scholarly journals Internet of things based vital signs monitoring system: A prototype validity test

Author(s):  
Osman Yakubu ◽  
Emmanuel Wireko

The advent of the internet of things (IoT) has resulted in an upsurge in the deployment of digital health care systems enabling patients’ health conditions to be remotely monitored. This article presents an intelligent and automated IoT-based vital signs monitoring system to aid in patient care. A the oretical framework was established to guide the development of a prototype. It encompasses the patient, IoT sensors, input and storage unit and data processing, analysis and data transmission. The prototype is equipped with the capability of sensing a patient’s body temperature, heart rate, and respiration rate in real time and transmits the data to a cloud data repository for storage and analysis. Alerts are sent to caregivers using SMS, email and voice calls where urgent attention is required for the patient. The voice call isto ensure a caregiver does not miss the alert since SMS and email may not be checked on time. To ensure privacy of patients, a caregiver has to be biometrically verified by either fingerprint or facial pattern. The experimental results confirmed the accuracy of the data gathered by the prototype, privacy of patients is also guaranteed compared to other benchmark systems.

2020 ◽  
Vol 09 (04) ◽  
pp. 106-113
Author(s):  
Ysabeau Bernard-Willis ◽  
Emily De Oliveira ◽  
Shaheen E Lakhan

AbstractChildren with epilepsy often have impairments in cognitive and behavioral functioning which may hinder socio-occupational well-being as they reach adulthood. Adolescents with epilepsy have the added worry of health problems while starting the transition from family-centered pediatric care into largely autonomous adult care. If this transition is not appropriately planned and resourced, it may result in medical mistrust, nonadherence, and worsening biopsychosocial health as an adult. In recent years, there has been increased availability of digital health solutions that may be used during this stark change in care and treating teams. The digital health landscape includes a wide variety of technologies meant to address challenges faced by patients, caregivers, medical professionals, and health care systems. These technologies include mobile health products and wearable devices (e.g., seizure monitors and trackers, smartphone passive data collection), digital therapeutics (e.g., cognitive/behavioral health management; digital speech–language therapy), telehealth services (e.g., teleneurology visits), and health information technology (e.g., electronic medical records with patient portals). Such digital health solutions may empower patients in their journey toward optimal brain health during the vulnerable period of pediatric to adult care transition. Further research is needed to validate and measure their impact on clinical outcomes, health economics, and quality of life.


Author(s):  
Ifeoma V. Ngonadi

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Remote patient monitoring enables the monitoring of patients’ vital signs outside the conventional clinical settings which may increase access to care and decrease healthcare delivery costs. This paper focuses on implementing internet of things in a remote patient medical monitoring system. This was achieved by writing two computer applications in java in which one simulates a mobile phone called the Intelligent Personal Digital Assistant (IPDA) which uses a data structure that includes age, smoking habits and alcohol intake to simulate readings for blood pressure, pulse rate and mean arterial pressure continuously every twenty five which it sends to the server. The second java application protects the patients’ medical records as they travel through the networks by employing a symmetric key encryption algorithm which encrypts the patients’ medical records as they are generated and can only be decrypted in the server only by authorized personnel. The result of this research work is the implementation of internet of things in a remote patient medical monitoring system where patients’ vital signs are generated and transferred to the server continuously without human intervention.


2014 ◽  
Vol 80 (3) ◽  
pp. 218
Author(s):  
N. Lo ◽  
A. Navlekar ◽  
E. Palmgren ◽  
R. Rekhi ◽  
F. Ussher ◽  
...  

