| 1. |
- Aeddula, Omsri, 1993-, et al.
(författare)
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A Solution with Bluetooth Low Energy Technology to Support Oral Healthcare Decisions for improving Oral Hygiene
- 2021
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Ingår i: ACM International Conference Proceeding Series. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450389846 ; , s. 134-139
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Konferensbidrag (refereegranskat)abstract
- The advent of powered toothbrushes and associated mobile health applications provides an opportunity to collect and monitor the data, however collecting reliable and standardized data from large populations has been associated with efforts from the participants and researchers. Finding a way to collect data autonomously and without the need for cooperation imparts the potential to build large knowledge banks. A solution with Bluetooth low energy technology is designed to pair a powered toothbrush with a single-core processor to collect raw data in a real-time scenario, eliminating the manual transfer of powered toothbrush data with mobile health applications. Associating powered toothbrush with a single-core processor is believed to provide reliable and comprehensible data of toothbrush use and propensities can be a guide to improve individual exhortation and general plans on oral hygiene quantifies that can prompt improved oral wellbeing. The method makes a case for an expanded chance to plan assistant capacities to protect or improve factors that influence oral wellbeing in individuals with mild cognitive impairment. The proposed framework assists with determining various parameters, which makes it adaptable and conceivable to execute in various oral care contexts
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| 2. |
- Aeddula, Omsri, 1993-, et al.
(författare)
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AI-driven Ossification Assessment in Knee MRI : A Product-Service System Development for Informed Clinical Decision-Making
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Background: Traditionally, assessing the degree of ossification in the epiphyseal plate for growth plate development relies on manual evaluation, which can be inefficient due to the complexities of the distal femoral epiphysis anatomy. Existing methods lack efficient detection techniques.Method: This study proposes an AI-based decision support system, designed within a product-service system (PSS) framework, to automate ossification assessment and detection of the distal femoral epiphysis in knee magnetic resonance imaging (MRI) data. The system leverages advanced machine learning techniques, specifically two Convolutional Neural Networks (CNNs), combined with computer vision techniques. This intelligent system analyzes MRI slices to predict the optimal slice for analysis and identify variations in the degree of ossification within individual datasets.Results: The proposed method's effectiveness is demonstrated using a set of T2-weighted gradient echo grayscale knee MRI data. The system successfully detects the complex anatomy of the distal femoral epiphysis, revealing variations in the degree of ossification ranging from completely closed/open to fully open/closed regions.Conclusions: This study presents a robust and efficient AI-based method, integrated within a PSS framework, for measuring the degree of ossification in the distal femoral epiphysis. This approach automates ossification assessment, providing valuable insights for clinical decision-making by clinicians and forensic practitioners. The PSS framework ensures seamless integration of the AI technology into existing workflows.
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| 3. |
- Aeddula, Omsri, 1993-
(författare)
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Data-Driven Decision Support Systems for Product Development - A Data Exploration Study Using Machine Learning
- 2021
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Modern product development is a complex chain of events and decisions. The ongoing digital transformation of society, increasing demands in innovative solutions puts pressure on organizations to maintain, or increase competitiveness. As a consequence, a major challenge in the product development is the search for information, analysis, and the build of knowledge. This is even more challenging when the design element comprises complex structural hierarchy and limited data generation capabilities. This challenge is even more pronounced in the conceptual stage of product development where information is scarce, vague, and potentially conflicting. The ability to conduct exploration of high-level useful information using a machine learning approach in the conceptual design stage would hence enhance be of importance to support the design decision-makers, where the decisions made at this stage impact the success of overall product development process.The thesis aims to investigate the conceptual stage of product development, proposing methods and tools in order to support the decision-making process by the building of data-driven decision support systems. The study highlights how the data can be utilized and visualized to extract useful information in design exploration studies at the conceptual stage of product development. The ability to build data-driven decision support systems in the early phases facilitates more informed decisions.The thesis presents initial descriptive study findings from the empirical studies, showing the capabilities of the machine learning approaches in extracting useful information, and building data-driven decision support systems. The thesis initially describes how the linear regression model and artificial neural networks extract useful information in design exploration, providing support for the decision-makers to understand the consequences of the design choices through cause-and-effect relationships on a detailed level. Furthermore, the presented approach also provides input to a novel visualization construct intended to enhance comprehensibility within cross-functional design teams. The thesis further studies how the data can be augmented and analyzed to extract the necessary information from an existing design element to support the decision-making process in an oral healthcare context.
