A Wearable Smart Device to Monitor Multiple Vital Parameters—VITAL ECG

Smart devices are more and more present in every aspect of everyday life. From smartphones, which are now like mini-computers, through systems for monitoring sleep or fatigue, to specific sensors for the recording of vital parameters. A particular class of the latter regards health monitoring. Indeed, through the use of such devices, several vital parameters can be acquired and automatically monitored, even remotely. This paper presents the second generation of VITAL-ECG, a smart device designed to monitor the most important vital parameters as a “one touch” device, anywhere, at low cost. It is a wearable device that coupled with a mobile app can track bio-parameters such as: electrocardiogram, SpO2, skin temperature, and physical activity of the patient. Even if it not yet a medical device, a comprehensive comparison with a golden standard electrocardiograph is presented to demonstrate the quality of the recorded signals and the validity of the proposed approach.

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IOT Based Health Monitoring System

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37363 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1176-1178

Author(s):

Sowmya G

Keyword(s):

Monitoring System ◽

Health Monitoring ◽

Social Insurance ◽

Vital Signs ◽

Smart Phone ◽

Smart Devices ◽

The Internet ◽

Health State ◽

Health Monitoring System ◽

Vital Parameters

Abstract: The increased use of smart phones and smart devices in the health zone has brought on extraordinary effect on the world’s critical care. The Internet of things is progressively permitting to coordinate sensors fit for associating with the Internet and give data on the health condition of patients. These technologies create an amazing change in medicinal services during pandemics. Likewise, many users are beneficiaries of the M-Health (Mobile Health) applications and E-Health (social insurance upheld by ICT) to enhance, help and assist continuously to specialists who help. The main aim of this ‘IOT Health Monitoring System’ is to build up a system fit for observing vital body signs such as body temperature, heart rate, pulse oximetry etc. The System is additionally equipped measuring Room Temperature and Humidity and Atmosphere CO level. To accomplish this, the system involves many sensors to display vital signs that can be interfaced to the doctor’s smart phone as well as caretakers’ smartphone. This prototype will upload the readings from the sensor to a server remotely and the information gathered will be accessible for analysis progressively. It has the capacity of reading and transmitting vital parameters measured to the cloud server and then to any Smartphone configured with Blynk App. These readings can be utilized to recognize the health state of the patient and necessary actions can be taken if the vital parameters are not in prescribed limits for a longer period. Keywords: IOT Health Monitoring System, Vital parameters, Blynk App

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Next Generation Wearable Devices

International Journal of Interdisciplinary Telecommunications and Networking ◽

10.4018/ijitn.2014040102 ◽

2014 ◽

Vol 6 (2) ◽

pp. 25-51 ◽

Cited By ~ 1

Author(s):

Niraj Shakhakarmi

Keyword(s):

Health Monitoring ◽

Service Management ◽

Wearable Sensors ◽

Wearable Devices ◽

Smart Devices ◽

Smart Device ◽

Monitoring Device ◽

Next Generation ◽

Spectrum Utilization ◽

Smart Health

The next generation wearable devices are Smart health monitoring device and Smart sousveillance hat which are capable of using wearable sensors for measuring physiological information, sousveillanace, navigation, as well as smart device to smart device communications over cellular coverage. Smart health monitoring device collect and observe different health related information deploying biosensors and can predict health problems. Smart sousveillance hat provides the brainwaves based fatigue state, training and sousveillance around the wearer. The next generation wearable smart devices deploy the device to device communications in LTE assisted networks with D2D server, D2D Application server and D2D enhanced LTE signalling for D2D service management, spectrum utilization and broad cellular coverage, which make them portable, social, commercial and sustainable. Thus, the wearable device technology will merge with the smart communications besides the health and wellness. Furthermore, the simulation and performance evaluation shows that LTE-D2D wearable smart device communications provides two times more energy efficiency than LTE-UEs cellular communications. The LTE-D2D data rate is also found significantly higher with higher D2D-SINR for lower relative mobility (= 30m/s) and lower D2D distance (<400m) between devices.