Author(s):  
An Vinh Bui-Duc

TÓM TẮT Đặt vấn đề: Đại dịch COVID-19 (coronavirus disease of 2019) do chủng vi rút Corona mới SARS-CoV-2 vẫn đang bùng phát trên toàn thế giới, gây gia tăng gánh nặng lên Hệ thống chăm sóc Y Tế các quốc gia. Chính vì vậy, việc phát triển hệ thống giúp hỗ trợ chẩn đoán và theo dõi bệnh nhân COVID-19 từ xa được xem là vấn đề cấp thiết hiện nay. Trong đó, chỉ số SpO2 có vai trò quan trọng đối với bệnh COVID-19 và được lựa chọn để theo dõi bệnh nhân tại các Cơ sở Y tế cũng như tại nhà. Nghiên cứu này được chúng tôi thực hiện với mục đích đánh giá hiệu quả ban đầu của hệ thống theo dõi SpO2từ xa trên các bệnh nhân COVID-19 mức độ nhẹ - trung bình. Đối tượng, phương pháp: Nghiên cứu cắt ngang, theo dõi dọc ngắn hạn các bệnh nhân COVID-19 mức độ nhẹ - trung bình điều trị tại Trung tâm Hồi sức Tích cực điều trị bệnh nhân COVID-19 trực thuộc Bệnh viện Trung Ương Huế tại TP. Hồ Chí Minh. Kết quả: Trong giai đoạn từ 8/2021 - 10/2021, 32 bệnh nhân COVID-19 được gắn thiết bị theo dõi chỉ số SpO2, trung bình là 34,2 ± 12,0 tuổi. Các yếu tố nguy cơ bao gồm: BMI xếp loại béo phì 25%, hút thuốc lá (18,8%), tăng huyết áp (15,6%) và đái tháo đường (12,5%). Phần lớn bệnh nhân vào viện do khó thở (71,9%) và chuyển từ tuyến dưới (62,5%). Triệu chứng lâm sàng chủ yếu là ho, hắt hơi, chảy mũi nước (40,6%), theo sau đó là giảm hoặc mất khứu giác, vị giác (25%). 81,3% có D-Dimer ≤ 500ng/mL. 62,5% bệnh nhân được phân độ COVID-19 mức trung bình. Tổng cộng 3.161 lượt đo SpO2, trong đó có 8 lượt cảnh báo SpO2 < 93%. SpO2 trung bình 98,1 ± 0,2 %. Tất cả bệnh nhân xuất viện thành công. Kết luận: Hệ thống theo dõi SpO2 từ xa bước đầu có hiệu quả giúp theo dõi các bệnh nhân COVID-19 mức độ nhẹ - trung bình. ABSTRACT INITIAL EFFECTIVENESS EVALUATION OF THE REMOTE SPO2 MONITORING SYSTEM IN PATIENTS WITH MILD - TO - MODERATE COVID-19 DISEASE Background: The COVID-19 pandemic affected by the new Coronavirus SARS-CoV-2 continues to spread globally, increasing the burden on countries’ Health Care systems. Therefore, generating a platform to help diagnose and monitor COVID-19 patients remotely is considered an essential issue today. In particular, the SpO2 index plays a vital role in COVID-19 disease and is selected to monitor patients at health facilities and homes. This study aimed to evaluate the initial effectiveness of the remote SpO2 monitoring system in patients with mild - to - moderate COVID-19 diseases. Methods: This cross - section study was conducted on mild - to - moderate COVID-19 patients treated at the COVID-19 Intensive Care Center operated by Hue Central Hospital in Ho Chi Minh City, Vietnam Results: From August 2021 to October 2021, 32 COVID-19 patients were applied with SpO2 monitoring smartwatches. The mean age was 34.2 ± 12.0. Risk factors including obesity (25%), smoking (18.8%), hypertension (15.6%), and diabetes (12.5%). Most patients were admitted to the center due to shortness of breath (71.9%) and transferred from lower - level hospitals (62.5%). The main clinical symptoms are coughing, sneezing, runny nose (40.6%), followed by a decrease or loss of smell and taste (25%). 81.3% of patients had D-Dimer ≤ 500 ng/mL. 62.5% of patients had moderate COVID-19 grades. A total of 3,161 SpO2 measurements, including 8 alarms < 93%. The average SpO2 was 98.1 ± 0.2 %. All patients were discharged successfully. Conclusion: A remote SpO2 monitoring system is considered to have preliminary effectiveness in monitoring mild - to - moderate COVID-19 patients. Keywords: COVID-19, blood oxygen saturation, smartwatch, health monitoring system.


2021 ◽  
Author(s):  
Godwin Denk Giebel ◽  
Christian Speckemeier ◽  
Carina Abels ◽  
Kirstin Börchers ◽  
Jürgen Wasem ◽  
...  

