Search Results - "Dixon, Anna R."
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Compressed Sensing System Considerations for ECG and EMG Wireless Biosensors
Published in IEEE transactions on biomedical circuits and systems (01-04-2012)“…Compressed sensing (CS) is an emerging signal processing paradigm that enables sub-Nyquist processing of sparse signals such as electrocardiogram (ECG) and…”
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Journal Article -
2
Locomotor Training Progression and Outcomes After Incomplete Spinal Cord Injury
Published in Physical therapy (01-12-2005)“…The use of locomotor training with a body-weight-support system and treadmill (BWST) and manual assistance has increased in rehabilitation. The purpose of this…”
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Journal Article -
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Synergies and Trade-offs Between Cultural and Natural Values of Sacred Sites – a Case Study of Ancient Burial Mounds in Central Europe
Published in Human ecology : an interdisciplinary journal (01-08-2024)“…In the Eurasian steppes, ancient burial mounds called ‘kurgans’ are among the most widespread manmade structures. These sacred sites hold cultural values and…”
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Journal Article -
4
Ferment this: the transformation of Noni, a traditional Polynesian medicine (Morinda citrifolia, Rubiaceae)
Published in Economic botany (1999)“…Research on the use of plants and other complementary medicines in Hawai'i drew our attention to Morinda citrifolia (Rubiaceae). Noni, as it is commonly known,…”
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Journal Article -
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Compressed Sensing Analog Front-End for Bio-Sensor Applications
Published in IEEE journal of solid-state circuits (01-02-2014)“…In a conventional bio-sensor, key signal features are acquired using Nyquist-rate analog-to-digital conversion without exploiting the typical bio-signal…”
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Journal Article -
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Hardware Implementation of an Adaptive Data Acquisition System for Real-World EEG
Published in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-07-2018)“…Collecting EEG involves digitizing a very small signal across a vast potential dynamic range, particularly within real-world neuroimaging conditions, where…”
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Conference Proceeding Journal Article -
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Compressive sampling of ECG bio-signals: Quantization noise and sparsity considerations
Published in 2010 Biomedical Circuits and Systems Conference (BioCAS) (01-11-2010)“…Compressed sensing (CS) is an emerging signal processing paradigm that enables the sub-Nyquist processing of sparse signals; i.e., signals with significant…”
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Conference Proceeding -
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Compressed sensing reconstruction: Comparative study with applications to ECG bio-signals
Published in 2011 IEEE International Symposium of Circuits and Systems (ISCAS) (01-05-2011)“…Compressed sensing (CS) is a rapidly emerging signal processing technique that enables accurate capture and reconstruction of sparse signals from only a…”
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Conference Proceeding -
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Compressive sampling of EMG bio-signals
Published in 2011 IEEE International Symposium of Circuits and Systems (ISCAS) (01-05-2011)“…Sub-Nyquist analog pre-processing of sparse signals is achieved using the emerging compressed sensing (CS) signal processing paradigm. Electrocardiogram (ECG)…”
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Conference Proceeding -
10
Health and wealth: Dietary supplements, network marketing and the commodification of health
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Dissertation -
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Health and wealth: Dietary supplements, network marketing and the commodification of health
Published 01-01-2003“…Dietary supplements overall constitute a multibillion-dollar industry in the U.S. today. This dissertation investigates a heretofore poorly-documented aspect…”
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Dissertation -
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Relevance and redundancy as selection techniques for human-autonomy sensor fusion
Published in 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (01-11-2017)“…Human-autonomy teaming using physiological sensors poses a novel sensor fusion problem due to the dynamic nature of the sensor models and the difficulty of…”
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Conference Proceeding -
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System considerations for the compressive sampling of EEG and ECoG bio-signals
Published in 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS) (01-11-2011)“…Analog domain Compressed Sensing (CS) has enabled dramatic levels of sub-Nyquist sampling of sparse signals in applications such as electrocardiogram (ECG) and…”
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Conference Proceeding