Science topic

Biosignal Processing - Science topic

Explore the latest publications in Biosignal Processing, and find Biosignal Processing experts.
Filters
All publications are displayed by default. Use this filter to view only publications with full-texts.
Publications related to Biosignal Processing (364)
Sorted by most recent
Book
Full-text available
In cardiac monitoring, the Holter monitor plays a major role in the monitoring of critical heart defects over a long period of time. Once the recording is taken it needs to be analyzed to find the abnormalities in the waveform for the search for arrhythmias and aberrations in the heart. The time that is taken to analyze the waveforms by the medical...
Conference Paper
Full-text available
In cardiac monitoring, the Holter monitor plays a major role in the monitoring of critical heart defects over a long period of time. Once the recording is taken it needs to be analyzed to find the abnormalities in the waveform for the search for arrhythmias and aberrations in the heart. The time that is taken to analyze the waveforms by the medical...
Article
Full-text available
VO2max index has a significant impact on overall health. Its estimation through wearables notifies the user of his level of fitness but cannot provide a detailed analysis of the time intervals in which heartbeat dynamics are changed and/or fatigue is emerging. Here, we developed a multiple modality biosignal processing method to investigate running...
Article
Full-text available
The management of chronic neuropathic pain remains a challenge, because pain is subjective, and measuring it objectively is usually out of question. However, neuropathic pain is also a signal provided by maladaptive neuronal activity. Thus, the integral management of chronic neuropathic pain should not only rely on the subjective perception of the...
Article
Full-text available
Sleep apnea is a common sleep breathing disorder in which patients suffer from stopping or decreasing airflow to the lungs for more than 10 seconds. Accurate detection of sleep apnea episodes is an important step in devising appropriate therapies and management strategies. This paper provides a comprehensive analysis of machine learning and deep le...
Article
Full-text available
The study of functional brain–heart interplay has provided meaningful insights in cardiology and neuroscience. Regarding biosignal processing, this interplay involves predominantly neural and heartbeat linear dynamics expressed via time and frequency domain-related features. However, the dynamics of central and autonomous nervous systems show nonli...
Thesis
Full-text available
This dissertation's primary goal was to systematically study human activity recognition and enhance its performance by advancing human activities' sequential modeling based on HMM-based machine learning. Driven by these purposes, this dissertation has the following major contributions: The proposal of our HAR research pipeline that guides the build...
Article
Full-text available
Signal processing, pattern recognition as well as modelling and simulation require a large amount of reference data, both for the development of new methods and for their evaluation. Depending on the application, the availability of databases is rather low. In the field of biosignal processing with a focus on the functionalization of furniture for...
Conference Paper
Full-text available
Active biased integrators (ABI) have recently been reported. The ABI is an innovative continuous-time lossy integrator characterized by a very low high-pass cutoff frequency in the millihertz range. ABI is used to amplify signals generated by sources with capacitive output impedance. This paper presents some novel ABI applications for biosignal amp...
Thesis
Full-text available
Die langfristigen Folgen von psychischer Fehlbeanspruchung stellen ein beträchtliches Problem unserer modernen Gesellschaft dar. Zur Identifizierung derartiger Fehlbelastungen während der Mensch-Maschine-Interaktion (MMI) kann die objektive, kontinuierliche Messung der psychischen Beanspruchung einen wesentlichen Beitrag leisten. Neueste Entwicklun...
Article
Full-text available
Research on brain-computer interfaces (BCIs) has become more democratic in recent decades, and experiments using electroencephalography (EEG)-based BCIs has dramatically increased. The variety of protocol designs and the growing interest in physiological computing require parallel improvements in processing and classification of both EEG signals an...
Article
Full-text available
In this study, the S-function is applied to Saigo’s -fractional order integral and derivative operators involving the -hypergeometric function in the kernel; outcomes are described in terms of the -Wright function, which is used to represent image formulas of integral transformations such as the beta transform. Several special cases, such as the fr...
Article
Full-text available
Heavy equipment operation is a responsible and difficult task causing mental workload on a human operator and exposing the operator to a range of harmful factors. Human factors and ergonomics in heavy equipment design have traditionally been focused on anthropometry and questionnaires. More advanced techniques involving biosignal measurements were...
Preprint
Full-text available
Power-line-interference (PLI) is the major disturbing factor in all ground-free biosignal acquisition applications. The PLI currents, picked up by the body, flow through the sensing electrodes, then the electrode cables, and finally via the amplifier input impedances, they reach the signal ground. The electrode impedances and the amplifier input im...
