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Peng Z, Kommers D, Liang RH, Long X, Cottaar W, Niemarkt H, Andriessen P, van Pul C. Continuous sensing and quantification of body motion in infants: A systematic review. Heliyon 2023; 9:e18234. [PMID: 37501976 PMCID: PMC10368857 DOI: 10.1016/j.heliyon.2023.e18234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 06/26/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
Abnormal body motion in infants may be associated with neurodevelopmental delay or critical illness. In contrast to continuous patient monitoring of the basic vitals, the body motion of infants is only determined by discrete periodic clinical observations of caregivers, leaving the infants unattended for observation for a longer time. One step to fill this gap is to introduce and compare different sensing technologies that are suitable for continuous infant body motion quantification. Therefore, we conducted this systematic review for infant body motion quantification based on the PRISMA method (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). In this systematic review, we introduce and compare several sensing technologies with motion quantification in different clinical applications. We discuss the pros and cons of each sensing technology for motion quantification. Additionally, we highlight the clinical value and prospects of infant motion monitoring. Finally, we provide suggestions with specific needs in clinical practice, which can be referred by clinical users for their implementation. Our findings suggest that motion quantification can improve the performance of vital sign monitoring, and can provide clinical value to the diagnosis of complications in infants.
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Affiliation(s)
- Zheng Peng
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Clinical Physics, Máxima Medical Centre, Veldhoven, the Netherlands
| | - Deedee Kommers
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Neonatology, Máxima Medical Centre, Veldhoven, the Netherlands
| | - Rong-Hao Liang
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Industrial Design, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Xi Long
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
- Philips Research, Eindhoven, the Netherlands
| | - Ward Cottaar
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Hendrik Niemarkt
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Neonatology, Máxima Medical Centre, Veldhoven, the Netherlands
| | - Peter Andriessen
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Neonatology, Máxima Medical Centre, Veldhoven, the Netherlands
| | - Carola van Pul
- Department of Applied Physics, Eindhoven University of Technology, Eindhoven, the Netherlands
- Department of Clinical Physics, Máxima Medical Centre, Veldhoven, the Netherlands
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Muacevic A, Adler JR. Encoding the Photoreceptors of the Human Eye. Cureus 2022; 14:e30125. [PMID: 36381896 PMCID: PMC9644661 DOI: 10.7759/cureus.30125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 10/10/2022] [Indexed: 01/25/2023] Open
Abstract
This review aims to assess the anatomy of the human eye with a focus on exploring opportunities to mimic certain functionalities of photoreceptors in the optical system. This can help restore vision issues in people who had normal vision earlier, but their vision was impaired due to reasons that damaged parts of the eye; however, the functionality of the optic nerve remained intact. It is a conceptual article where the methodology to simulate artificial photoreceptors is discussed.
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Cheng X, Zhu H, Mei L, Luo F, Chen X, Zhao Y, Chen S, Pan Y. Artificial Intelligence Based Pain Assessment Technology in Clinical Application of Real-World Neonatal Blood Sampling. Diagnostics (Basel) 2022; 12:diagnostics12081831. [PMID: 36010186 PMCID: PMC9406884 DOI: 10.3390/diagnostics12081831] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/12/2022] [Accepted: 07/26/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Accurate neonatal pain assessment (NPA) is the key to neonatal pain management, yet it is a challenging task for medical staff. This study aimed to analyze the clinical practicability of the artificial intelligence based NPA (AI-NPA) tool for real-world blood sampling. Method: We performed a prospective study to analyze the consistency of the NPA results given by a self-developed automated NPA system and nurses’ on-site NPAs (OS-NPAs) for 232 newborns during blood sampling in neonatal wards, where the neonatal infant pain scale (NIPS) was used for evaluation. Spearman correlation analysis and the degree of agreement of the pain score and pain grade derived by the NIPS were applied for statistical analysis. Results: Taking the OS-NPA results as the gold standard, the accuracies of the NIPS pain score and pain grade given by the automated NPA system were 88.79% and 95.25%, with kappa values of 0.92 and 0.90 (p < 0.001), respectively. Conclusion: The results of the automated NPA system for real-world neonatal blood sampling are highly consistent with the results of the OS-NPA. Considering the great advantages of automated NPA systems in repeatability, efficiency, and cost, it is worth popularizing the AI technique in NPA for precise and efficient neonatal pain management.
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Affiliation(s)
- Xiaoying Cheng
- Quality Improvement Office, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China;
| | - Huaiyu Zhu
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (H.Z.); (Y.Z.)
| | - Linli Mei
- Administration Department of Nosocomial Infection, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China;
| | - Feixiang Luo
- Neonatal Intensive Care Unit, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China;
| | - Xiaofei Chen
- Gastroenterology Department, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China;
| | - Yisheng Zhao
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (H.Z.); (Y.Z.)
| | - Shuohui Chen
- Administration Department of Nosocomial Infection, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China;
- Correspondence: (S.C.); (Y.P.)
| | - Yun Pan
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (H.Z.); (Y.Z.)
- Correspondence: (S.C.); (Y.P.)
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