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| 4. |
- Aeddula, Omsri, 1993-
(författare)
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Navigating Data Challenges: AI-Driven Decision Support for Product-Service System Development
- 2024
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Solution providers are transitioning from product-centric models to service-oriented solutions. This shift has led to the rise of Product-Service Systems (PSS), which offer a holistic approach by integrating physical products with associated services. However, the inherent complexity and collaborative nature of PSS development present a significant challenge: information gathering, analysis, and knowledge building. This is further amplified in the early stages of PSS development due to data challenges such as uncertainty, ambiguity, and complexity. This complicates informed decision-making, potentially leading to the risk of sub-optimal outcomes and impacting the success of final offerings.This research proposes an AI-powered data analysis approach to address these data challenges and augment the decision-making process of PSS development. The focus is on supporting early-stage decision-making, as decisions made at this stage greatly impact the success of final solutions. The research investigates how data can be utilized and visualized to extract actionable insights, ultimately facilitating informed decision-making.The presented research demonstrates that AI-powered data analysis effectively supports informed decision-making in early-stage PSS development. By extracting actionable insights from complex data, handling data limitations, and enabling informed strategic decisions, knowledge sharing, and collaboration are facilitated among stakeholders. Furthermore, integrating AI with visualization tools fosters knowledge building and a deeper understanding of system behavior, ultimately leading to more successful PSS solutions. The efficacy of AI-powered data analysis for handling diverse data types across application domains is demonstrated, potentially leading to benefits such as a deeper understanding of system behavior and proactive solution strategies. These advancements contribute to developing decision support systems specifically for PSS development.Overall, this research demonstrates the efficacy of AI-powered data analysis in overcoming data challenges and empowering decision-makers in early-stage PSS development. This translates to more informed choices, leading to the creation of successful and efficient PSS solutions.
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| 5. |
- Flyborg, Johan, et al.
(författare)
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Measurement of body temperature in the oral cavity with a temperature sensor integrated with a powered toothbrush
- 2023
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Ingår i: SN Applied Sciences. - : Springer Nature Switzerland AG. - 2523-3963 .- 2523-3971. ; 5:1
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents a method for collecting core body temperature data via a temperature sensor integrated into a powered toothbrush. The purpose is to facilitate the collection of temperature data without any extended effort from the user. Twelve participants use a powered toothbrush with a temperature sensor mounted on the brush head twice daily for two months. The obtained values are compared with those from a conventional fever thermometer approved for intraoral use. The results show that the temperature sensor–integrated powered toothbrush can measure the core body temperature and provide values comparable to those provided by a traditional oral thermometer. The use of the device can facilitate disease monitoring, fertility control, and security solutions for the elderly. © 2022, The Author(s).
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| 6. |
- Flyborg, Johan, et al.
(författare)
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Results of objective brushing data recorded from a powered toothbrush used by elderly individuals with mild cognitive impairment related to values for oral health
- 2024
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Ingår i: Clinical Oral Investigations. - : Springer Nature. - 1432-6981 .- 1436-3771. ; 28:1
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: The study aimed to investigate how the objective use of a powered toothbrush in frequency and duration affects plaque index, bleeding on probing, and periodontal pocket depth ≥ 4 mm in elderly individuals with MCI. A second aim was to compare the objective results with the participants’ self-estimated brush use.Materials and methods: Objective brush usage data was extracted from the participants’ powered toothbrushes and related to the oral health variables plaque index, bleeding on probing, and periodontal pocket depth ≥ 4 mm. Furthermore, the objective usage data was compared with the participants’ self-reported brush usage reported in a questionnaire at baseline and 6- and 12-month examination.Results: Out of a screened sample of 213 individuals, 170 fulfilled the 12-month visit. The principal findings are that despite the objective values registered for frequency and duration being lower than the recommended and less than the instructed, using powered toothbrushes after instruction and information led to improved values for PI, BOP, and PPD ≥ 4 mm in the group of elderly with MIC.Conclusions: Despite lower brush frequency and duration than the generally recommended, using a powered toothbrush improved oral health. The objective brush data recorded from the powered toothbrush correlates poorly with the self-estimated brush use.Clinical relevance: Using objective brush data can become one of the factors in the collaboration to preserve and improve oral health in older people with mild cognitive impairment. Trial registration: ClinicalTrials.gov Identifier: NCT05941611, retrospectively registered 11/07/2023.
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| 7. |
- Flyborg, Johan, et al.
(författare)
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The long-term effect on oral health and quality of life using a powered toothbrush in individuals with mild cognitive impairment. An intervention trial
- 2024
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Ingår i: Special Care in Dentistry. - : John Wiley & Sons. - 0275-1879 .- 1754-4505.
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Tidskriftsartikel (refereegranskat)abstract
- Background: The number of older individuals with mild cognitive impairment and neurocognitive diseases is increasing, which may rapidly deteriorate oral health and Quality of life. Therefore, removing dental biofilm is essential for maintaining good oral health. The present study aimed to investigate whether introducing a powered toothbrush reduces the presence of dental plaque, bleeding on probing, and periodontal pockets ≥4 mm, leading to maintained or improved oral health and improved Quality of life in a group of older individuals with mild cognitive impairment. Methods: Two hundred and thirteen individuals aged 55 or older living without official home care with a Mini–Mental State Examination (MMSE) score between 20 and 28 and a history of memory problems in the previous 6 months were recruited and screened for the study. The individuals received a powered toothbrush and thorough instructions on how to use it. Clinical oral examinations, Quality of life examinations, and MMSE tests were conducted at baseline, 6, 12, and 24 months. The intervention group was compared to control groups at baseline and 24-month examination. It was divided into an MMSE high group with a score of more than 26 and an MMSE low group with a score of 26 and lower or decreasing two steps or more for 12 months. Results: PI, BOP, and PPD≥4 mm improved continuously in both MMSE groups during the 24 months of the study. The values for QoL-AD deteriorated over time, while the oral health-related Quality of life did not show any statistically significant changes. Conclusions: Introducing a powered toothbrush improved PI, BOP, and PPD≥4 mm over 24 months, even among individuals with low or declining MMSE scores. Improved oral health is associated with a preserved OHR-QoL. © 2024 The Author(s). Special Care in Dentistry published by Special Care Dentistry Association and Wiley Periodicals LLC.
