generally been used deep learning based classification model to reach high classification accuracies. This...
Article
Full-text available
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics,...
Article
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Biomimicry is a field of research that uses the functional and structural components of nature, at macroscopic and microscopic scales, to inspire solutions to problems in our industrial world. Soft robotics is an area of research that uses biomimicry, in this case, mimicking skeletal muscles (referred to in this field as “muscle-mimicking actuators...
Article
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Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we report a deep learning framework named 'Low-Complex Movement recognition-Net' (LoCoMo-Net) built with convolution neura...
Article
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This paper presents forcecardiography (FCG), a novel technique to measure local, cardiac-induced vibrations onto the chest wall. Since the 19th century, several techniques have been proposed to detect the mechanical vibrations caused by cardiovascular activity, the great part of which was abandoned due to the cumbersome instrumentation involved. Th...
Article
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Just as laparoscopic surgery provided a giant leap in safety and recovery for patients over open surgery methods, robotic-assisted surgery (RAS) is doing the same to laparoscopic surgery. The first laparoscopic-RAS systems to be commercialized were the Intuitive Surgical, Inc. da Vinci and the Computer Motion Zeus. These systems were similar in man...
Article
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Brain tumor (BT) is one of the brain abnormalities which arises due to various reasons. The unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical level assessment of BT is normally performed using the bio-imaging technique, and MRI-assisted brain screening is one of the universal techniques. The proposed work a...
Article
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Atrial fibrillation is a cardiac arrhythmia and it is characterized based on the irregular beating of atria, and as a result the abnormal atrial patterns are observed in the ECG signal. The early detection of this pathology is very helpful for minimizing the chances of stroke, other heart related disorders and coronary artery diseases. This paper p...
Article
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This paper proposes a new supervised method for blood vessel segmentation using Zernike moment-based shape descriptors. The method implements a pixel wise classification by computing a 11-D feature vector comprising of both statistical (gray-level) features and shape-based (Zernike moment) features. Also the feature set contains optimal coefficient...
Article
Background and Objective: Mobility of subject (MoS) and muscle contraction force variation (MCFV) have been shown to individually degrade the performance of multiple degrees of freedom electromyogram (EMG) pattern recognition (PR) based prostheses control systems. Though these factors (MoS-MCFV) co-exist simultaneously in the practical use the pros...
Article
Full-text available
Human machine interfaces (HMIs) are employed in a broad range of applications, spanning from assistive devices for disability to remote manipulation and gaming controllers. In this study, a new piezoresistive sensors array armband is proposed for hand gesture recognition. The armband encloses only three sensors targeting specific forearm muscles, w...
Chapter
Stroke is one of the major causes of permanent disability in adults. Physical training and rehabilitation help stroke survivors to carry out their day-to-day tasks. Surface electromyography (sEMG) has been widely used for stroke rehabilitation and assessment of muscle activities for different force levels. In this regard, it is very important to kn...
Article
Full-text available
Stretchable conductive materials are originally conceived as radio frequency (RF) and electromagnetic interference (EMI) shielding materials, and, under stretch, they generally function as distributed strain-gauges. These commercially available conductive elastomers have found their space in low power health monitoring systems, for example, to moni...
Conference Paper
Traditional stethoscopes have remained virtually unchanged for nearly 200 years and remain the primary examination tool for all medical practitioners. While their use is prominent, their single user design and susceptibility to noise distortions can result in loss of critical diagnostic information. With the rise of cardiovascular disease worldwide...
Conference Paper
From the evaluation of electrical activity of muscles to the development of myoelectric prosthetic control/manmachine interfaces, the electromyography (EMG) signal has always been the first choice for both clinicians and engineers. However, due to the many drawbacks of EMG (e.g. skin preparation, electromagnetic interferences, high sample rate, etc...
Article
Full-text available
Abnormal heart rhythms are one of the significant health concerns worldwide. The current state-of-the-art to recognize and classify abnormal heartbeats is manually performed by visual inspection by an expert practitioner. This is not just a tedious task; it is also error prone and, because it is performed, post-recordings may add unnecessary delay...
Book
This book reports on the latest advances in the study of biomedical signal processing, and discusses in detail a number of open problems concerning clinical, biomedical and neural signals. It methodically collects and presents in a unified form the research findings previously scattered throughout various scientific journals and conference proceedi...
Article
Full-text available
The recently evolving remote healthcare technology could potentially aid the realization of cost-effective and lasting solutions to life-threatening diseases such as heart failure. Such a remote healthcare system should integrate an effectual heart failure risk monitoring and prediction platform. However, developing a heart failure risk (HFR) predi...
Article
Full-text available
Upper limb amputation is a condition that significantly restricts the amputees from performing their daily activities. The myoelectric prosthesis, using signals from residual stump muscles, is aimed at restoring the function of such lost limbs seamlessly. Unfortunately, the acquisition and use of such myosignals are cumbersome and complicated. Furt...
Article
Full-text available
Groundtruth is a Matlab Graphical User Interface (GUI) developed for the identification of key features and artifacts within physiological signals. The ultimate aim of this GUI is to provide a simple means of assessing the performance of new sensors. Secondary, to this is providing a means of providing marked data, enabling assessment of automated...
Conference Paper
Electromyogram (EMG) pattern-recognition (PR) is the most widely adopted prostheses/rehabilitation robots control method that seamlessly support multi-degrees of freedom (MDF) function in an intuitive fashion. The feature extraction framework applied in such PR-based control essentially determines the control performance of the prosthetic device. B...
