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Journal articles on the topic 'Remote Health'

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Published: 4 June 2021
Last updated: 26 January 2023

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1

Wakerman, John. "Defining remote health." Australian Journal of Rural Health 12, no. 5 (October 2004): 210–14. http://dx.doi.org/10.1111/j.1440-1854.2004.00607.x.

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2

Brajakishorebarik et al.,, Brajakishorebarik et al ,. "Remote Health Monitoring System Using Healthy Pi." International Journal of Electrical and Electronics Engineering Research 8, no. 2 (2018): 1–12. http://dx.doi.org/10.24247/ijeeerjun20181.

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3

Shaderkin, I. A., and V. A. Shaderkina. "Remote health monitoring: motivating patients." Journal of Telemedicine and E-Health 6, no. 3 (October 5, 2020): 37–43. http://dx.doi.org/10.29188/2542-2413-2020-6-3-37-43.

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Introduction. There is currently a great number of mobile apps and devices for remote monitoring of biometric indicators used by patents and healthy people. Aim. The purpose of the paper is to review principles and methods of patient motivation for active using of mobile apps and devices for health state estimation. Matireals and methods. We conducted the analysis of 66 scientific sources for the last 5 years, 32 sources related to this theme were selected. We also used our experience of 250 000 remote consultations of urological patients. Results. Physicians should actively involve patients in care of their health – explain advantages of using mobile apps which allow to monitor health state and its changings in real time. Thus it will allow to react to emerging disfunctions, to correct them and to prevent complications or fatal outcome. In spite of evident prospectivity of remote health monitoring we can highlight several difficulties and risks, connected with it, such as low physicians’ motivation, increasing of their labor costs, safe personal and medical data storage, inaccurate and excessive data, difficulties of systematization, slow decrease of patients adherence to using mobile apps. Conclusions. The application of devices and apps for remote monitoring of health indicators is greatly promising as a source of secondary diagnostic information. Further research for clarification of remote technologies influence on clinical outcome is required. Long work for enlightenment and promoting patients’ and physicians’ interest is to be done before telemonitoring devices will occupy a niche in the healthcare system.
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4

Shaderkin, I. A., and V. A. Shaderkina. "Remote health monitoring: motivating patients." Journal of Telemedicine and E-Health 6, no. 3 (October 5, 2020): 37–43. http://dx.doi.org/10.29188/2542-2413-2020-6-3-37-43.

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Introduction. There is currently a great number of mobile apps and devices for remote monitoring of biometric indicators used by patents and healthy people. Aim. The purpose of the paper is to review principles and methods of patient motivation for active using of mobile apps and devices for health state estimation. Matireals and methods. We conducted the analysis of 66 scientific sources for the last 5 years, 32 sources related to this theme were selected. We also used our experience of 250 000 remote consultations of urological patients. Results. Physicians should actively involve patients in care of their health – explain advantages of using mobile apps which allow to monitor health state and its changings in real time. Thus it will allow to react to emerging disfunctions, to correct them and to prevent complications or fatal outcome. In spite of evident prospectivity of remote health monitoring we can highlight several difficulties and risks, connected with it, such as low physicians’ motivation, increasing of their labor costs, safe personal and medical data storage, inaccurate and excessive data, difficulties of systematization, slow decrease of patients adherence to using mobile apps. Conclusions. The application of devices and apps for remote monitoring of health indicators is greatly promising as a source of secondary diagnostic information. Further research for clarification of remote technologies influence on clinical outcome is required. Long work for enlightenment and promoting patients’ and physicians’ interest is to be done before telemonitoring devices will occupy a niche in the healthcare system.
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5

Basu, Samik, Mahasweta Ghosh, and Soma Barman Mandal. "Intelligent remote health monitoring system." International Journal of Information Technology, Communications and Convergence 3, no. 4 (2020): 259. http://dx.doi.org/10.1504/ijitcc.2020.112453.

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6

Mohanad, Abdulhamid, and Peter Deng. "REMOTE HEALTH MONITORING: FALL DETECTION." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 1(19) (2020): 199–205. http://dx.doi.org/10.25140/2411-5363-2020-1(19)-199-205.

