What is she best known for?
The fields of study she is best known for:
- Electrical engineering
- Internal medicine
- Artificial intelligence
Her primary areas of study are Biomedical engineering, Nanotechnology, Computer hardware, Lumen and Control engineering.
In her research, Elizabeth A. Sweeney performs multidisciplinary study on Biomedical engineering and Antimicrobial.
Her Nanotechnology study combines topics from a wide range of disciplines, such as Biological tissue, Excitation, Electrical engineering and Biological membrane.
Her Computer hardware research integrates issues from Stimulus and Nervous system.
Her Lumen study combines topics in areas such as Body fluid and Active devices.
Her Control engineering research includes themes of Dilation, Compression garment, Mechanical engineering, Shunt and Actuator.
Her most cited work include:
- Health-related signaling via wearable items (149 citations)
- Lumen-traveling device (135 citations)
- Lumen-traveling delivery device (117 citations)
What are the main themes of her work throughout her whole career to date?
Elizabeth A. Sweeney mainly focuses on Biomedical engineering, Artificial intelligence, Computer vision, Human–computer interaction and Acoustics.
Her work on Lumen and Biological tissue is typically connected to Ex vivo as part of general Biomedical engineering study, connecting several disciplines of science.
In general Computer vision, her work in Feature and Landmark is often linked to Digital image linking many areas of study.
Her Landmark research is multidisciplinary, incorporating perspectives in Reference image and Feature matching.
Her Human–computer interaction study frequently links to adjacent areas such as Electronic circuit.
Her Acoustics research focuses on Analyte and how it connects with Viscous material and Shell.
She most often published in these fields:
- Biomedical engineering (15.31%)
- Artificial intelligence (10.88%)
- Computer vision (10.20%)
What were the highlights of her more recent work (between 2014-2020)?
- Stimulus (6.80%)
- Stimulation (3.74%)
- Wearable computer (3.74%)
In recent papers she was focusing on the following fields of study:
Stimulus, Stimulation, Wearable computer, Computing systems and Object are her primary areas of study.
Her biological study spans a wide range of topics, including Communication, Audiology, Human–computer interaction, Electrical control and Biomedical engineering.
Elizabeth A. Sweeney incorporates Biomedical engineering and Therapeutic radiation in her research.
She has researched Wearable computer in several fields, including Situation awareness, Computer vision, Haptic technology, Artificial intelligence and Neural stimulation.
Her Object research includes elements of Acoustics, Computer hardware, Control, Signal and Electronic engineering.
In her research on the topic of Computer hardware, Substrate is strongly related with Pharmacology.
Between 2014 and 2020, her most popular works were:
- Feedback for enhanced situational awareness (61 citations)
- Monitoring body movement or condition according to motion regimen with conformal electronics (48 citations)
- Garment system including at least one muscle or joint activity sensor and at least one actuator responsive to the sensor and related methods (23 citations)
In her most recent research, the most cited papers focused on:
- Electrical engineering
- Internal medicine
- Artificial intelligence
Her main research concerns Object, Human–computer interaction, Control, Computer hardware and State.
Her Object research incorporates themes from Relative velocity, Acceleration, Engineering drawing and Automotive engineering.
She interconnects Electrical control, Output device and Inflatable in the investigation of issues within Human–computer interaction.
In her research, Wearable computer is intimately related to Situation awareness, which falls under the overarching field of Control.
Her Computer hardware study incorporates themes from Control engineering, Substrate and Compression, Compression garment.
Her Substrate research incorporates elements of Conformable matrix, Identification, Motion sensors, Electronics and Pharmacology.
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