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Sensors of Smart Devices in the Internet of Everything (IoE) Era: Big Opportunities and Massive Doubts

Journal of Sensors ◽

10.1155/2019/6514520 ◽

2019 ◽

Vol 2019 ◽

pp. 1-26 ◽

Cited By ~ 7

Author(s):

Mohammad Masoud ◽

Yousef Jaradat ◽

Ahmad Manasrah ◽

Ismael Jannoud

Keyword(s):

Machine Learning ◽

Electronic Devices ◽

Machine Learning Algorithms ◽

Smart Devices ◽

Smart Device ◽

Internet Of Everything ◽

Data Collection And Analysis ◽

Machine Learning Applications ◽

Management Operation

Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices. Sensors are added to enhance the usability of these devices and improve the quality of experience through data collection and analysis. However, with the era of big data and machine learning, sensors’ data may be processed by different techniques to infer various hidden information. The extracted information may be beneficial to device users, developers, and designers to enhance the management, operation, and development of these devices. However, the extracted information may be used to compromise the security and the privacy of humans in the era of Internet of Everything (IoE). In this work, we attempt to review the process of inferring meaningful data from smart devices’ sensors, especially, smartphones. In addition, different useful machine learning applications based on smartphones’ sensors data are shown. Moreover, different side channel attacks utilizing the same sensors and the same machine learning algorithms are overviewed.

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Experience of Using an App in HIV Patients Older Than 60 Years: Pilot Program (Preprint)

10.2196/preprints.9904 ◽

2018 ◽

Author(s):

Julián Olalla ◽

Jose María García de Lomas ◽

Efrén Márquez ◽

Francisco Jesús González ◽

Alfonso Del Arco ◽

...

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Hiv Infection ◽

New Technologies ◽

Small Sample Size ◽

Mobile App ◽

Small Sample ◽

Control Group

BACKGROUND New technologies can promote knowledge of HIV infection among patients suffering from this disease. Older patients with HIV infection represent an increasingly large group that could benefit from the use of specific apps. OBJECTIVE The aim of the study was to observe the acceptability and use of a mobile app on HIV infection in patients at least 60 years old and offer them the possibility of anonymously establishing contact with their peers. METHODS A series of clinical and psychosocial parameters were studied in 30 HIV-infected patients of over 60 years. The patients must be at least 60 years old, with a follow-up in the outpatient clinic for at least 1 year and without pathologies that limit his or her life expectancy to less than a year. They must know how to read and write. To be part of the group assigned to the app, they had to have their own smartphone and confirm that they were connected to the internet from that device. Overall, 15 of them were randomized to use an app and 15 were in the control group. All tests were repeated after 6 months. RESULTS The median age of patients was 66.5 years. Among them, 29 patients had an undetectable viral load at baseline. The median number of comorbid diseases was 2. Overall, 11 of them lived with their partners and 19 lived alone. They spent an average of 5 hours a day sitting down, and 56% (17/30) of them referred high physical activity. They scored 4 out of 5 for general quality of life perception. Moreover, 80% (24/30) presented high adherence to their treatment, and the average number of concomitant medications was 5. In the 6-min walking test, they covered a distance of 400 meters, and 3 of them desaturated during the test. The 15 patients made frequent use of the app, with 2407 sessions and an average of 7 min and 56 seconds time of use with a total of 13,143 screen views. During the 6 months of the trial, 3 non-AIDS events took place. There were no significant modifications to body mass index, blood pressure measurements, lipid profile, or immuno-virology information data. There were no differences in the questionnaire scores for perception of quality of life, confessed physical activity, or antiretroviral treatment (ART) and non-ART treatment adherence. CONCLUSIONS Significant differences between studied parameters were not objectified in these patients, possibly because this trial has significant limitations, such as a small sample size and only a brief follow-up period. However, patients did use the app frequently, making this a possible intervention to be proposed in future subsequent studies.

