Designing a Wearable Malnutrition Monitoring and detecting device for children.pptx

A project proposal for an Introduction to Biomedical Engineering Class

1. DESIGNING A WEARABLE MALNUTRITION MONITORING AND DETECTING DEVICE FOR CHILDREN GROUP 9 BERYL AGGREY-MENSAH - 11198282  (GROUP LEADER) ESSEL-BINEY NANA BENYIN E.N - 11326879 ACQUAH  JAMES - 11348871 JOSEPH BAMPOE - 11068675 NANA KOBINA AHINSAH ABBAN - 11140124

2. PROJECT BACKGROUND: Pediatric malnutrition is defined as “an imbalance between nutrient requirement and intake, resulting in cumulative deficits of energy, protein, or micronutrients that may negatively affect growth and development.” ( Dipasquale et al., 2020 ) Early identification of patients at risk of malnutrition is crucial to start a timely and adequate nutritional support ( Reber et al., 2019)  . Not one single screening or assessment tool is capable of adequate nutrition screening as well as predicting poor nutrition related outcome   (Van  Bokhorst -de van der Schueren et al., 2014).

3. PROJECT BACKGROUND: Wearable devices  available  primarily focus on tracking physical activity, heart rate, sleep patterns, and other similar metrics. They are not typically designed specifically to monitor  malnutrition ( Taejoon  et al., 2019) There are also techniques used to potentially detect malnutrition ( Eg. BMI, mid-upper arm diameter ,biochemical tests ,etc.) 

4. PROJECT BACKGROUND: Existing Devices: General Wearables:   Apple Watch Fitbit Garmin  These focus on fitness and general health monitoring but do not specifically address malnutrition . Child-Specific Wearables:   Owlet Smart Sock  Sense-U Baby Monitor  These track vital signs but are not designed for nutritional monitoring ( Luo et al., 2024).

5. PROJECT BACKGROUND:

6. PROJECT GAP: There is a lack of affordable and accessible tools that can continuously monitor key indicators of nutritional status in children.

7. PROJECT NEED: There is a need for a dedicated device tailored to providing real-time data on a child’s nutritional status, for earlier detection and treatment of malnutrition

8. PROJECT STRATEGY: Develop a wearable device capable of monitoring key indicators of malnutrition, such as weight, body composition, and nutritional intake, in real-time. The device will be user-friendly, non-invasive, and capable of providing real-time feedback on nutritional status.

9. PROJECT AIM: This project aims to design a wearable device capable of detecting indicators of malnutrition through anthropometric measurements and other relevant parameters.

10. OBJECTIVES :

11. METHODOLOGY:

12. EXPECTED RESULTS: A functional prototype of a wearable malnutrition monitoring and detecting device A detailed documentation of the design process, testing procedures and results Recommendations for further improvement

13. TIMELINE:

14. IMPACT OF THE PROJECT: The proposed wearable device has the potential to revolutionize malnutrition monitoring in Ghana, empowering healthcare providers with a cost-effective tool for early detection and timely intervention to improve child health outcomes.

15. BUDGET: REQUIREMENT   AMOUNT   ( GHc )   JUSTIFICATION   Computers  -  All group members have laptops  Internet bundle   70  No wi-fi at venues for group meetings. Hence, we purchased data for all online research  Documentation   30  Printing, photocopies of report presentation  Software  100  Computational softwares are free but certain features and add-ons require purchasing  Database Drive  -  Google drive is free and accessible  TOTAL  200  

16. BROADER IMPACT: Reduced rates of malnutrition-related illnesses and improved overall well-being in communities. Contribute to advancements in biomedical engineering and wearable technology . Increased investment in nutrition programs and strengthened healthcare systems.

17. CONCLUSION: In conclusion, this project aims to provide a valuable tool for improving child health outcomes through the integration of advanced technology, addressing a critical need in global healthcare.

18. REFERENCES: Dairo, M. D., Fatokun , M. E., & Kuti, M. (2012). Reliability of the mid upper arm circumference for the assessment of wasting among children aged 12-59 months in urban Ibadan, Nigeria. International Journal of Biomedical Science, 8(2). https://doi.org/10.59566/ijbs.2012.8140 JME-2023-Levels-and-trends-in-child-malnutrition. (2023).  Reber, E., Gomes, F., Vasiloglou , M. F., Schuetz, P., & Stanga, Z. (2019). Nutritional risk screening and assessment. In Journal of Clinical Medicine (Vol. 8, Issue 7). MDPI.  https://doi.org/10.3390/jcm8071065

19. REFERENCES: Serón -Arbeloa, C., Labarta-Monzón, L., Puzo- Foncillas , J.,  Mallor -Bonet, T.,  Lafita -López, A., Bueno-Vidales, N., & Montoro-Huguet, M. (2022). Malnutrition Screening and Assessment. Nutrients, 14(12).  https://doi.org/10.3390/nu14122392     Van  Bokhorst -de van der Schueren, M. A. E.,  Guaitoli , P. R., Jansma, E. P., & de Vet, H. C. W. (2014). Nutrition screening tools: Does one size fit all? A systematic review of screening tools for the hospital setting. Clinical Nutrition, 33(1).  https://doi.org/10.1016/j.clnu.2013.04.008 Kuwornu , J. P. (2020). Measuring the Overall Burden of Early Childhood malnutrition in Ghana.  International Journal of Health Policy Management , 1-2.

20. REFERENCES : Valeria Dipasquale, U. C. (2020). Acute Malnutrition in Children: Pathophysiology,and treatment. 9. WHO. Guideline: Updates on the Management of Severe Acute Malnutrition in Infants and Children; WHO: Geneva, Switzerland, 2013. Myatt, M.; Khara, T.; Collins, S. A review of methods to detect cases of severely malnourished children in the community for their admission into community-based therapeutic care programs. Food. Nutr . Bull. 2006, 27, S7–S23. [ CrossRef ]

21. REFERENCES: Hien, N. N. (2008). Nutritional Status and the Characteristics Related to malnutrition in children under 5. 3-4   Luo, X., Tan, H., & Wen, W. (2024). Recent Advances in Wearable Healthcare Devices: From Material to Application. In Bioengineering (Vol. 11, Issue 4). Multidisciplinary Digital Publishing Institute (MDPI).  https://doi.org/10.3390/bioengineering11040358​