Chapter
Full-text available
In this work, we achieve up to 92% classification accuracy of electromyographic data between five gestures in pseudo-real-time. Most current state-of-the-art methods in electromyographical signal processing are unable to classify real-time data in a post-learning environment, that is, after the model is trained and results are analysed. In this wor...
Article
Full-text available
Background: There is worldwide demand for an affordable hemoglobin measurement solution, which is a particularly urgent need in developing countries. The smartphone, which is the most penetrated device in both rich and resource-constrained areas, would be a suitable choice to build this solution. Consideration of a smartphone-based hemoglobin measu...
Article
Full-text available
Non-contact heart rate measurement is more convenient than conventional ECGs. So, a number of algorithms have been investigated to measure non-contact heart rate using a Doppler radar. However, elimination of environmental noise is still a challenge. We propose algorithms applying new filtering methods to efficiently detect the Heart rate. The Sign...
Preprint
Full-text available
In the last few years,Brain-Computer Interfaces (BCIs) have progressed as an emerging research area in the fields of human-computer interaction and interactive systems.This is primarily due to the introduction of low-cost electroencephalographic (EEG) systems that render BCI technology accessible for non-medical research but also due to the advance...
Article
Full-text available
This paper presents the implementation of deep learning methods for sleep stage detection by using three signals that can be measured in a non-invasive way: heartbeat signal, respiratory signal, and movement signal. Since signals are measurements taken during the time, the problem is seen as time-series data classification. Deep learning methods ar...
Article
Full-text available
Recent developments in biosignal processing have enabled users to exploit their physiological status for manipulating devices in a reliable and safe manner. One major challenge of physiological sensing lies in the variability of biosignals across different users and tasks. To address this issue, we propose an adversarial feature extractor for trans...
Preprint
Full-text available
Recent developments in biosignal processing have enabled users to exploit their physiological status for manipulating devices in a reliable and safe manner. One major challenge of physiological sensing lies in the variability of biosignals across different users and tasks. To address this issue, we propose an adversarial feature extractor for trans...
Article
Full-text available
In this article, the -fractional-order integral and derivative operators including the -hypergeometric function in the kernel are used for the -Wright function; the results are presented for the -Wright function. Also, some of special cases related to fractional calculus operators and -Wright function are considered. 1. Introduction and Preliminar...
Article
Full-text available
One-fourths of the patients have medication-resistant seizures and require seizure detection and treatment continuously to cope with sudden seizures. Seizures can be detected by monitoring the brain and muscle activities, heart rate, oxygen level, artificial sounds, or visual signatures through EEG, EMG, ECG, motion, or audio/video recording on the...
Article
Full-text available
Objective: Atrial flutter (AFl) is a common arrhythmia that can be categorized according to different self-sustained electrophysiological mechanisms. The non-invasive discrimination of such mechanisms would greatly benefit ablative methods for AFl therapy as the driving mechanisms would be described prior to the invasive procedure, helping to guid...
Preprint
Full-text available
Background: In general, this methodical paper describes a well documented application of one complexity measure and various machine learning methods to solve a specific problem in biosignal processing: predictions of ventricular tachycardias & fibrillations, and Torsades de Pointes arrhythmias. The methodology is enhanced by a concise introduction...
Article
Full-text available
Electromyography (EMG) is a measure of electrical activity generated by the contraction of muscles. Non-invasive surface EMG (sEMG)-based pattern recognition methods have shown the potential for upper limb prosthesis control. However, it is still insufficient for natural control. Recent advancements in deep learning have shown tremendous progress i...
Article
Full-text available
Surface ElectroMyoGraphy (sEMG) is widely applied to a variety of applications. Managing the power consumption of battery-constrained sEMG Wireless Body Sensor Networks (WBSN) is an important topic. In this paper, we use fatigue assessments as a case study. We apply the concept of distributed computing to explore the impact of computation allocatio...
Thesis
Full-text available
Accurate pain assessment plays an important role in proper pain management, especially among hospitalized people experience acute pain. Pain is subjective in nature which is not only a sensory feeling but could also combine affective factors. Therefore self-report pain scales are the main assessment tools as long as patients are able to self-report...
Article
Full-text available
Background There is worldwide demand for an affordable hemoglobin measurement solution, which is a particularly urgent need in developing countries. The smartphone, which is the most penetrated device in both rich and resource-constrained areas, would be a suitable choice to build this solution. Consideration of a smartphone-based hemoglobin measur...
Article
Full-text available
SpharaPy is a Python implementation of a new approach for spatial harmonic analysis (SPHARA). SPHARA extends the classical spatial Fourier analysis to non-uniformly positioned samples on arbitrary surfaces in R3. The basis functions (BF) used by SPHARA are determined by the eigenanalysis of the discrete Laplace–Beltrami operator, which is defined o...
