Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"biosignal"”.
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Biosignal Recording with Integrated Circuits
… technology to fabricate electrodes for recording biosignals from small worms is demonstrated and the VSR system as well as the spiking neuron model contribute to advances in signal-to-information conversion and neuromorphic signal processing. These findings pave the way for miniaturized, …
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Biosignal acquisition for epidermal electronics
Amplifiers for biomedical applications have been a subject of study for more than a century. However, it was not until this last decade that amplifiers that conform to the skin mechanics were introduced. The introduction of such a class of electronics brings along technical challenges from the …
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Biosignal acquisition and interfacing technique for post stroke rehabilitation
This thesis presented a wireless monitoring system which consist of data logging function for hand movement related both to sportsman and patient. The system which comprised of the application of gyroscope and accelerometer sensor was tested on healthy normal subject for the initial proof of …
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Toward effective and generalisable machine learning for biosignal time series
Biosignal time series collected from wearable devices, such as electrocardiograms (ECG), electroencephalograms (EEG), and Inertial Measurement Units (IMUs), enable continuous monitoring of human physiology and behaviour. Using these signals provides unique opportunities to advance personalised …
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Biosignal-based Adaptivity in eXtended Reality towards Mental State Assessment and Regulation
L'abstract è presente nell'allegato / the abstract is in the attachment
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Toward Wireless Wearable Devices Based on Biocompatible AlN Piezoelectric Sensors for Multiple Biosignal Monitoring
L'abstract è presente nell'allegato / the abstract is in the attachment
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BioSignalML: An abstract model for physiological time-series data
This thesis proposes a new standard framework, BioSignalML, for describing physiological time-series data, in order to address some of the challenges created by the diverse range of formats used for biosignal storage and exchange. I argue that the main cause of difficulties for researchers, wanting …
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An AFE based embedded system for physiological computing
… known as the analog front end (AFE) for biosignal acquisition, conditioning, and vital bridging function. Being discrete and analog, signal processing is limited. Besides, with large form factor, component counts and power consumption increase with the constant need for calibration. For …
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The design and development of an upper limb assistive technology
Using modern robotic and biosignal integrated technologies; patients with limited upperlimb mobility due to paresis, may finally have the opportunity to regain normal movement. An effective yet portable upper limb assistive orthosis has not yet been developed to rehabilitate these patients. A …
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Elicitation techniques for the evaluation of speech under stress: Towards a framework for use in a controlled environment
… during tasks that involve speech content. Biosignal analysis (commercial Brain Computer Interfaces, eye tracking and skin resistance) is used to verify and quantify the stress response, if any. This thesis explains the basis of the author’s hypotheses on the elicitation of affectively-toned …
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Design and Implementation of Complexity Reduced Digital Signal Processors for Low Power Biomedical Applications
… focuses on reducing the hardware complexity of a biosignal DSP and presents low hardware complexity solutions that can be employed in the aforemen-tioned wearable platforms. A typical state-of-the-art system utilizes Sigma Delta (Σ∆) ADCs incorporating a Σ∆ modulator and a decimation filter whereas …
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Hand Gesture Recognition via Electromyographic (EMG) Armband for CAD Software CONTROL
… hand shape by means of a glove, cameras, or biosignals. One particularly useful biosignal for this task is the forearm Electromyographic (EMG) Signal. This signal reflects the contraction state of the forearm muscles. EMG signals are already being used in prosthetics to help amputees have more …
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Human-centered Ambient Artificial Intelligence In Smart Buildings
… were compared using pre-processed six different biosignal inputs. On the WESAD laboratory dataset, machine learning models achieved up to 96%/94% (Accuracy/F1), while GPT-4.1 reached a comparable 91%/87% using few-shot prompting. For the more complex WDDISSE lab dataset, Gradient Boosting …
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Efficient, robust and uncertainty aware mobile health
… evaluation of several medical imaging and biosignal datasets and state-of-the-art architectures demonstrates strong performance in accuracy and uncertainty metrics as well as computation gain, highlighting the benefit of combining multiple structurally diverse models that can be jointly …
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Adaptation and Control State Detection Techniques for Brain-Computer Interfaces
A brain computer interface (BCI) is an alternate channel of communication between the user and the computer, without having to go through the usual neuromuscular pathways. Using BCI, disabled patients can communicate with a computer or control a prosthetic device just by modulating his/her brain …
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EEG-based Brain Computer Interface with Deep Learning
Electroencephalogram (EEG)-based Brain Computer Interfaces (BCI) are very important and have been widely used in multiple application domains, ranging from human-computer interaction to medical and biomedical applications. To overcome the challenge of EEG representation learning, we propose a Long …