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Urgency of the research. Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. Target setting. The target of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall. Actual scientific researches and issues analysis. Healthcare systems in the world have undergone tremendous evolution in the last 50 years. In the early 1960s, we had computers in the form of mainframes being incorporated into healthcare systems. However, there were some problems met from their usage. These mainframes were very few, expensive, large in size and consumed a lot of electrical power and as a result, they had to be shared by several hospitals since independent ownership wasn’t feasible an idea to be considered at all. Uninvestigated parts of general matters defining. Despite all of the changes, there was still the issue of affordability of the treatments offered by the hospitals from the patients’ point of view. This had a negative impact on both the hospitals & patients. Hospitals were not getting that large enough a number of patients for treatment while patients were opting for alternatively cheaper treatment plans. The research objective. The scope of this paper is limited to fall detection and remote viewing of the collected data. Fall detection algorithm is developed and implemented through programming on Arduino Uno board. Remote viewing of the data is done on a laptop after having fall detection data wirelessly transmitted to it. The statement of basic materials. To detect fall along an axis, the acceleration magnitude is considered. With the accelerometer output data, the angle change can also be calculated using the dot product. In the event of falling, one experiences a momentary free-fall then a large spike in acceleration. For wireless data transmission, we choose the HC‐05 module which is an easy to use Blue-tooth SPP (Serial Port Protocol) module, designed for transparent wireless serial connection setup. For appropriate fall detection, we choose an accelerometer. The Bluetooth module receives fall detection data from the micro-controller and transmits the same to a laptop computer where we realize remote viewing of the data. Conclusions. The objective of this paper was to design a fall detection system that links wirelessly with a laptop computer (where we have remote viewing of the collected data). By the conclusion of this paper, we had achieved the primary goal of creating a working system able to recognize falls from non-falls, while wirelessly synched with a laptop.
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7

Wakerman, John, John S. Humphreys, Robert W. Wells, Pim Kuipers, Philip Entwistle, and Judith Jones. "Improving rural and remote health." Medical Journal of Australia 186, no. 9 (May 2007): 486. http://dx.doi.org/10.5694/j.1326-5377.2007.tb01014.x.

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8

Patil, Tanmay, Tanish Meshram, Ankit Rai, Manav Dadwal, and Prof N. Narkhede. "Remote Patient Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 196–98. http://dx.doi.org/10.22214/ijraset.2022.42147.

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Abstract: With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. As a result, this project is an attempt to solve a healthcare problem currently society is facing. The main objective of the project was to design a remote healthcare system. It’s comprised of three main parts. The first part being, detection of patient’s vitals using sensors, second for sending data to database and the last part was providing the detected data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress away from hospital premises. The Internet of Things (IoT) concepts have been widely used to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to the patients. Health monitoring for active and assisted living is one of the paradigms that can use the IoT advantages to improve the patient’s lifestyle. In this project, I have presented an IoT architecture customized for healthcare applications. The aim of the project was to come up with a Remote Health Monitoring System that can be made with locally available sensors with a view to making it affordable if it were to be mass produced. With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. One main area of research that has seen an adoption of the technology is the healthcare sector. The people in need of healthcare services find it very expensive this is particularly true in developing countries. Keywords: IoT, MCU, Oxygen Level, Humidity
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9

Gregory, Gordon. "Darwin conference: Remote health check." Australian Journal of Rural Health 23, no. 2 (April 2015): 122. http://dx.doi.org/10.1111/ajr.12193.

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10

Sathya, Duraisamy, and Pugalendhi Ganesh Kumar. "Secured remote health monitoring system." Healthcare Technology Letters 4, no. 6 (December 1, 2017): 228–32. http://dx.doi.org/10.1049/htl.2017.0033.

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11

Mandal, Soma Barman, Mahasweta Ghosh, and Samik Basu. "Intelligent remote health monitoring system." International Journal of Information Technology, Communications and Convergence 3, no. 4 (2020): 259. http://dx.doi.org/10.1504/ijitcc.2020.10034642.

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12

Padeken, D., D. Sotiriou, K. Boddy, and R. Gerzer. "Health care in remote areas." Journal of Medical Systems 19, no. 1 (February 1995): 69–76. http://dx.doi.org/10.1007/bf02257192.

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13

ABDULHAMID, Mohanad, and Deng PETER. "REMOTE HEALTH MONITORING: FALL DETECTION." Applied Computer Science 16, no. 1 (March 30, 2020): 95–102. http://dx.doi.org/10.35784/acs-2020-08.