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Exercise Management Using a Mobile App in Patients with Parkinsonism: A Prospective, Open-label, Single-arm, Pilot Study (Preprint)

10.2196/preprints.27662 ◽

2021 ◽

Author(s):

Aram Kim ◽

Seo Jung Yun ◽

Kwan Sik Sung ◽

Yeonju Kim ◽

Ju Young Jo ◽

...

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Pilot Study ◽

Management Strategy ◽

Exercise Program ◽

Mobile App ◽

Open Label ◽

Home Based ◽

Secondary Outcomes

BACKGROUND Although exercise has benefits for motor function and quality of life in patients with parkinsonism, these patients have many barriers to exercise participation. Recently, the use of mobile apps has been highlighted as a remotely supervised exercise management strategy. OBJECTIVE This study aimed to evaluate the effects of home-based exercise management with a customized mobile app on exercise amount, physical activity, and quality of life in patients with parkinsonism. METHODS This was a prospective, open-label, single-arm, pilot study. Participants were encouraged to engage in an 8-week home-based exercise program delivered through a customized app. The primary outcome was the exercise amount. The secondary outcomes were International Physical Activity Questionnaire (IPAQ), Parkinson’s Disease Questionnaire-39 (PDQ-39), and Geriatric Depression Scale (GDS). RESULTS A total of 21 participants completed the intervention and assessment (mean age: 72 years; women: 17/21, 81%; men: 4/21, 19%). The participants reported a significant increase in the total amount of exercise (baseline: 343.33±206.70 min/week; 8-week follow up: 693.10±373.45 min/week; P<.001) and in the amount of each exercise component including stretching, strengthening, balance and cooperation, and oral-motor and vocal exercise after 8 weeks. The analysis of secondary outcomes revealed significant improvements in the IPAQ (P=.006), PDQ-39 (P=.02), and GDS (P=.04) scores. The usability of the program with the mobile app was verified based on the positive responses such as “intention to use” and “role expectation for rehabilitation.” CONCLUSIONS Exercise management with a customized mobile app may have benefits for improving exercise adherence, physical activity, depression, and quality of life in patients with parkinsonism. This supervised home-based, technology-based, reinforcing, and multimodal exercise management strategy should be recommend to patients with parkinsonism. In addition, this program may be useful as an alternative exercise management strategy during the COVID-19 pandemic. Additional clinical trials are needed to evaluate the efficacy of this exercise program in a large population and to confirm its disease-modifying effects.

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Use of a mobile lifestyle intervention application as a waitlist intervention for adolescents with obesity: single arm feasibility study (Preprint)

10.2196/preprints.20520 ◽

2020 ◽

Author(s):

Chu Shan Elaine Chew ◽

Eric Andrew Finkelstein ◽

Courtney Davis

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Lifestyle Intervention ◽

Intervention Program ◽

Clinical Care ◽

Mobile App ◽

Z Score ◽

Fat Percentage ◽

Lifestyle Intervention Program

BACKGROUND Use of a mobile health tool as a waitlist intervention combined with in-person weight management clinic visits may increase participant engagement and be an effective treatment strategy for adolescent obesity. OBJECTIVE The aim of this study was to assess the effectiveness of and adolescent engagement with a mobile application-based lifestyle intervention program as a waitlist intervention prior to their engagement with a multidisciplinary weight management clinic METHODS This single-arm feasibility study recruited adolescents with obesity, aged 10-16 year old, to a waitlist intervention using a mobile app-based lifestyle intervention program with routine clinical care. Primary outcomes were adolescents’ engagement with the mobile application and BMI z-score at 6 months. Secondary outcomes included health behaviours, physical activity levels , quality of life and disordered eating behaviours. RESULTS We enrolled 40 adolescents with mean age of 13.8 ± 1.7 years and BMI z-score of 2.07 ± 0.30. Participants were ethnically diverse with 45% Chinese, 33% Malay, 15% Indians and 10% of other ethnicity. 83% of the participants had a household income level that was below the national median levels. 83% of the participants engaged with the mobile app-based lifestyle intervention program. There was no significant differences in the BMI z-score and disordered eating behaviours of the participants at 6 months. Participants had significant improvement in quality of life (P=0.044) and physical activity level (P=0.026) with reduction of total caloric intake (P=0.018) and fat percentage (P=0.018) at 6 months. CONCLUSIONS Use of a mobile app-based lifestyle intervention program combined with multidisciplinary clinical care is feasible strategy to provide obesity management services to a low-income and racially diverse Asian population and improves quality of life, physical activity levels and reduces fat percentage and total caloric intake. CLINICALTRIAL ClinicalTrials.gov NCT03561597

