The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

Velana, Maria; Gruss, Sascha; Layher, Georg; Thiam, Patrick; Zhang, Yan; Schork, Daniel; Kessler, Viktor; Meudt, Sascha; Neumann, Heiko; Kim, Jong-Hwa; Schwenker, Friedhelm; André, Elisabeth; Traue, Harald C.; Walter, Steffen

doi:10.1007/978-3-319-59259-6_11

Cited by 47 publications

(36 citation statements)

References 26 publications

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“…EDA measurement systems are based on the injection of a signal-usually an electric current-into the body using surface electrodes attached to the skin, and the electric voltage developed as a consequence of the injection of the current is usually recorded. Sweat gland permeability is the main responsible for skin conductance changes [322]. As sweat gland activity is neurally mediated through sympathetic activity, EDA is highly appreciated in psychophysiology and behavioral medicine [323].…”

Section: Skin Conductance Applicationsmentioning

confidence: 99%

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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This work develops a thorough review of bioimpedance systems for healthcare applications. The basis and fundamentals of bioimpedance measurements are described covering issues ranging from the hardware diagrams to the configurations and designs of the electrodes and from the mathematical models that describe the frequency behavior of the bioimpedance to the sources of noise and artifacts. Bioimpedance applications such as body composition assessment, impedance cardiography (ICG), transthoracic impedance pneumography, electrical impedance tomography (EIT), and skin conductance are described and analyzed. A breakdown of recent advances and future challenges of bioimpedance is also performed, addressing topics such as transducers for biosensors and Lab-on-Chip technology, measurements in implantable systems, characterization of new parameters and substances, and novel bioimpedance applications.

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Section: Skin Conductance Applicationsmentioning

confidence: 99%

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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“…It has been associated with great morbidity [8] and has also been proved to cause depression, neuroticism, sleep disorders, and anxiety [7]. Among the elderly population, it is a common impairment with a significant impact on physical and psychological state, quality of life, and even a barrier to social inclusiveness [19].…”

Section: Introductionmentioning

confidence: 99%

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

Naranjo-Hernández

Reina‐Tosina

Roa

2020

Sensors

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Non-oncologic chronic pain is a common high-morbidity impairment worldwide and acknowledged as a condition with significant incidence on quality of life. Pain intensity is largely perceived as a subjective experience, what makes challenging its objective measurement. However, the physiological traces of pain make possible its correlation with vital signs, such as heart rate variability, skin conductance, electromyogram, etc., or health performance metrics derived from daily activity monitoring or facial expressions, which can be acquired with diverse sensor technologies and multisensory approaches. As the assessment and management of pain are essential issues for a wide range of clinical disorders and treatments, this paper reviews different sensor-based approaches applied to the objective evaluation of non-oncological chronic pain. The space of available technologies and resources aimed at pain assessment represent a diversified set of alternatives that can be exploited to address the multidimensional nature of pain.

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“…Additionally, the already collected data is planned to be published for academic research purposes under the name "X-ITE (Experimentally Induced Thermal and Electrical) Pain Database". It may extend existing databases, such as BioVid Heat Pain and SenseEmotion 20,21 , and contribute to the further development, improvement, and/or evaluation of automated pain recognition systems in matters of validity, reliability, and real-time recognition.…”

Section: Introductionmentioning

confidence: 99%

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

Gruss

Geiger

Werner

et al. 2019

JoVE

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The assessment of pain relies mostly on methods that require a person to communicate. However, for people with cognitive and verbal impairments, existing methods are not sufficient as they lack reliability and validity. To approach this problem, recent research focuses on an objective pain assessment facilitated by parameters of responses derived from physiology, and video and audio signals. To develop reliable automated pain recognition systems, efforts have been made in creating multimodal databases in order to analyze pain and detect valid pain patterns. While the results are promising, they only focus on discriminating pain or pain intensities versus no pain. In order to advance this, research should also consider the quality and duration of pain as they provide additional valuable information for more advanced pain management. To complement existing databases and the analysis of pain regarding quality and length, this paper proposes a psychophysiological experiment to elicit, measure, and collect valid pain reactions. Participants are subjected to painful stimuli that differ in intensity (low, medium, and high), duration (5 s / 1 min), and modality (heat / electric pain) while audio, video (e.g., facial expressions, body gestures, facial skin temperature), and physiological signals (e.g., electrocardiogram [ECG], skin conductance level [SCL], facial electromyography [EMG], and EMG of M. trapezius) are being recorded. The study consists of a calibration phase to determine a subject's individual pain range (from low to intolerable pain) and a stimulation phase in which pain stimuli, depending on the calibrated range, are applied. The obtained data may allow refining, improving, and evaluating automated recognition systems in terms of an objective pain assessment. For further development of such systems and to investigate pain reactions in more detail, additional pain modalities such as pressure, chemical, or cold pain should be included in future studies. Recorded data of this study will be released as the "X-ITE Pain Database". Video Link The video component of this article can be found at https://www.jove.com/video/59057/ 14,15 based solely on one of the signal sets 10,11,12,13,14,15 as well as on a combination/fusion 16,17,19 of the sets. The abovementioned modalities react almost autonomously to stressful stimuli such as pain. Using them has the advantage that they do not require a person's ability to report her/his pain. Such individuals would greatly benefit from an objective pain recognition system which incorporates such modalities. Data sets consisting of reactions to elicited pain provide precious information for analyzing pain patterns and developing practical applications for detecting and monitoring pain. Amongst others, Walter et al. 20 created the "BioVid Heat Pain Database", a multimodal database that is publicly available and provides data from short-time induced painful heat stimuli and corresponding psychophysiological and visual reactions. The "SenseEmotion

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The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

Cited by 47 publications

References 26 publications

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli

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