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| 8. |
- Flyborg, Johan
(författare)
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The use of the intelligent powered toothbrush in health technology
- 2022
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- BackgroundApplied health technology is a research field that ties together several disciplines to improve and preserve the health and quality of life of individuals and society. Helping especially elderly to meet the above goals is an important and necessary task and assistive technology and collection of health data are part of this work.AimsPaper I aims to investigate whether the use of a powered toothbrush could maintain oral health in a group of individuals with MCI and if changes in oral health affect various aspects of quality of life. Paper II and III aims to examine the capacity of a powered toothbrush as a carrier and mediator of health-related data.MethodsFor papers I and II, the participants were recruited from the Swedish site of the multicenter project Support Monitoring And Reminder Technology for Mild Dementia and for paper III from the Department of Health at Blekinge Institute of Technology. In all three papers, a powered toothbrush has been used as a tool, sensor carrier and transmitter of data. For Quality-of-life assessment two instruments are used, The QoL-AD and OHIP 14.ResultsBy introducing an intelligent powered toothbrush in the group of older individuals with mild cognitive impairment we have showed that they, regardless of cognitive level,improved their scores for plaque index, bleeding index and deepened periodontal pockets ≥ 4mm, over 12 months. The quality-of-life instrument related to oral health improved in parallel with the improvement in oral health. Furthermore, it is possible to use the intelligent powered toothbrush both as a carrier for healt related sensors and to transfer user data via Bluetooth technology to a single-core processor that stores or forwards the data via Wifi to an external computer for processing, analysis and storage. A fesibility study regarding temperature sensor for measuring body temperature during toothbrushing have been evaluated and found to be comparable to traditional oral temperature measurement. ConclusionsAn intelligent powered toothbrush is a well-functioning tool for maintaining oral health in older people with mild cognitive impairment as well as for collecting and transferring brush and health data to external units for storage and analysis.
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| 9. |
- Flyborg, Johan, et al.
(författare)
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Use of a powered toothbrush to improve oral health in individuals with mild cognitive impairment
- 2023
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Ingår i: Gerodontology. - : John Wiley & Sons. - 0734-0664 .- 1741-2358. ; 40:1, s. 74-82
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivesThe aim of the study is to investigate whether the use of a powered toothbrush could maintain oral health by reducing the dental plaque (PI), bleeding on probing (BOP), and periodontal pocket depth (PPD) ≥4 mm in a group of individuals with MCI and also if changes in oral health affect various aspects of quality of life.BackgroundPeople with cognitive impairment tend to have poor oral hygiene and poorer Quality of life. In the present study, the participants were asked to use a powered toothbrush for at least 2 min morning and evening and no restrictions were given against the use of other oral care products. The participant survey conducted at each examination demonstrated that 61.2% of participants at baseline claimed to have experience of using a powered toothbrush, 95.4% at 6 months and 95% after 12 months. At the same time, the use of manual toothbrushes dropped from 73.3% to 44.7% from baseline to the 12-month check-up. This shows that several participants continue to use the manual toothbrush in parallel with the powered toothbrush, but that there is a shift towards increased use of the powered toothbrush. Removal of dental biofilm is essential for maintaining good oral health. We investigated whether using a powered toothbrush reduces the presence of dental plaque, bleeding on probing and periodontal pockets ≥4 mm in a group of older individuals with mild cognitive impairment.Materials and methodsTwo hundred and thirteen individuals with the mean age of 75.3 years living without official home care and with a Mini-Mental State Examination (MMSE) score between 20 and 28 and a history of memory problems in the previous six months were recruited from the Swedish site of a multicenter project, Support Monitoring And Reminder Technology for Mild Dementia (SMART4MD) and screened for the study. The individuals received a powered toothbrush and thorough instructions on how to use it. Clinical oral examinations and MMSE tests were conducted at baseline, 6 and 12 months.ResultsOne hundred seventy participants, 36.5% women and 63.5% men, completed a 12-month follow-up. The use of a powered toothbrush resulted, for the entire group, in a significant decrease in plaque index from 41% at baseline to 31.5% after 12 months (P < .000). Within the same time frame, the values for bleeding on probing changed from 15.1% to 9.9% (P < .000) and the percentage of probing pocket depths ≥4 mm from 11.5% to 8.2% (P < .004). The observed improvements in the Oral Health Impact Profile 14 correlate with the clinical improvements of oral health.ConclusionThe use of a powered toothbrush was associated with a reduction of PI, BOP and PPD over 12 months even among individuals with low or declining MMSE score. An adequately used powered toothbrush maintain factors that affect oral health and oral health-related Quality of Life in people with mild cognitive impairment.
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