What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Statistics
- Artificial intelligence
James Nicholas Watson mainly investigates Wavelet transform, Signal, Photoplethysmogram, Artificial intelligence and Wavelet.
The Wavelet transform study combines topics in areas such as Electrocardiography, Ventricular fibrillation and Signal processing.
James Nicholas Watson studies Signal, namely Pulse.
His Photoplethysmogram research incorporates themes from Intensive care, Respiratory rate and Respiratory system.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Constant, Interval, Computer vision and Pattern recognition.
His research brings together the fields of Algorithm and Wavelet.
His most cited work include:
- Method of analysis of medical signals (123 citations)
- CONTINUOUS WAVELET TRANSFORM MODULUS MAXIMA ANALYSIS OF THE ELECTROCARDIOGRAM: BEAT CHARACTERISATION AND BEAT-TO-BEAT MEASUREMENT (115 citations)
- LOW-OSCILLATION COMPLEX WAVELETS (113 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Signal, Artificial intelligence, Wavelet transform, Photoplethysmogram and Wavelet.
His Signal research is multidisciplinary, incorporating elements of Acoustics, Electronic engineering and Continuous wavelet transform.
He studied Artificial intelligence and Pattern recognition that intersect with Speech recognition.
His Wavelet transform study integrates concerns from other disciplines, such as Electrocardiography, Internal medicine, Ventricular fibrillation, Cardiology and Noise.
His work carried out in the field of Photoplethysmogram brings together such families of science as Breathing, Respiratory rate, Blood pressure and Respiratory system.
His Wavelet research integrates issues from Algorithm and Intensive care.
He most often published in these fields:
- Signal (54.84%)
- Artificial intelligence (29.68%)
- Wavelet transform (27.10%)
What were the highlights of his more recent work (between 2012-2020)?
- Signal (54.84%)
- Photoplethysmogram (25.81%)
- Real-time computing (7.10%)
In recent papers he was focusing on the following fields of study:
James Nicholas Watson spends much of his time researching Signal, Photoplethysmogram, Real-time computing, ALARM and Metric.
His studies in Signal integrate themes in fields like Acoustics, Blood pressure, Respiratory system, Artificial intelligence and Biomedical engineering.
Many of his research projects under Artificial intelligence are closely connected to Controller with Controller, tying the diverse disciplines of science together.
His research in Photoplethysmogram intersects with topics in Motion sensors, Biological system, Respiration rate and Intensive care medicine.
He interconnects Electrical engineering and Pulse in the investigation of issues within Real-time computing.
A large part of his Pattern recognition studies is devoted to Wavelet transform.
Between 2012 and 2020, his most popular works were:
- Pulse oximetry-derived respiratory rate in general care floor patients (48 citations)
- Multicenter Study Validating Accuracy of a Continuous Respiratory Rate Measurement Derived From Pulse Oximetry: A Comparison With Capnography. (26 citations)
- Sensor configurations for anatomical variations (14 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Statistics
- Blood pressure
James Nicholas Watson focuses on Photoplethysmogram, Signal, Real-time computing, Blood pressure and Pulse oximetry.
In his study, Pulse is strongly linked to Monitoring blood pressure, which falls under the umbrella field of Signal.
The study incorporates disciplines such as Cardiology and Standard deviation in addition to Pulse.
His Real-time computing study combines topics from a wide range of disciplines, such as Computer hardware and Blood pressure monitoring.
His studies in Pulse oximetry integrate themes in fields like Observational study, Respiratory rate and Intensive care medicine.
His biological study spans a wide range of topics, including Capnography and Internal medicine, Respiratory system.
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