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Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. With elderly who live alone, not being found for hours after a fall is quite common and drastically increases the significance of fall-induced injuries. With an aging Baby Boomer population, the incidence of falls will only rise in the next few decades. The objective of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall.
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14

Onnis, Leighanne. "Attracting Future Health Workforces in Geographically Remote Regions: perspectives from current remote health professionals." Asia Pacific Journal of Health Management 12, no. 2 (July 25, 2017): 25–33. http://dx.doi.org/10.24083/apjhm.v12i2.77.

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Objective: The aim of this study was to identify what has previously attracted health professionals to work in geographically remote regions, to identify the incentives that managers are currently using to attract health professionals to remote regions, and to determine whether they are comparable. Design: This article examines the data from two separate, yet complementary, research studies. The first study used qualitative methods to investigate why health professionals choose to work in geographically remote regions through current remote health workforces. The second study investigated whether information communicated through recruitment advertising contained information congruent with the themes that attracted the current remote health professionals through a content analysis of recruitment advertisements. The findings from these two studies are then compared and contrasted and Psychological Contract Theory is used to examine the implications for health service managers. Setting: This study was conducted in northern Australia, a remote tropical setting with geographically challenging working conditions. Results: The findings revealed that recruitment advertisements contained information comparable with the themes that had attracted health professionals to work in remote regions. Most importantly, they highlight opportunities to better align recruitment practices, and provide insight into how unrealistic expectations lead to psychological contract breaches. Conclusions: This study found that while recruitment advertisements are using appropriate content to attract health professionals to remote regions, there is considerable scope for improvement so that attraction translates into improved retention.
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15

Takeda, Yuko, Mitsumi Ono, Hideyuki Kanda, Sachiko Hara, and Keiko Takeda. "Factors Related to Nocturia in Elderly People Living in Local Remote Area in Japan." Health 09, no. 04 (2017): 657–68. http://dx.doi.org/10.4236/health.2017.94047.

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16

Majumder, Sumit, Tapas Mondal, and M. Deen. "Wearable Sensors for Remote Health Monitoring." Sensors 17, no. 12 (January 12, 2017): 130. http://dx.doi.org/10.3390/s17010130.

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17

Oyaro, Kwamboka. "Taking health services to remote areas." Africa Renewal 30, no. 3 (March 13, 2017): 22–23. http://dx.doi.org/10.18356/474aefe7-en.

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18

Sensmeier, Joyce. "Managing health with remote patient monitoring." Nursing Management 52, no. 11 (November 2021): 13–17. http://dx.doi.org/10.1097/01.numa.0000795604.69169.51.

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19

Chaudhary, Manish. "IOT based Remote Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 10, 2021): 80–85. http://dx.doi.org/10.22214/ijraset.2021.34834.

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As the technology changing every year so, there has been an attempt to apply the new technology in numerous areas to increase the quality of human life. One of the main fields of research that has seen an implementation of the technology is the healthcare sector. Consequently, our paper is an effort to solve a healthcare problem currently people are facing. Main objective of our paper is to enterprise a remote healthcare system. It covers of three key parts. The first part is, detection of patient’s condition with the proposed system, second is to storing data on cloud storage and the last part is to provide the data for isolated viewing. Remote observing of the data empowers a doctor or custodian to television a patient’s health advancement from anywhere. In this project, we have obtainable an IoT architecture personalized for healthcare applications. The main motive of this scheme is to come up with a Remote Health Monitoring System that will completed with locally available sensors with a view to manufacture it reasonable for everybody
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20

Moga, Daniel, Mihai Dumitrean, Nicoleta Stroia, and Dorin Petreus. "Remote Monitoring of Industrial Systems Health." IFAC Proceedings Volumes 43, no. 23 (2010): 169–73. http://dx.doi.org/10.3182/20101005-4-ro-2018.00050.

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21

Brownsell, S. J., G. Williams, D. A. Bradley, R. Bragg, P. Catlin, and J. Carlier. "Future systems for remote health care." Journal of Telemedicine and Telecare 5, no. 3 (July 6, 1999): 141–52. http://dx.doi.org/10.1258/1357633991933503.

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22

Torzillo, Paul, Stephan Rainow, and Paul Pholeros. "Environmental Health in. Remote Aboriginal Communities." Journal of the Royal Society of Health 113, no. 6 (December 1993): 310–12. http://dx.doi.org/10.1177/146642409311300608.

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23

Gregory, Gordon. "Progressing rural and remote health research." Australian Journal of Rural Health 18, no. 4 (August 2, 2010): 134–36. http://dx.doi.org/10.1111/j.1440-1584.2010.01144.x.

