Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept
This proof-of-concept study explores the potential of developing objective pain identification based on the analysis of electroencephalography (EEG) signals. Data were collected from participants living with chronic fibromyalgia pain (<i>n</i> = 4) and from healthy volunteers (<i>n...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/16/6272 |
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| author | Colince Meli Segning Jessica Harvey Hassan Ezzaidi Karen Barros Parron Fernandes Rubens A. da Silva Suzy Ngomo |
| author_facet | Colince Meli Segning Jessica Harvey Hassan Ezzaidi Karen Barros Parron Fernandes Rubens A. da Silva Suzy Ngomo |
| author_sort | Colince Meli Segning |
| collection | DOAJ |
| description | This proof-of-concept study explores the potential of developing objective pain identification based on the analysis of electroencephalography (EEG) signals. Data were collected from participants living with chronic fibromyalgia pain (<i>n</i> = 4) and from healthy volunteers (<i>n</i> = 7) submitted to experimental pain by the application of capsaicin cream (1%) on the right upper trapezius. This data collection was conducted in two parts: (1) baseline measures including pain intensity and EEG signals, with the participant at rest; (2) active measures collected under the execution of a visuo-motor task, including EEG signals and the task performance index. The main measure for the objective identification of the presence of pain was the coefficient of variation of the upper envelope (CVUE) of the EEG signal from left fronto-central (FC5) and left temporal (T7) electrodes, in alpha (8–12 Hz), beta (12–30 Hz) and gamma (30–43 Hz) frequency bands. The task performance index was also calculated. CVUE (%) was compared between groups: those with chronic fibromyalgia pain, healthy volunteers with “No pain” and healthy volunteers with experimentally-induced pain. The identification of the presence of pain was determined by an increased CVUE in beta (CVUE<sub>β</sub>) from the EEG signals captured at the left FC5 electrode. More specifically, CVUE<sub>β</sub> increased up to 20% in the pain condition at rest. In addition, no correlation was found between CVUE<sub>β</sub> and pain intensity or the task performance index. These results support the objective identification of the presence of pain based on the quantification of the coefficient of variation of the upper envelope of the EEG signal. |
| first_indexed | 2024-03-09T12:36:00Z |
| format | Article |
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| language | English |
| last_indexed | 2024-03-09T12:36:00Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-73a3f1fbd79a4b21b4f94234e0a1a2802023-11-30T22:24:24ZengMDPI AGSensors1424-82202022-08-012216627210.3390/s22166272Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-ConceptColince Meli Segning0Jessica Harvey1Hassan Ezzaidi2Karen Barros Parron Fernandes3Rubens A. da Silva4Suzy Ngomo5Department of Applied Sciences, Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, CanadaRemix Health Clinic, Chicoutimi, QC G7H 7K9, CanadaDepartment of Applied Sciences, Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, CanadaDepartment of Health Sciences, Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, CanadaLaboratoire de Recherche Biomécanique et Neurophysiologique en Réadaptation Neuro-Musculo-Squelettique (<i>Lab BioNR</i>), Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, CanadaLaboratoire de Recherche Biomécanique et Neurophysiologique en Réadaptation Neuro-Musculo-Squelettique (<i>Lab BioNR</i>), Université du Québec à Chicoutimi (UQAC), Saguenay, QC G7H 2B1, CanadaThis proof-of-concept study explores the potential of developing objective pain identification based on the analysis of electroencephalography (EEG) signals. Data were collected from participants living with chronic fibromyalgia pain (<i>n</i> = 4) and from healthy volunteers (<i>n</i> = 7) submitted to experimental pain by the application of capsaicin cream (1%) on the right upper trapezius. This data collection was conducted in two parts: (1) baseline measures including pain intensity and EEG signals, with the participant at rest; (2) active measures collected under the execution of a visuo-motor task, including EEG signals and the task performance index. The main measure for the objective identification of the presence of pain was the coefficient of variation of the upper envelope (CVUE) of the EEG signal from left fronto-central (FC5) and left temporal (T7) electrodes, in alpha (8–12 Hz), beta (12–30 Hz) and gamma (30–43 Hz) frequency bands. The task performance index was also calculated. CVUE (%) was compared between groups: those with chronic fibromyalgia pain, healthy volunteers with “No pain” and healthy volunteers with experimentally-induced pain. The identification of the presence of pain was determined by an increased CVUE in beta (CVUE<sub>β</sub>) from the EEG signals captured at the left FC5 electrode. More specifically, CVUE<sub>β</sub> increased up to 20% in the pain condition at rest. In addition, no correlation was found between CVUE<sub>β</sub> and pain intensity or the task performance index. These results support the objective identification of the presence of pain based on the quantification of the coefficient of variation of the upper envelope of the EEG signal.https://www.mdpi.com/1424-8220/22/16/6272painEEG signalcoefficient of variation of the upper envelope (CVUE)beta EEG frequency band |
| spellingShingle | Colince Meli Segning Jessica Harvey Hassan Ezzaidi Karen Barros Parron Fernandes Rubens A. da Silva Suzy Ngomo Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept Sensors pain EEG signal coefficient of variation of the upper envelope (CVUE) beta EEG frequency band |
| title | Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept |
| title_full | Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept |
| title_fullStr | Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept |
| title_full_unstemmed | Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept |
| title_short | Towards the Objective Identification of the Presence of Pain Based on Electroencephalography Signals’ Analysis: A Proof-of-Concept |
| title_sort | towards the objective identification of the presence of pain based on electroencephalography signals analysis a proof of concept |
| topic | pain EEG signal coefficient of variation of the upper envelope (CVUE) beta EEG frequency band |
| url | https://www.mdpi.com/1424-8220/22/16/6272 |
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