What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Internal medicine
- Statistics
Lionel Tarassenko mostly deals with Artificial intelligence, Respiratory rate, Pattern recognition, Photoplethysmogram and Machine learning.
Lionel Tarassenko merges Artificial intelligence with Construct in his research.
His Respiratory rate research integrates issues from Vagal tone, Oxygen saturation, Vital signs and Intensive care medicine.
His study in Pattern recognition is interdisciplinary in nature, drawing from both Electroencephalography, Speech recognition, Probabilistic logic, Nonlinear system and Epilepsy.
In his study, Pulse oximetry is inextricably linked to Kalman filter, which falls within the broad field of Photoplethysmogram.
His Machine learning research is multidisciplinary, incorporating elements of Information system and Pattern recognition.
His most cited work include:
- Review: A review of novelty detection (858 citations)
- A dynamical model for generating synthetic electrocardiogram signals (841 citations)
- Normal ranges of heart rate and respiratory rate in children from birth to 18 years of age: a systematic review of observational studies (563 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Vital signs, Artificial neural network, Pattern recognition and Medical emergency.
His study looks at the relationship between Artificial intelligence and fields such as Data mining, as well as how they intersect with chemical problems.
Lionel Tarassenko has researched Vital signs in several fields, including Observational study, Respiratory rate, Warning system, Intensive care medicine and Emergency medicine.
As part of one scientific family, he deals mainly with the area of Respiratory rate, narrowing it down to issues related to the Cardiology, and often Blood pressure.
His Artificial neural network study integrates concerns from other disciplines, such as Speech recognition and Very-large-scale integration.
His work deals with themes such as Mobile phone, Emergency department and Clinical trial, which intersect with Medical emergency.
He most often published in these fields:
- Artificial intelligence (24.70%)
- Vital signs (15.44%)
- Artificial neural network (14.25%)
What were the highlights of his more recent work (between 2017-2021)?
- Blood pressure (8.79%)
- Vital signs (15.44%)
- Emergency medicine (10.21%)
In recent papers he was focusing on the following fields of study:
Blood pressure, Vital signs, Emergency medicine, Respiratory rate and Randomized controlled trial are his primary areas of study.
His Vital signs research is multidisciplinary, incorporating perspectives in Observational study, Patient safety, Video camera, Acute hospital and Pediatrics.
His research in Respiratory rate intersects with topics in Electrocardiography, Photoplethysmogram, Neonatal intensive care unit and Pattern recognition.
Lionel Tarassenko has included themes like Remote patient monitoring, Wavelet, Artificial intelligence, Computer vision and Continuous monitoring in his Photoplethysmogram study.
His Artificial intelligence and Artificial neural network and Cluster analysis investigations all form part of his Artificial intelligence research activities.
His research integrates issues of Intervention, Self-management, Physical therapy and Glycemic in his study of Randomized controlled trial.
Between 2017 and 2021, his most popular works were:
- Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial (129 citations)
- Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review (88 citations)
- Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial. (42 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Statistics
His primary areas of investigation include Emergency medicine, Blood pressure, Respiratory rate, Vital signs and Randomized controlled trial.
His studies deal with areas such as Photoplethysmogram and Key as well as Respiratory rate.
The study incorporates disciplines such as Remote patient monitoring, Longest common subsequence problem, Artificial intelligence, Video monitoring and Continuous monitoring in addition to Photoplethysmogram.
His Artificial intelligence research incorporates elements of Modulation, Signal, Computer vision and Pattern recognition.
His Vital signs research includes themes of Respiratory failure, Retrospective cohort study and Pneumonia.
The various areas that Lionel Tarassenko examines in his Randomized controlled trial study include Odds ratio, Abnormal oral glucose tolerance, Physical therapy and Obstetrics.
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