Willis J. Tompkins

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Electrical engineering
• Statistics

His primary areas of investigation include Signal processing, QRS complex, Artificial intelligence, Filter and Signal. The various areas that Willis J. Tompkins examines in his Signal processing study include Artificial neural network, Digital signal processing, Adaptive filter, Data reduction and Bandwidth. His research integrates issues of Algorithm, Electronic engineering and Noise in his study of QRS complex.

His study in Artificial intelligence is interdisciplinary in nature, drawing from both Short-time Fourier transform, Ventricular fibrillation, Ambulatory ECG, Beat and Pattern recognition. His Filter research is multidisciplinary, incorporating perspectives in Digital filter and Band-pass filter. His Digital filter research integrates issues from Electrocardiography, Beat detection and Sensitivity.

His most cited work include:

• A Real-Time QRS Detection Algorithm (4921 citations)
• Quantitative Investigation of QRS Detection Rules Using the MIT/BIH Arrhythmia Database (929 citations)
• Electrotactile and vibrotactile displays for sensory substitution systems (665 citations)

What are the main themes of his work throughout his whole career to date?

Willis J. Tompkins mainly investigates Artificial intelligence, Pattern recognition, Acoustics, Electronic engineering and Signal processing. His research investigates the connection between Artificial intelligence and topics such as Beat that intersect with issues in Data compression. As a member of one scientific family, Willis J. Tompkins mostly works in the field of Pattern recognition, focusing on Speech recognition and, on occasion, Filter bank, Electrocardiography, Signal and Time–frequency analysis.

His Electronic engineering study incorporates themes from Electrical impedance tomography, QRS complex and Iterative reconstruction. Willis J. Tompkins interconnects Signal-to-noise ratio, Algorithm, Noise and Sensitivity in the investigation of issues within QRS complex. His studies examine the connections between Signal processing and genetics, as well as such issues in Filter, with regards to Band-pass filter.

He most often published in these fields:

• Artificial intelligence (21.38%)
• Pattern recognition (15.86%)
• Acoustics (14.48%)

What were the highlights of his more recent work (between 2000-2018)?

• Biometrics (3.45%)
• Artificial intelligence (21.38%)
• Medical education (2.76%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Biometrics, Artificial intelligence, Medical education, Curriculum and Pattern recognition. In his research on the topic of Biometrics, Identity, Fingerprint, Fingerprint recognition, Artificial neural network and Body mass index is strongly related with Lead. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Electrocardiography, Additive white Gaussian noise, Spline and Ventricular tachycardia.

Willis J. Tompkins has included themes like Spline interpolation, Interpolation, Data point and Morphing, Computer vision in his Electrocardiography study. His study looks at the intersection of Curriculum and topics like Biomedical education with Biomedical engineering, Informatics engineering and University level. His studies deal with areas such as Speech recognition, Peak detection and Range as well as Pattern recognition.

Between 2000 and 2018, his most popular works were:

• One-lead ECG for identity verification (242 citations)
• EMD-based 60-Hz noise filtering of the ECG (55 citations)
• Standardized instrument for lingual pressure measurement. (55 citations)

In his most recent research, the most cited papers focused on:

• Electrical engineering
• Artificial intelligence
• Statistics

His primary areas of study are Biometrics, Artificial intelligence, Pattern recognition, Template matching and Speech recognition. His research integrates issues of Additive white Gaussian noise, Peak detection and Range in his study of Artificial intelligence. His work carried out in the field of Speech recognition brings together such families of science as Liveness and Identification system, Identification.

His Fingerprint study frequently intersects with other fields, such as Signal processing. Willis J. Tompkins works mostly in the field of Signal processing, limiting it down to concerns involving Noise figure and, occasionally, Noise, Filter and Hilbert–Huang transform. His Filter study combines topics from a wide range of disciplines, such as Noise temperature and Noise floor.