Intelligent Biosignal Analysis Methods

Jović, Alan

doi:10.3390/s21144743

Cited by 2 publications

(3 citation statements)

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“…Different technologies are required for various scenarios that involve the analysis of biosignals. There are other biosignals such as bioimpedance and biomagnetic signals, but they are not often used because of their measurement complexity and implementation [100]. Biosignals originating from various internal or external sites such as the skin, heart, chest, skull, and skeletal muscles are easier to implement and process since they result from a sum of action potentials.…”

Section: Neuromorphic Approaches For Biosignal Analysismentioning

confidence: 99%

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Neuromorphic applications in medicine

et al. 2023

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In recent years, there has been a growing demand for miniaturization, low power consumption, quick treatments, and non-invasive clinical strategies in the healthcare industry. To meet these demands, healthcare professionals are seeking new technological paradigms that can improve diagnostic accuracy while ensuring patient compliance. Neuromorphic engineering, which uses neural models in hardware and software to replicate brain-like behaviors, can help usher in a new era of medicine by delivering low power, low latency, small footprint, and high bandwidth solutions. This paper provides an overview of recent neuromorphic advancements in medicine, including medical imaging and cancer diagnosis, processing of biosignals for diagnosis, and biomedical interfaces, such as motor, cognitive, and perception prostheses. For each section, we provide examples of how brain-inspired models can successfully compete with conventional artificial intelligence algorithms, demonstrating the potential of neuromorphic engineering to meet demands and improve patient outcomes. Lastly, we discuss current struggles in fitting neuromorphic hardware with non-neuromorphic technologies and propose potential solutions for future bottlenecks in hardware compatibility.

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Section: Neuromorphic Approaches For Biosignal Analysismentioning

confidence: 99%

“…Biosignals originating from various internal or external sites such as the skin, heart, chest, skull, and skeletal muscles are easier to implement and process since they result from a sum of action potentials. However, their diverse characteristics require different extraction methods [100].…”

Section: Neuromorphic Approaches For Biosignal Analysismentioning

confidence: 99%

Neuromorphic applications in medicine

et al. 2023

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“…We therefore seek to suppress some common kinds of noise in EGG signals post hoc. While there is a body of literature on the de-noising of biophysical signals, e.g., [9], there appears to be only a few existing studies specifically on de-noising the EGG signal. Bouzid and Ellouze [10] applied the wavelet transform with multiscale products and reported good results for several EGG features, even with noisy signals.…”

Section: Introductionmentioning

confidence: 99%

Pragmatic De-Noising of Electroglottographic Signals

Ternström

2024

Bioengineering

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In voice analysis, the electroglottographic (EGG) signal has long been recognized as a useful complement to the acoustic signal, but only when the vocal folds are actually contacting, such that this signal has an appreciable amplitude. However, phonation can also occur without the vocal folds contacting, as in breathy voice, in which case the EGG amplitude is low, but not zero. It is of great interest to identify the transition from non-contacting to contacting, because this will substantially change the nature of the vocal fold oscillations; however, that transition is not in itself audible. The magnitude of the cycle-normalized peak derivative of the EGG signal is a convenient indicator of vocal fold contacting, but no current EGG hardware has a sufficient signal-to-noise ratio of the derivative. We show how the textbook techniques of spectral thresholding and static notch filtering are straightforward to implement, can run in real time, and can mitigate several noise problems in EGG hardware. This can be useful to researchers in vocology.

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Intelligent Biosignal Analysis Methods

Abstract: This Editorial presents the accepted manuscripts for the special issue “Intelligent Biosignal Analysis Methods” of the Sensors MDPI journal [...]

Cited by 2 publications

References 12 publications

Neuromorphic applications in medicine

Neuromorphic applications in medicine

Pragmatic De-Noising of Electroglottographic Signals

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