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24

Jovanovic, Petar. "Adopting remote sensing for public health." Preventive Veterinary Medicine 11, no. 3-4 (December 1991): 357–58. http://dx.doi.org/10.1016/s0167-5877(05)80024-8.

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25

Mclaren, Paul, and Maria O'Kane. "Remote psychotherapy." Journal of Telemedicine and Telecare 4, no. 2 (June 1, 1998): 122. http://dx.doi.org/10.1258/1357633981931966.

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26

Fallahzadeh, Ramin, Seyed Ali Rokni, Hassan Ghasemzadeh, Enrique Soto-Perez-de-Celis, and Armin Shahrokni. "Digital Health for Geriatric Oncology." JCO Clinical Cancer Informatics, no. 2 (December 2018): 1–12. http://dx.doi.org/10.1200/cci.17.00133.

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In this review, we describe state-of-the-art digital health solutions for geriatric oncology and explore the potential application of emerging remote health-monitoring technologies in the context of cancer care. We also discuss the benefits and motivations behind adopting technology for symptom monitoring of older adults with cancer. We provide an overview of common symptoms and of the digital solutions–designed remote symptom assessment. We describe state-of-the-art systems for this purpose and highlight the limitations and challenges for the full-scale adoption of such solutions in geriatric oncology. With rapid advances in Internet-of-things technologies, many remote assessment systems have been developed in recent years. Despite showing potential in several health care domains and reliable functionality, few of these solutions have been designed for or tested in older patients with cancer. As a result, the geriatric oncology community lacks a consensus understanding of a possible correlation between remote digital assessments and health-related outcomes. Although the recent development of digital health solutions has been shown to be reliable and effective in many health-related applications, there exists an unmet need for development of systems and clinical trials specifically designed for remote cancer management of older adults with cancer, including developing advanced remote technologies for cancer-related symptom assessment and psychological behavior monitoring at home and developing outcome-oriented study protocols for accurate evaluation of existing or emerging systems. We conclude that perhaps the clearest path to future large-scale use of remote digital health technologies in cancer research is designing and conducting collaborative studies involving computer scientists, oncologists, and patient advocates.
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27

Henderson, Isabel, Karen Vanlohuizen, and Ted Fenske. "Remote cardiac rehabilitation." Journal of Telemedicine and Telecare 6, no. 2_suppl (August 2000): 28–30. http://dx.doi.org/10.1258/1357633001935455.

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The implementation of a remote cardiac rehabilitation service to educate people about heart disease is currently under way in northern Alberta. Twenty per cent of patients in the catchment area live in remote areas outside the regional centre and are faced with the usual difficulties of attending urban health-care programmes. The availability of the remote cardiac rehabilitation service enables patients to receive the same rehabilitation benefits as their urban counterparts.
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28

Kiljunen, Mari, Elina Laukka, Tarja K. Koskela, and Outi Ilona Kanste. "Remote leadership in health care: a scoping review." Leadership in Health Services 35, no. 1 (November 8, 2021): 98–115. http://dx.doi.org/10.1108/lhs-06-2021-0059.

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Purpose The degree of remote working has increased in the health-care sector, but remote leadership in health-care contexts has not been systematically studied. Thus, the purpose of this review was to map existing literature and research themes of remote leadership in health care and identify potential research gaps to guide future studies. Design/methodology/approach A scoping review with narrative synthesis was conducted, covering all published literature addressing remote, virtual, online or distance leadership practices. The ABI/INFORM Collection, CINALH, PsycArticles, Scopus and Web of Science, MedNar, Open Grey and PQDT Open databases were searched electronically, and Finnish Journal of eHealth and eWelfare was searched manually. Findings In total 15 articles were included in the review. Most literature concerning remote leadership in health care has been published during the past three decades. The main themes discerned in this research stream are related to interactions, work environments, leadership in practice, use of technology and needs for more study of remote leadership and guidance for remote leaders. Research limitations/implications Research on remote leadership in health care is limited, patchy and associated concepts vary substantially. More comprehensive research on the phenomenon is needed, with more systematic attention to, and coverage of, relevant populations, concepts, contexts and the identified themes. Originality/value To the best of the authors’ knowledge, this appears to be the first review to map research on remote leadership in health care and identify research gaps, which is important as its prevalence has rapidly increased.
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29

Melnyk, Anatoliy, Yuriy Morozov, Bohdan Havanio, and Petro Hupalo. "Investigation of Wireless Pulse Oximeters for Smartphone-based Remote Monitoring of Lung Health." Advances in Cyber-Physical Systems 5, no. 2 (October 3, 2020): 70–76. http://dx.doi.org/10.23939/acps2020.02.070.

