Tracking Clinical Staff Behaviors in an Operating Room
Inadequate staff behaviors in an operating room (OR) may lead to environmental contamination and increase the risk of surgical site infection. In order to assess this statement objectively, we have developed an approach to analyze OR staff behaviors using a motion tracking system. The present articl...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/10/2287 |
| _version_ | 1818038685350756352 |
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| author | Christine Azevedo-Coste Roger Pissard-Gibollet Gaelle Toupet Éric Fleury Jean-Christophe Lucet Gabriel Birgand |
| author_facet | Christine Azevedo-Coste Roger Pissard-Gibollet Gaelle Toupet Éric Fleury Jean-Christophe Lucet Gabriel Birgand |
| author_sort | Christine Azevedo-Coste |
| collection | DOAJ |
| description | Inadequate staff behaviors in an operating room (OR) may lead to environmental contamination and increase the risk of surgical site infection. In order to assess this statement objectively, we have developed an approach to analyze OR staff behaviors using a motion tracking system. The present article introduces a solution for the assessment of individual displacements in the OR by: (1) detecting human presence and quantifying movements using a motion capture (MOCAP) system and (2) observing doors’ movements by means of a wireless network of inertial sensors fixed on the doors and synchronized with the MOCAP system. The system was used in eight health care facilities sites during 30 cardiac and orthopedic surgery interventions. A total of 119 h of data were recorded and analyzed. Three hundred thirty four individual displacements were reconstructed. On average, only 10.6% individual positions could not be reconstructed and were considered undetermined, i.e., the presence in the room of the corresponding staff member could not be determined. The article presents the hardware and software developed together with the obtained reconstruction performances. |
| first_indexed | 2024-12-10T07:46:40Z |
| format | Article |
| id | doaj.art-453f841386314915b9c1a04585025a42 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:46:40Z |
| publishDate | 2019-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-453f841386314915b9c1a04585025a422022-12-22T01:57:10ZengMDPI AGSensors1424-82202019-05-011910228710.3390/s19102287s19102287Tracking Clinical Staff Behaviors in an Operating RoomChristine Azevedo-Coste0Roger Pissard-Gibollet1Gaelle Toupet2Éric Fleury3Jean-Christophe Lucet4Gabriel Birgand5Institut National de Recherche en Informatique et en Automatique (INRIA), Université de Montpellier, 34095 Montpellier, FranceInstitut National de Recherche en Informatique et en Automatique (INRIA), Grenoble Rhône-Alpes, 38330 Montbonnot, FranceAPHP Bichat University Hospital, Infection Control Unit, 75018 Paris, FranceInstitut National de Recherche en Informatique et en Automatique (INRIA), Grenoble Rhône-Alpes, 38330 Montbonnot, FranceAPHP Bichat University Hospital, Infection Control Unit, 75018 Paris, FranceAPHP Bichat University Hospital, Infection Control Unit, 75018 Paris, FranceInadequate staff behaviors in an operating room (OR) may lead to environmental contamination and increase the risk of surgical site infection. In order to assess this statement objectively, we have developed an approach to analyze OR staff behaviors using a motion tracking system. The present article introduces a solution for the assessment of individual displacements in the OR by: (1) detecting human presence and quantifying movements using a motion capture (MOCAP) system and (2) observing doors’ movements by means of a wireless network of inertial sensors fixed on the doors and synchronized with the MOCAP system. The system was used in eight health care facilities sites during 30 cardiac and orthopedic surgery interventions. A total of 119 h of data were recorded and analyzed. Three hundred thirty four individual displacements were reconstructed. On average, only 10.6% individual positions could not be reconstructed and were considered undetermined, i.e., the presence in the room of the corresponding staff member could not be determined. The article presents the hardware and software developed together with the obtained reconstruction performances.https://www.mdpi.com/1424-8220/19/10/2287human behavior analysisoperating room displacementsmotion capturesensor network |
| spellingShingle | Christine Azevedo-Coste Roger Pissard-Gibollet Gaelle Toupet Éric Fleury Jean-Christophe Lucet Gabriel Birgand Tracking Clinical Staff Behaviors in an Operating Room Sensors human behavior analysis operating room displacements motion capture sensor network |
| title | Tracking Clinical Staff Behaviors in an Operating Room |
| title_full | Tracking Clinical Staff Behaviors in an Operating Room |
| title_fullStr | Tracking Clinical Staff Behaviors in an Operating Room |
| title_full_unstemmed | Tracking Clinical Staff Behaviors in an Operating Room |
| title_short | Tracking Clinical Staff Behaviors in an Operating Room |
| title_sort | tracking clinical staff behaviors in an operating room |
| topic | human behavior analysis operating room displacements motion capture sensor network |
| url | https://www.mdpi.com/1424-8220/19/10/2287 |
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