Stroke Patient Communication Tool with Touch Sensor and Phrase Time Step
DOI:
https://doi.org/10.59247/jfsc.v2i1.164Keywords:
Stroke Patient, TTP 223 Touch Sensor, Boolean LogicAbstract
The purpose of this prototype is to enhance communication between stroke patients and their caregivers, as difficulty in understanding the nuanced wishes of stroke patients often leads to a reduced quality of life for the patients and increased caregiver depression. This study aimed to address these challenges by providing a more effective means of interpreting the desires of stroke patients during their interactions with their caregivers. The prototype utilizes a dual-input system to capture the intricate communication dynamics. The first input involves recording the finger movements of the patient through touch interaction with the TTP223 touch sensor area. In contrast, the second input comprises a time-step phrase that serves as a complementary mechanism for selecting communication phrases. The combination of these inputs is processed using Boolean logic, specifically employing basic AND logic, in which both inputs must register as high to yield a correspondingly high output. The ESP32 microcontroller processes the output signal, and the resulting information is displayed on both an LCD screen and a dedicated Telegram application. The prototype achieved a notable accomplishment of 100% accuracy in reading inputs.
References
N. N, P. R. J, and S. N. MpAnalysis and Classification of Occurrence of Brain Stroke Types using Machine Learning Approaches,” 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), pp. 1–5, 2022, https://doi.org/10.1109/MysuruCon55714.2022.9972403.
M. F. Hosen, M. A. Basar, B. K. Paul, M. R. Hasan and M. S. Uddin, “A bioinformatics approach to identify candidate biomarkers and common pathways between bipolar disorder and stroke,” 2022 12th International Conference on Electrical and Computer Engineering (ICECE), pp. 429-432, 2022, https://doi.org/10.1109/ICECE57408.2022.10088854.
E. T. Wolbrecht, J. Leavitt, D. J. Reinkensmeyer and J. E. Bobrow, “Control of a Pneumatic Orthosis for Upper Extremity Stroke Rehabilitation,” 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2687-2693, 2006, https://doi.org/10.1109/IEMBS.2006.259941.
Q. Bao, H. Liao, L. Fan, H. Xiao and J. Zhu, “Effects of emotional nursing care cooperated with acupuncture points massage for post-stroke patients with insomnia,” 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, pp. 383-385, 2012, https://doi.org/10.1109/BIBMW.2012.6470342.
Z. Yuan et al., “Effect of BCI-Controlled Pedaling Training System With Multiple Modalities of Feedback on Motor and Cognitive Function Rehabilitation of Early Subacute Stroke Patients,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 2569-2577, 2021, https://doi.org/10.1109/TNSRE.2021.3132944.
M. Faiz, S. A. Naseem, M. Murad and R. khalid, “Cost effective monitoring system for the early detection of ischemic stroke in smoker,” 2019 International Conference on Information Science and Communication Technology (ICISCT), pp. 1-5, 2019, https://doi.org/10.1109/CISCT.2019.8777440.
C. M. Hughes et al., “Development of a mHealth System for Post-Stroke Upper Limb Rehabilitation in Medically Underserved Populations: An Iterative Usability Study,” 2018 IEEE Global Humanitarian Technology Conference (GHTC), pp. 1-8, 2018, https://doi.org/10.1109/GHTC.2018.8601786.
L. Zeng, C. Meng, Z. Liang, X. Huang and Z. Li, “Stroke unit of integrative medicine for post stroke comorbid anxiety and depression: A systematic review and meta-analysis of 25 randomized controlled trials,” 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 207-212, 2014, https://doi.org/10.1109/BIBM.2014.6999360.
F. Daria, P. Elena, P. Galina, M. Olga, T. Alina and B. Vladislav, “The influence of lesion volume, cortex thickness and lesion localization on chronic post-stroke aphasia severity,” 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 541-549, 2019, https://doi.org/10.1109/SSCI44817.2019.9002800.
Y. Song, C. Zhang, Y. Ma, Z. Gan, X. Miao and X. Wang, “Efficient Implementation of Complete Reconfigurable Boolean Logic Primitives Based on Memristors,” 2023 6th International Conference on Electronics Technology (ICET), pp. 333-337, 2023, https://doi.org/10.1109/ICET58434.2023.10211391.
L. T. Schoenbaum and W. K. Al-Assadi, “Binary/Ternary Logic Applications for Systems Programming and Reversible Computing,” 2019 SoutheastCon, pp. 1-5, 2019, https://doi.org/10.1109/SoutheastCon42311.2019.9020479.
P. S. Budyakov, N. I. Chernov, V. Y. Yugai and N. N. Prokopenko, “Logic functions representation and synthesis of k-valued digital circuits in linear algebra,” 2016 24th Telecommunications Forum (TELFOR), pp. 1-4, 2016, https://doi.org/10.1109/TELFOR.2016.7818892.
M. Tebbikhorram, H. Pourshabanian and M. B. Khodabakhshi, “Design and Implementation of a Reaction Timer Device Based on Visual Stimulation and Motor Reaction,” 2021 28th National and 6th International Iranian Conference on Biomedical Engineering (ICBME), pp. 329-334, 2021, https://doi.org/10.1109/ICBME54433.2021.9750386.
F. Jabeen, L. Tao, T. Lin and S. Mei, “Modeling Chinese Input Interaction for Patients with Cloud Based Learning,” 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), pp. 1075-1082, 2019, https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00206.
M. F. A. Muin and N. F. Za'bah, “Smart Steering Auto Alert System,” 2018 7th International Conference on Computer and Communication Engineering (ICCCE), pp. 449-452, 2018, https://doi.org/10.1109/ICCCE.2018.8539283.
M. Babiuch, P. Foltýnek and P. Smutný, “Using the ESP32 Microcontroller for Data Processing,” 2019 20th International Carpathian Control Conference (ICCC), pp. 1-6, 2019, https://doi.org/10.1109/CarpathianCC.2019.8765944.
A. Maier, A. Sharp and Y. Vagapov, “Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things,” 2017 Internet Technologies and Applications (ITA), pp. 143-148, 2017, https://doi.org/10.1109/ITECHA.2017.8101926.
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