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Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information

Sensors ◽

10.3390/s21144684 ◽

2021 ◽

Vol 21 (14) ◽

pp. 4684

Author(s):

Lihi Dery ◽

Artyom Jelnov

Keyword(s):

User Satisfaction ◽

High Accuracy ◽

Smart Devices ◽

Smart Device ◽

Privacy Risk ◽

Trade Off ◽

Private Data ◽

User Data ◽

Positive Correlations

Accurately tailored support such as advice or assistance can increase user satisfaction from interactions with smart devices; however, in order to achieve high accuracy, the device must obtain and exploit private user data and thus confidential user information might be jeopardized. We provide an analysis of this privacy–accuracy trade-off. We assume two positive correlations: a user’s utility from a device is positively correlated with the user’s privacy risk and also with the quality of the advice or assistance offered by the device. The extent of the privacy risk is unknown to the user. Thus, privacy concerned users might choose not to interact with devices they deem as unsafe. We suggest that at the first period of usage, the device should choose not to employ the full capability of its advice or assistance capabilities, since this may intimidate users from adopting it. Using three analytical propositions, we further offer an optimal policy for smart device exploitation of private data for the purpose of interactions with users.

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A Power Dissipation Monitoring Circuit for Intrusion Detection and Botnet Prevention on IoT Devices

Computation ◽

10.3390/computation9020019 ◽

2021 ◽

Vol 9 (2) ◽

pp. 19

Author(s):

Dimitrios Myridakis ◽

Paul Myridakis ◽

Athanasios Kakarountas

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Low Cost ◽

International Standards ◽

Normal Operation ◽

Smart Devices ◽

Smart Device ◽

Operation Conditions ◽

Ip Camera ◽

In Series

Recently, there has been a sharp increase in the production of smart devices and related networks, and consequently the Internet of Things. One concern for these devices, which is constantly becoming more critical, is their protection against attacks due to their heterogeneity and the absence of international standards to achieve this goal. Thus, these devices are becoming vulnerable, with many of them not even showing any signs of malfunction or suspicious behavior. The aim of the present work is to introduce a circuit that is connected in series with the power supply of a smart device, specifically an IP camera, which allows analysis of its behavior. The detection circuit operates in real time (real-time detection), sampling the supply current of the device, processing the sampled values and finally indicating any detection of abnormal activities, based on a comparison to normal operation conditions. By utilizing techniques borrowed by simple power analysis side channel attack, it was possible to detect deviations from the expected operation of the IP camera, as they occurred due to intentional attacks, quarantining the monitored device from the rest of the network. The circuit is analyzed and a low-cost implementation (under 5US$) is illustrated. It achieved 100% success in the test results, showing excellent performance in intrusion detection.

