Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16806, first published .
Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations

Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations

Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations

Journals

  1. Renò V, Sciancalepore M, Dimauro G, Maglietta R, Cassano M, Gelardi M. A Novel Approach for the Automatic Estimation of the Ciliated Cell Beating Frequency. Electronics 2020;9(6):1002 View
  2. Dimauro G, Deperte F, Maglietta R, Bove M, La Gioia F, Renò V, Simone L, Gelardi M. A Novel Approach for Biofilm Detection Based on a Convolutional Neural Network. Electronics 2020;9(6):881 View
  3. Girardi F, De Gennaro G, Colizzi L, Convertini N. Improving the Healthcare Effectiveness: The Possible Role of EHR, IoMT and Blockchain. Electronics 2020;9(6):884 View
  4. Dimauro G, Bevilacqua V, Fina P, Buongiorno D, Brunetti A, Latrofa S, Cassano M, Gelardi M. Comparative Analysis of Rhino-Cytological Specimens with Image Analysis and Deep Learning Techniques. Electronics 2020;9(6):952 View
  5. Aziz M, Hasan M, Mahmood A, Love R, Ahamed S. Automated Cardiac Pulse Cycle Analysis From Photoplethysmogram (PPG) Signals Generated From Fingertip Videos Captured Using a Smartphone to Measure Blood Hemoglobin Levels. IEEE Journal of Biomedical and Health Informatics 2021;25(5):1385 View
  6. Dimauro G, Bevilacqua V, Pecchia L. Bioelectronic Technologies and Artificial Intelligence for Medical Diagnosis and Healthcare. Electronics 2021;10(11):1242 View
  7. Kesarwani A, Das S, Dalui M, Kisku D, Sen B, Roy S, Basu A. Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach. Biomedical Signal Processing and Control 2023;79:104045 View
  8. Hasan M, Saxena D, Rubaiat Y, Ahamed S, Guha S. Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users. International Journal of Human–Computer Interaction 2024;40(4):965 View
  9. Bautista M, Kowal M, Cave D, Downey C, Jayne D. Clinical applications of contactless photoplethysmography for monitoring in adults: A systematic review and meta-analysis. Journal of Clinical and Translational Science 2023;7(1) View
  10. Gullifa G, Barone L, Papa E, Giuffrida A, Materazzi S, Risoluti R. Portable NIR spectroscopy: the route to green analytical chemistry. Frontiers in Chemistry 2023;11 View
  11. Xuan Y, Barry C, Antipa N, Wang E. A calibration method for smartphone camera photophlethysmography. Frontiers in Digital Health 2023;5 View
  12. Raposo-Neto J, Kowalski-Neto E, Luiz W, Fonseca E, Cedro A, Singh M, Martin F, Vassallo P, Campos L, Barauna V. Near-Infrared Spectroscopy with Supervised Machine Learning as a Screening Tool for Neutropenia. Journal of Personalized Medicine 2023;14(1):9 View
  13. Kesarwani A, Das S, Kisku D, Dalui M. Non-invasive anaemia detection based on palm pallor video using tree-structured 3D CNN and vision transformer models. Journal of Experimental & Theoretical Artificial Intelligence 2024:1 View
  14. Peng F, Zhang N, Chen C, Wu F, Wang W. Ensemble Extreme Learning Machine Method for Hemoglobin Estimation Based on PhotoPlethysmoGraphic Signals. Sensors 2024;24(6):1736 View
  15. Amrutha A, Sidenur B, P.S B, S.V S, M.R N, Rajagopal H. Estimation of haemoglobin using non-invasive portable device with spectroscopic signal application. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Saha S, Bhattacharya R. Internet of Things Based Smart Healthcare. View