Article
Full-text available
Recently, pervasive sensing technologies have been widely applied to comprehensive patient monitoring in order to improve clinical treatment. Various types of biomedical signals collected by different sensing channels provide different aspects of patient health information. However, due to the uncertainty and variability in clinical observation, no...
Preprint
Full-text available
In this document, we explore in more detail our published work (Komorowski, Celi, Badawi, Gordon, & Faisal, 2018) for the benefit of the AI in Healthcare research community. In the above paper, we developed the AI Clinician system, which demonstrated how reinforcement learning could be used to make useful recommendations towards optimal treatment d...
Article
Full-text available
Myoelectric prostheses help amputees to regain independence and a higher quality of life. These prostheses are controlled by state-of-the-art electromyography sensors, which use a conductive connection to the skin and are therefore sensitive to sweat. They are applied with some pressure to ensure a conductive connection, which may result in pressur...
Thesis
Full-text available
Non-communicable diseases are the leading cause of death and disability worldwide. Almost two thirds of them are linked to the following risk factors: physical inactivity, unhealthy diets, tobacco use, and harmful use of alcohol. At the same time, everyone is surrounded increasingly with wearables, like smartphones and smartwatches, making wearable...
Article
Full-text available
Closed-loop neuromodulation systems aim to treat a variety of neurological conditions by delivering and adjusting therapeutic electrical stimulation in response to a patient’s neural state, recorded in real time. Existing systems are limited by low channel counts, lack of algorithmic flexibility, and the distortion of recorded signals by large and...
Preprint
Full-text available
Key properties of brain-inspired hyperdimensional (HD) computing make it a prime candidate for energy-efficient and fast learning in biosignal processing. The main challenge is however to formulate embedding methods that map biosignal measures to a binary HD space. In this paper, we explore variety of such embedding methods and examine them with a...
Conference Paper
Full-text available
We present application of fractional calculus for two interesting electrophysiological interference cases: 1) electromyography noise in pulse rate signal, and 2) pulse rate noise in electromyography signal. In this paper signal-to-noise ratios between the signal after application of common procedure by using median filter, and novel procedure by ap...
Presentation
Full-text available
Application of fractional calculus for biosignal separation was presented by Nenad B. Popović with two interesting cases.
Conference Paper
Full-text available
Though R gained high popularity in recent years in areas of data science and bioinformatics, the application of R programming for digital signal processing is not widespread to large extent. “Signal” is the most popular CRAN package for signal processing in R. This package contains functions for filtering, resampling, interpolation and other routin...
Presentation
Full-text available
Digital biosignal processing with R with example of EMD (Empirical Mode Decomposition).
Conference Paper
Full-text available
This live demonstration presents a wearable system for neuro-vascular health assessment. The system is comprised of three key subcomponents: 1) a soft, fluid-driven thermal modulation pad, 2) a portable case containing electrical and mechanical hardware, and 3) off-board biosignal processing and power units. The soft thermal modulation pad (the onl...
Article
Full-text available
In biosignal processing, the importance of modeling and simulation to assist the development of methods, algorithms and systems is increasing. However, models and simulation environments may also be used in the later application, e.g. to enable physicians, therapists and nurses to provide assistance in treatment. Most of the time, however, the diff...
Article
Full-text available
Motion capture systems or MoCap systems are used for game development and in the field of sports for the assessment and digitalization of human movement. Furthermore, MoCap systems are also used in the medical and therapeutic field for the analysis of human movement patterns. As examples gait analysis or examination of the musculoskeletal system an...
Poster
Full-text available
The 2018 2nd International Conference on BioSignal Analysis, Processing and Systems (ICBAPS) will be held in Kuching, Malaysia on 24-26th July 2018. The conference provides dialogue platforms amongst researchers and industrial practitioners in the various subsets topic of biosignal processing, analysis and systems. In addition, there are many pre a...
Article
Full-text available
Enhanced understanding and control of electrophysiology mechanisms are increasingly being hailed as key knowledge in the fields of modern biology and medicine. As more and more excitable cell mechanics are being investigated and exploited, the need for flexible electrophysiology setups becomes apparent. With that aim, we designed Multimed, which is...
Article
Full-text available
Quantification of abnormal contractile motions of cardiac tissue has been a noteworthy challenge and significant limitation in assessing and classifying the drug‐induced arrhythmias (i.e. Torsades de pointes). To overcome these challenges, researchers have taken advantage of computational image processing tools to measure contractile motion from ca...
Poster
Full-text available
This study aims to provide an interdisciplinary perspective on biosignal processing for driver monitoring systems. Machine learning models were trained with ECG, Pupil Diameter and Eyelid Opening data from overnight sleep deprived subjects experiencing microsleep in a supervised test track driving environment. Model performance of 0.85 accuracy and...
