Automated Pain Recognition (original) (raw)
Automated Pain Recognition (APR) is a method for objectively measuring pain and at the same time represents an interdisciplinary research area that comprises elements of medicine, psychology, psychobiology, and computer science. The focus is on computer-aided objective recognition of pain, implemented on the basis of machine learning. However, the clinical implementation of this approach is a controversial topic in the field of pain research. Critics of automated pain recognition argue that pain diagnosis can only be performed subjectively by humans.
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| dbo:abstract | Die Automatisierte Schmerzerkennung (AS) ist eine Methode zur objektiven Messung von Schmerz und stellt zugleich ein interdisziplinäres Forschungsfeld dar, das Teile der Medizin, Psychologie, Psychobiologie und Informatik umfasst. Der Fokus liegt in der computergestützten objektiven Erkennung von Schmerzen, welche auf der Basis maschinellen Lernens realisiert wird. Die automatisierte Schmerzerkennung ermöglicht eine valide und reliable Detektion bzw. Monitoring des Schmerzes bei Menschen ohne verbale Kommunikationsmöglichkeiten. Die dabei zugrunde liegenden maschinellen Lernverfahren werden im Vorfeld anhand menschlicher uni- oder multimodaler Körpersignale trainiert und validiert. Signale zur Detektion des Schmerzes können mimischen, gestischen, (psycho-)physiologischen und paralinguistischen Charakter haben. Bisher steht die Erkennung der Schmerzintensität im Vordergrund, visionär wird aber auch die Erkennung der Qualität, der Lokalisation und des zeitlichen Verlaufs des Schmerzes angestrebt. Die klinische Implementierung wird im Bereich der Schmerzforschung jedoch kontrovers diskutiert. Kritiker der automatisierten Schmerzerkennung vertreten den Standpunkt, dass eine Schmerzdiagnostik nur subjektiv durch den Menschen erfolgen kann. (de) Automated Pain Recognition (APR) is a method for objectively measuring pain and at the same time represents an interdisciplinary research area that comprises elements of medicine, psychology, psychobiology, and computer science. The focus is on computer-aided objective recognition of pain, implemented on the basis of machine learning. Automated pain recognition allows for the valid, reliable detection and monitoring of pain in people who are unable to communicate verbally. The underlying machine learning processes are trained and validated in advance by means of unimodal or multimodal body signals. Signals used to detect pain may include facial expressions or gestures and may also be of a (psycho-)physiological or paralinguistic nature. To date, the focus has been on identifying pain intensity, but visionary efforts are also being made to recognize the quality, site, and temporal course of pain. However, the clinical implementation of this approach is a controversial topic in the field of pain research. Critics of automated pain recognition argue that pain diagnosis can only be performed subjectively by humans. (en) |
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| rdfs:comment | Automated Pain Recognition (APR) is a method for objectively measuring pain and at the same time represents an interdisciplinary research area that comprises elements of medicine, psychology, psychobiology, and computer science. The focus is on computer-aided objective recognition of pain, implemented on the basis of machine learning. However, the clinical implementation of this approach is a controversial topic in the field of pain research. Critics of automated pain recognition argue that pain diagnosis can only be performed subjectively by humans. (en) Die Automatisierte Schmerzerkennung (AS) ist eine Methode zur objektiven Messung von Schmerz und stellt zugleich ein interdisziplinäres Forschungsfeld dar, das Teile der Medizin, Psychologie, Psychobiologie und Informatik umfasst. Der Fokus liegt in der computergestützten objektiven Erkennung von Schmerzen, welche auf der Basis maschinellen Lernens realisiert wird. (de) |
| rdfs:label | Automatisierte Schmerzerkennung (de) Automated Pain Recognition (en) |
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