Home-Based Monitoring of Eating in Adolescents: A Pilot Study
Objectives: To investigate eating episodes in a group of adolescents in their home-setting using wearable electromyography (EMG) and camera, and to evaluate the agreement between the two devices. Approach: Fifteen adolescents (15.5 ± 1.3 years) had a smartphone-assisted wearable-EMG device attached...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/13/12/4354 |
| _version_ | 1797501767348387840 |
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| author | Ghassan Idris Claire Smith Barbara Galland Rachael Taylor Christopher John Robertson Mauro Farella |
| author_facet | Ghassan Idris Claire Smith Barbara Galland Rachael Taylor Christopher John Robertson Mauro Farella |
| author_sort | Ghassan Idris |
| collection | DOAJ |
| description | Objectives: To investigate eating episodes in a group of adolescents in their home-setting using wearable electromyography (EMG) and camera, and to evaluate the agreement between the two devices. Approach: Fifteen adolescents (15.5 ± 1.3 years) had a smartphone-assisted wearable-EMG device attached to the jaw to assess chewing features over one evening. EMG outcomes included chewing pace, time, episode count, and mean power. An automated wearable-camera worn on the chest facing outwards recorded four images/minute. The agreement between the camera and the EMG device in detecting eating episodes was evaluated by calculating specificity, sensitivity, and accuracy. Main results: The features of eating episodes identified by EMG throughout the entire recording time were (mean (SD)); chewing pace 1.64 (0.20) Hz, time 10.5 (10.4) minutes, episodes count 56.8 (39.0), and power 32.1% (4.3). The EMG device identified 5.1 (1.8) eating episodes lasting 27:51 (16:14) minutes whereas the cameras indicated 2.4 (2.1) episodes totaling 14:49 (11:18) minutes, showing that the EMG-identified chewing episodes were not all detected by the camera. However, overall accuracy of eating episodes identified ranged from 0.8 to 0.92. Significance: The combination of wearable EMG and camera is a promising tool to investigate eating behaviors in research and clinical-settings. |
| first_indexed | 2024-03-10T03:24:18Z |
| format | Article |
| id | doaj.art-429ce33eefa2495fb6016279ca64b0a5 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T03:24:18Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-429ce33eefa2495fb6016279ca64b0a52023-11-23T09:56:33ZengMDPI AGNutrients2072-66432021-12-011312435410.3390/nu13124354Home-Based Monitoring of Eating in Adolescents: A Pilot StudyGhassan Idris0Claire Smith1Barbara Galland2Rachael Taylor3Christopher John Robertson4Mauro Farella5Metro North Hospital and Health Service, Queensland Children’s Hospital, Brisbane, QLD 4101, AustraliaDepartment of Human Nutrition, University of Otago, Dunedin 9016, New ZealandDepartment of Women’s and Children’s Health, University of Otago, Dunedin 9016, New ZealandDepartment of Medicine, University of Otago, Dunedin 9016, New ZealandSir John Walsh Research Institute, University of Otago, Dunedin 9016, New ZealandSir John Walsh Research Institute, University of Otago, Dunedin 9016, New ZealandObjectives: To investigate eating episodes in a group of adolescents in their home-setting using wearable electromyography (EMG) and camera, and to evaluate the agreement between the two devices. Approach: Fifteen adolescents (15.5 ± 1.3 years) had a smartphone-assisted wearable-EMG device attached to the jaw to assess chewing features over one evening. EMG outcomes included chewing pace, time, episode count, and mean power. An automated wearable-camera worn on the chest facing outwards recorded four images/minute. The agreement between the camera and the EMG device in detecting eating episodes was evaluated by calculating specificity, sensitivity, and accuracy. Main results: The features of eating episodes identified by EMG throughout the entire recording time were (mean (SD)); chewing pace 1.64 (0.20) Hz, time 10.5 (10.4) minutes, episodes count 56.8 (39.0), and power 32.1% (4.3). The EMG device identified 5.1 (1.8) eating episodes lasting 27:51 (16:14) minutes whereas the cameras indicated 2.4 (2.1) episodes totaling 14:49 (11:18) minutes, showing that the EMG-identified chewing episodes were not all detected by the camera. However, overall accuracy of eating episodes identified ranged from 0.8 to 0.92. Significance: The combination of wearable EMG and camera is a promising tool to investigate eating behaviors in research and clinical-settings.https://www.mdpi.com/2072-6643/13/12/4354eating monitoringchewing featuresadolescentsbody mass indexelectromyographyautomated camera |
| spellingShingle | Ghassan Idris Claire Smith Barbara Galland Rachael Taylor Christopher John Robertson Mauro Farella Home-Based Monitoring of Eating in Adolescents: A Pilot Study Nutrients eating monitoring chewing features adolescents body mass index electromyography automated camera |
| title | Home-Based Monitoring of Eating in Adolescents: A Pilot Study |
| title_full | Home-Based Monitoring of Eating in Adolescents: A Pilot Study |
| title_fullStr | Home-Based Monitoring of Eating in Adolescents: A Pilot Study |
| title_full_unstemmed | Home-Based Monitoring of Eating in Adolescents: A Pilot Study |
| title_short | Home-Based Monitoring of Eating in Adolescents: A Pilot Study |
| title_sort | home based monitoring of eating in adolescents a pilot study |
| topic | eating monitoring chewing features adolescents body mass index electromyography automated camera |
| url | https://www.mdpi.com/2072-6643/13/12/4354 |
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