Article
Full-text available
Monitoring of vital signs is critical for patient triage and management. Principal assessments of patient conditions include respiratory rate heart/pulse rate and blood oxygen saturation. However, these assessments are usually carried out with multiple sensors placed in different body locations. The aim of this paper is to identify a single locatio...
Article
Background and objective: The congestive heart failure (CHF) is a life-threatening cardiac disease which arises when the pumping action of the heart is less than that of the normal case. This paper proposes a novel approach to design a classifier-based system for the automated detection of CHF. Methods: The approach is founded on the use of the...
Preprint
Full-text available
Brain computer interfaces (BCI) provide a direct communication link between the brain and a computer or other external devices. They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective computing, robotics,...
Article
Full-text available
The goal of this research was to investigate the effect of wearing high-heeled shoes (HHS) on lower limb muscle synchronisation during walking, using beta band (15–30 Hz) coherence analysis. Fifteen females with no previous neuromuscular disorders volunteered in this study. Surface electromyography in frequency domain was studied from rectus femori...
Article
Full-text available
This paper applies a nonparametric modelling method with kernel-based regularization to estimate the carbon dioxide production during jogging exercises. The kernel selection and regularization strategies have been discussed; several commonly used kernels are compared regarding the goodness-of-fit, sensitivity, and stability. Based on that, the most...
Article
Full-text available
Accurate detection and classification of life-threatening ventricular arrhythmia episodes such as ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) from electrocardiogram (ECG) is a challenging problem for patient monitoring and defibrillation therapy. This paper introduces a novel method for detection and classification of life-...
Article
Background and objective EEG is a non-invasive tool for neuro-developmental disorder diagnosis and treatment. However, EEG signal is mixed with other biological signals including Ocular and Muscular artifacts making it difficult to extract the diagnostic features. Therefore, the contaminated EEG channels are often discarded by the medical practitio...
Article
Surface electromyography (sEMG) data acquired during lower limb movements has the potential for investigating knee pathology. Nevertheless, a major challenge encountered with sEMG signals generated by lower limb movements is the inter-subject variability, because the signals recorded from the leg or thigh muscles are contingent on the characteristi...
Book
This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems related to dimensional reduction techniques and their extensions in detail. Bringing together research results previously scattered throughout many scientific journals papers worldwide, the book p...
Article
Full-text available
Freezing of gait (FOG) is an episodic gait disturbance affecting initiation and continuation of locomotion in many Parkinson's disease (PD) patients, causing falls and a poor quality of life. FOG can be experienced on turning and start hesitation, passing through doorways or crowded areas dual tasking, and in stressful situations. Electroencephalog...
Article
Full-text available
Environmental noise and reverberation conditions severely degrade the performance of forensic speaker verification. Robust feature extraction plays an important role in improving forensic speaker verification performance. This paper investigates the effectiveness of combining features, mel frequency cepstral coefficients (MFCCs), and MFCC extracted...
Article
Full-text available
Traditional musical-instrument classification methods mainly use regions in the time or/and frequency characteristics, cepstrum characteristics, and MPEG-7 characteristics, and they often lead to erroneous classification. Therefore, there is need to develop a more suitable method that is more applicable to the nonlinear characteristics of musical-i...
Article
Full-text available
Early detection of sudden cardiac arrest (SCA) is critical to prevent serious repercussion such as irreversible neurological damage and death. Currently, the most effective method involves analyzing electrocardiogram (ECG) features obtained during ventricular fibrillation. In this study, data from 10 normal patients and 10 SCA patients obtained fro...
Article
Full-text available
The purpose of this study was to determine whether electromyography (EMG) muscle activities around the knee differ during sit-to-stand (STS) and returning task for females wearing shoes with different heel heights. Sixteen healthy young women (age = 25.2 ± 3.9 years, body mass index = 20.8 ± 2.7 kg/m2) participated in this study. Electromyography s...
Conference Paper
his paper presents a classification of driver fatigue with electroencephalography (EEG) channels selection analysis. The system employs independent component analysis (ICA) with scalp map back projection to select the dominant of EEG channels. After channel selection, the features of the selected EEG channels were extracted based on power spectral...
Conference Paper
Full-text available
Gait initiation Failure (GIF) is the situation in which patients with Parkinson's disease (PD) feel as if their feet get "stuck" to the floor when initiating their first steps. GIF is a subtype of Freezing of Gait (FOG) and often leads to falls and related injuries. Understanding of neurobiological mechanisms underlying GIF has been limited by diff...
Conference Paper
Full-text available
This paper introduces a novel shape memory alloy (SMA) material for the controllability in the shape recovery of traditional SMA for orthopedic devices and rehabilitation techniques. The proposed material is formed by doping nano-ferromagnetic particle into porous NiTi alloy. The finite element analysis of shape memory effect property of the differ...
Conference Paper
A great many people suffer from neurological movement disorders that render typical hardware interface devices ineffective. A need exists for a universal interface device that can be trained to accept a wide range of inputs across varying types and severities of movement disorders. In this regard, this paper details the design, testing and optimiza...
Conference Paper
The purpose of this study was to investigate differences in lower limb muscle activation patterns for females wearing shoes with different heel heights during Sit to Stand Task (STS). Ten female participants with no prior history of neurological disorders participated in this study. Surface electromyography (sEMG) characteristics were recorded for...
Conference Paper
Full-text available
In recent years, significant advancements have taken place in human activity recognition using various machine learning approaches. However, feature engineering have dominated conventional methods involving the difficult process of optimal feature selection. This problem has been mitigated by using a novel methodology based on deep learning framewo...