BACKGROUND Usage of digital health applications (DHA) is increasing internationally. More and more regulatory bodies develop regulations and guidelines to enable an evidence-based and safe use. In Germany, DHA fulfilling predefined criteria (Digitale Gesundheitsanwendungen (="DiGA")) can be prescribed and are reimbursable by the German statutory health insurance scheme. Due to the increasing distribution of DHA problems and barriers should receive special attention. OBJECTIVE This study aims to identify relevant problems and barriers related to the use of DHA fulfilling the criteria of DiGA. The research done in this area will be mapped and research findings will be summarized. METHODS Conduct of the scoping review will follow published methodological frameworks and PRISMA-Scr criteria. Electronic databases (MEDLINE, EMBASE, and PsycINFO), reference lists of relevant articles and grey literature sources will be searched. Two reviewers will assess eligibility of articles by a two-stage (title/abstract and full-text) screening process. Only problems and barriers related to DHA fulfilling the criteria of DiGA are included for this research. RESULTS This scoping review serves to give an overview about the available evidence and to identify research gaps with regards to problems and barriers related to DiGA. Results are planned to be submitted to an indexed, peer-reviewed journal in the fourth quarter of 2021. CONCLUSIONS This is the first review identifying problems and barriers specifically to the use of the German definition of DiGA. Nevertheless, our findings can presumably be applied to other contexts and health care systems as well.


BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e031150 ◽  
Author(s):  
Candice Downey ◽  
Shu Ng ◽  
David Jayne ◽  
David Wong

ObjectiveTo validate whether a wearable remote vital signs monitor could accurately measure heart rate (HR), respiratory rate (RR) and temperature in a postsurgical patient population at high risk of complications.DesignManually recorded vital signs data were paired with vital signs data derived from the remote monitor set in patients participating in the Trial of Remote versus Continuous INtermittent monitoring (TRaCINg) study: a trial of continuous remote vital signs monitoring.SettingSt James’s University Hospital, UK.Participants51 patients who had undergone major elective general surgery.InterventionsThe intervention was the SensiumVitals monitoring system. This is a wireless patch worn on the patient’s chest that measures HR, RR and temperature continuously. The reference standard was nurse-measured manually recorded vital signs.Primary and secondary outcome measuresThe primary outcomes were the 95% limits of agreement between manually recorded and wearable patch vital sign recordings of HR, RR and temperature. The secondary outcomes were the percentage completeness of vital sign patch data for each vital sign.Results1135 nurse observations were available for analysis. There was no clinically meaningful bias in HR (1.85 bpm), but precision was poor (95% limits of agreement −23.92 to 20.22 bpm). Agreement was poor for RR (bias 2.93 breaths per minute, 95% limits of agreement −8.19 to 14.05 breaths per minute) and temperature (bias 0.82°C, 95% limits of agreement −1.13°C to 2.78°C). Vital sign patch data completeness was 72.8% for temperature, 59.2% for HR and 34.1% for RR. Distributions of RR in manually recorded measurements were clinically implausible.ConclusionsThe continuous monitoring system did not reliably provide HR consistent with nurse measurements. The accuracy of RR and temperature was outside of acceptable limits. Limitations of the system could potentially be overcome through better signal processing. While acknowledging the time pressures placed on nursing staff, inaccuracies in the manually recorded data present an opportunity to increase awareness about the importance of manual observations, particularly with regard to methods of manual HR and RR measurements.


2020 ◽  
pp. 579-592
Author(s):  
Durga Prasad ◽  
Niranjan N. Chiplunkar ◽  
K. Prabhakar Nayak

Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of the network is Ubiquitous health monitoring system. The technology has brought Internet of Things into this system making it to get connected to the cloud based internet. This has made the retrieval of information to the expert and thus improving the happiness of elderly people and patients suffering from chronic diseases. This paper focuses on creating an android based application for monitoring patients in hospital environment. The necessity of sharing hospital data to the experts around the globe has brought the necessity of trust in Health care systems. The data sharing in the IOT environment is secured. The environment is tested in real-time cloud environment. The proposed android application serves to be better architecture for hospital monitoring.


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