Design and Implementation of Regulated Oxygenation Based Ventilation System with Feedback Mechanism

A multifunctional medical device for the aid of COVID affected patients are scarce. This paper proposes an automated medical device which is incorporated with a feedback mechanism and a GSM base emergency alarm system. The combined sensors in the prototype can acquire readings of a patient's temperature, heart rate, oxygen saturation (SpO2), respiratory rate (RR), and heart condition noninvasively and can send these vitals easily via SMS in real time. Based on the patient's SpO2 level and RR, the system can control the oxygen flow through a nasal canola with the aid of a servo motor mechanism. The system derives information from the sensors to operate automatically based on the degrading vitals of a patient. Due to its nature of user friendliness the protype can be operated without much prior medical knowledge. © 2023 IEEE.

Supporting ultra-poor children with cerebral palsy and their families with integrated microfinance/livelihood and community-based rehabilitation program -a cluster randomized controlled trial

Introduction: This trial aimed to test the efficacy of an integrated microfinance/livelihood and community-based rehabilitation (CBR) (IMCBR) program in improving health-related quality of life (HRQoL) and motor function of children with cerebral palsy (CP) from ultra-poor families and social capital gain to those families from such intervention in rural Bangladesh. Patients and Methods: This was an open-label cluster randomized controlled trial among children with CP aged ≤5 years randomly allocated in three arms;Arm-A: livelihood support and CBR (IMCBR), Arm-B: CBR only and Arm-C: care-as- usual. The CBR was stopped 2.5 months post-enrollment due to the COVID-19 pandemic and was replaced with phone follow-up followed by home-based CBR. The primary outcome was HRQoL of children while Gross Motor Function Classification System (GMFCS) level of children and social capital of their families were the secondary outcomes. Intention-to- treat analysis was performed. Results: Twenty-four clusters including 251 children-primary caregivers' dyads were assigned to three arms;Arm-A = 80, Arm-B = 82 and Arm-C = 89. Between baseline and endline, the percentage change in mean HRQoL was highest in Arm-A (30.0%) with significant mean differences between Arm-A and Arm-B (p = 0.015). The GMFCS level significantly changed both in Arm-A (p = 0.007) and Arm-C (p = 0.011). Also, the improvement in mean total social capital score was significantly higher in Arm-A compared to Arm-B (p <0.001) and Arm-C (p <0.001). Conclusion: The findings suggest that IMCBR could improve HRQoL and motor functions of children with CP and social capital of their ultra-poor families. Long-term follow- up of the trial participants and/or future exploration of such interventions are essential.

Design of a cost-effective customized Electronic Health Record system tohandle patient management during Covid-19 pandemic

Healthcare is one of the basic needs for human beings. Unfortunately, a densely populated country like Bangladesh has always struggled to provide adequate healthcare to all of its people, especially to the rural population. To handle with huge amount of data and coordination between the doctors and patients, electronic health record system (EHR) has become a necessity. During this Covid-19 pandemic, face to face consultation between frontline workers like doctors, and nurse and patients has become difficult. As a result, many patients are having difficulty in getting treatment from doctors. In Bangladesh's perspective at this moment, a cost effective, energy efficient and portable device system is needed to build up a customized Electronic health record system. The proposed system can reduce medical errors about patient identification and treatment, increase effectiveness and timeliness of doctors and overall improve the health care of people of the rural area Therefore, an easy to use, affordable, user-friendly and customized EHR system design is proposed in this paper by utilizing recent wireless communication techniques that can give the rural people better health service during lockdown / isolated condition as imposed due to pandemic scenario. © 2021 AIUB Office of Research and Publication. All rights reserved.

Support vector machine based stress detection system to manage COVID-19 pandemic related stress from ECG signal

This study represents a detailed investigation of induced stress detection in humans using Support Vector Machine algorithms. Proper detection of stress can prevent many psychological and physiological problems like the occurrence of major depression disorder (MDD), stress-induced cardiac rhythm abnormalities, or arrhythmia. Stress induced due to COVID -19 pandemic can make the situation worse for the cardiac patients and cause different abnormalities in the normal people due to lockdown condition. Therefore, an ECG based technique is proposed in this paper where the ECG can be recorded for the available handheld/portable devices which are now common to many countries where people can take ECG by their own in their houses and get preliminary information about their cardiac health. From ECG, we can derive RR interval, QT interval, and EDR (ECG derived Respiration) for developing the model for stress detection also. To validate the proposed model, an open-access database named "drivedb” available at Physionet (physionet.org) was used as the training dataset. After verifying several SVM models by changing the ECG length, features, and SVM Kernel type, the results showed an acceptable level of accuracy for Fine Gaussian SVM (i.e. 98.3% for 1 min ECG and 93.6 % for 5 min long ECG) with Gaussian Kernel while using all available features (RR, QT, and EDR). This finding emphasizes the importance of including ventricular polarization and respiratory information in stress detection and the possibility of stress detection from short length data (i.e. from 1 min ECG data), which will be very useful to detect stress through portable ECG devices in locked down condition to analyze mental health condition without visiting the specialist doctor at hospital. This technique also alarms the cardiac patients from being stressed too much which might cause severe arrhythmogenesis. © 2021 AIUB Office of Research and Publication. All rights reserved.