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A INDOOR POSITION ROUTING (IPR) AND DATA MONITOR USING BLUETOOTH LOW ENERGY TECHNOLOGY (iBEACON-BLE): AN IMPLEMENTATION STUDY

ICONTECH INTERNATIONAL JOURNAL ◽

10.46291/icontechvol5iss1pp38-61 ◽

2021 ◽

Vol 5 (1) ◽

pp. 38-61

Author(s):

Batur Alp Akgül ◽

Bülent HAZNEDAR ◽

Abdurrahman YAŞAR ◽

Mustafa Ersan ÇİNKILIÇ

Keyword(s):

Mobile Application ◽

Low Cost ◽

Low Energy ◽

Sensor Nodes ◽

Smart Devices ◽

Smart Device ◽

Indoor Environments ◽

Bluetooth Low Energy ◽

Proposed Model ◽

Mobile Industry

Rapid advancements in mobile industry have emerged new technological ideas and applications for researchers by allowing smart devices over the last decade. In recent years, the need for Indoor Position Routing (IPR) and Location-Based Advertisements (LBA) systems are increasingly common, IPR and LBA systems have been becoming very popular. Nowadays, it has become possible to create software and hardware applications for IPR and LBA in indoor environments, thanks to developments of different technologies. The development of the system should be based on low-cost technology, it should be suitable for integration and indoors operation. New options and possibilities for indoor locations are presented by the iBeacon-Bluetooth Low Energy (BLE) radio protocol. iBeacon-BLE supports portable battery-powered system that can be smoothly distributed at low cost giving it distinct advantages over Wi-Fi. Therefore, in this study, a technological infrastructure is created to solve the navigation problem in closed locations using iBeacon-BLE technology, a data monitoring information system is proposed for smart devices of currently available technology for IPR, LBA with using iBeacon-BLE. The localization of the objects based on iBeacon-BLE and their combination are determined using the measured data with the developed application. To build an IPR system for indoor environments, the available hardware, software, and network technologies are presented. The concept of the indoor monitoring system and the technologies can be used to develop the IPR system are presented. This system is made up of iBeacon-BLE sensor nodes, a smart device and a mobile application that provides IPR and LBA services by measuring the distance between Transmitter (TX) and Receiver (RX). The proposed model uses the trilateration method, it allows the mobile application to determine the exact location of the object at the micro-level size. The proposed model uses sensory data to identify and trilateration the object’s position.

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The Use of Sports Apps for Engaging in Physical Activity

Baltic Journal of Sport and Health Sciences ◽

10.33607/bjshs.v2i121.1085 ◽

2021 ◽

Vol 2 (121) ◽

pp. 28-33

Author(s):

Silvija Baubonytė ◽

Karolina Deliautaitė ◽

Kristina Mejerytė Narkevičienė ◽

Irena Valantinė

Keyword(s):

Physical Activity ◽

Healthy Lifestyle ◽

Ease Of Use ◽

Smart Devices ◽

Smart Device ◽

Key Factors ◽

Physically Active ◽

Personal Innovativeness ◽

Lack Of Information ◽

Sports Involvement

Background. As healthy lifestyle and physical activity become more relevant, sports apps are receiving more attention as one of the most convenient tools for monitoring one’s physical condition. While activity-related apps are thought to be effective tools for health care and management, there is still a lack of information on the key factors that motivate individuals to download and use them. Seeing the large selection of different sports apps with similar functions, it can be assumed that other factors, such as certain characteristics of the apps or the user’s characteristics can also influence the consumer’s choice. Methods. The study included 410 physically active subjects who were using sports apps (137 men and 273 women). To establish sports app usage, the questionnaire developed by Ha, Kang, and Ha (2015) was used. The statistical analysis of the data was performed using SPSS. Results. In the analysis of different factors, the perception of sports apps was assessed the most positively. All these factors were more likely to be assessed positively by women than by men (p ≤ .05). The strongest correlations with intentions were found between perceptions of sports apps (enjoyment, ease of use, usefulness, reliability) (r > .5, p ≤ .01) while with other variables correlations were slightly lower. Conclusions. Women are more positive about the use of sports apps, in their perceptions and their connection to the smart device. Intentions to use sports apps are most influenced by perceptions of sports apps and personal innovativeness, which not only directly affects the intentions themselves, but also influences the perceptions that influence the intentions. Keywords: smartphones, smart devices, sports involvement, innovation, perception.

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