Conference Paper
Full-text available
This study aims to provide an interdisciplinary perspective on biosignal processing for driver monitoring systems. Machine learning models were trained with ECG, Pupil Diameter and Eyelid Opening data from overnight sleep deprived subjects experiencing micros-leep in a supervised test track driving environment. Model performance of 0.85 accuracy an...
Article
Full-text available
Development of preparation-free functionalized furniture based patient monitoring systems for use in the area of home- or stationary- care is often empirically driven. In particular, functionalization of furniture by means of different sensors is strongly affected by this development methodology. As a result, the systems are often not extensive-ly...
Article
Full-text available
In the area of care in general but especially in the care of elderly, there is a great interest in deriving patient parameters preparation free. For this purpose, a load cell functionalized nursing bed has been developed at Niederrhein University of Applied Science. The system allows analysis and recognition of the persons’ positions and actions in...
Thesis
Full-text available
The purpose of this study was to provide an interdisciplinary perspective on biosignal processing for a driver monitoring system by developing a machine learning environment to detect microsleep. Hypotheses assumed improved classification performance for (1) biosignal multiplicity and (2) data processing multimodality. ECG, Pupil Diameter and Eyeli...
Article
Full-text available
Essential tremor is a disorder that causes involuntary oscillations in patients both while they are engaged in actions and when maintaining a posture. Such patients face serious difficulties in performing daily living activities such as meal movement. We have been developing an electromyogram (EMG)-controlled exoskeleton to suppress tremors to supp...
Article
Full-text available
A new digital filter, AMARS (aligning minima of alternating random signal) has been derived using trigonometry to regulate signal pulsations inline. The pulses are randomly presented in continuous signals comprising frequency band lower than the signal's mean rate. Frequency selective filters are conventionally employed to reject frequencies undesi...
Conference Paper
Full-text available
Fractional calculus studies the possibility of using non-integer derivatives and integral calculus. The are two main definitions or formulations for " Fractional derivative " and " Fractional integral " the first one was developed by Grunwald-Letnikov and the other one by Riemann-Liouville [1]. The Grunwald-Letnikov approach allows to take the deri...
Article
Full-text available
Manual lifting is one of the common practices used in the industries to transport or move objects to a desired place. Nowadays, even though mechanized equipment is widely available, manual lifting is still considered as an essential way to perform material handling task. Improper lifting strategies may contribute to musculoskeletal disorders (MSDs)...
Article
Full-text available
Progression and initiation of different diseases including pulmonary diseases, alzheimer's and tumors are linked with the oxidative stress, an important cause of cell damage. Different antioxidant enzymes are involved in detoxifying reactive oxygen species including hydrogen peroxide (H 2 O 2) that is generated in response to various stimuli and ha...
Article
Full-text available
In this study, we considered the problem of controlling a prosthetic hand with noisy electromyography (EMG) and mechanomyography (MMG) signals. Several dimensionality reduction methods were analyzed to assess their efficiency at classifying these signals, which were registered during the performance of grasping movements with various objects. Using...
Conference Paper
Full-text available
Efficient biosignal processing requires a solid algorithmic background as well as lightweight infrastructure. Job scheduling, namely the policy determining the maximum process number and the order of the actual process execution from the CPU, is closely related not only to performance but also to quality of service (QoS). Thus, scheduling policies...
Article
Full-text available
The aim of this paper is to discuss the latest nano-biosensor technologies and existing signal analyser algorithm methods so that an automatic and portable nano-biosensor analyser can be realised. In this paper, the latest nano-biosensors are reviewed, and particular attention is given to sensors that provide amplitude changes at their output. To p...
Article
Full-text available
Human hand functions range from precise minute handling to heavy and robust movements. Remarkably, 50% of all hand functions are made possible by the thumb. Therefore, developing an artificial thumb that can mimic the actions of a real thumb precisely is a major achievement. Despite many efforts dedicated to this area of research, control of artifi...
Article
Full-text available
The articles in this special issue is devoted to the emerging biomedical devices, circuits, systems, and applications. This issue covers such several topics dealing in particular with implantable/wearable electronics, brain¿¿¿machine/¿¿¿computer interfaces, biosensor devices and interfaces, telecare/point-of-care systems, body area/sensor networks,...
Article
Full-text available
Reservoir computing (RC) is gaining traction in several signal processing domains, owing to its nonlinear stateful computation, spatiotemporal encoding, and reduced training complexity over recurrent neural networks (RNNs). Previous studies have shown the effectiveness of software-based RCs for a wide spectrum of applications. A parallel body of wo...