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Coronavirus has the greatest effect on the human lungs. This is why lungs of patients with COVID- 19 require constant medical monitoring. One of the tools for the lungs condition monitoring is based on the wireless pulse oximeters connected to smartphones. There is an attempt to analyze the types of pulse oximeters, their technical characteristics, principles of operation and basic requirements for these measuring instruments in the article. According to this study, the most effective pulse oximeters for 24/7 monitoring of lung function were selected. Principles of pulse oximeter functioning and mathematical basis of its operation have been described. The criteria for pulse oximeter selection have been determined, and comparative analysis of pulse oximeters with wireless communication has been conducted.
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30

Galván, Pedro, Miguel Velázquez, Ronald Rivas, Gualberto Benitez, Antonio Barrios, and Enrique Hilario. "Health diagnosis improvement in remote community health centers through telemedicine." Medicine Access @ Point of Care 2 (January 2018): 239920261775310. http://dx.doi.org/10.1177/2399202617753101.

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31

Duong, Diana. "Is remote work affecting health workers’ sleep?" Canadian Medical Association Journal 193, no. 21 (May 24, 2021): E780—E781. http://dx.doi.org/10.1503/cmaj.1095941.

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32

Callais, Chad, and Larry S. Chapman. "Health Promotion Program Strategies for Remote Worksites." American Journal of Health Promotion 25, no. 2 (November 2010): TAHP—1—TAHP—12. http://dx.doi.org/10.4278/ajhp.25.2.tahp.

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33

Khorakhun, Chonlatee, and Saleem N. Bhatti. "Remote Health Monitoring Using Online Social Media." ICST Transactions on Ubiquitous Environments 1, no. 3 (November 17, 2014): e2. http://dx.doi.org/10.4108/ue.1.3.e2.

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34

Ahamed, S. M. Sabbir, Md Ashiqur Rahman Emu, and Wardah Saleh. "Heartbeat Sensor System for Remote Health Monitoring." International Journal of Computer Applications 174, no. 15 (January 15, 2021): 27–31. http://dx.doi.org/10.5120/ijca2021921036.

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35

Munjal, Naveen Kuma, and Shiv Ratan Singh. "REMOTE HEALTH MONITORING SYSTEM FOR RURAL AREAS." International Journal of Technical Research & Science 5, no. 6 (June 15, 2020): 1–7. http://dx.doi.org/10.30780/ijtrs.v05.i06.001.

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36

Naidu, Kalpana, and Sreenu Sunkaraboina. "Remote health monitoring system using heterogeneous networks." Healthcare Technology Letters 9, no. 1-2 (December 24, 2021): 16–24. http://dx.doi.org/10.1049/htl2.12020.

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37

Zhang, Di, Joel J. P. C. Rodrigues, Yunkai Zhai, and Kaoru Sezaki. "5G and Beyond Technology-Enabled Remote Health." IEEE Wireless Communications 28, no. 3 (June 2021): 44–45. http://dx.doi.org/10.1109/mwc.2021.9491945.

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38

Sarinastiti, Nia, Ario Bimo, and Jeffrey Cole. "RELATIONS OF REMOTE WORKING TO MENTAL HEALTH." ASPIRATION Journal 2, no. 2 (March 30, 2022): 194–213. http://dx.doi.org/10.56353/aspiration.v2i2.40.

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Since the pandemic, remote work is the only option to keep people’s productivity outside of the workplace. At first, people were happy to not be having to commute, spending more time at home and having extra hours to do interesting activities not related to work. But that did not last long. Approximately six months later indicate changes to mental states. The aim of this research is to understand the relations of remote work during the Covid-19 pandemic to mental health and identify activities that help to bridge mental health issues. Conceptual thinking of the research is based on social networks, social relations, lifestyle preference, social media hashtags. Research method uses social network analytics based on Netlytic.org and Gephi tools to determine the depth of the relations. The result states that remote work has relations to mental health, in which the wellbeing of individuals relates to the way they work, which hence alter the use of time to do other useful activities.
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39

Wakerman, John. "Rural and remote health: a progress report." Medical Journal of Australia 202, no. 9 (May 2015): 461–62. http://dx.doi.org/10.5694/mja15.00398.

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40

Chowdhury, Maksudul, William Mciver, and Janet Light. "Data association in remote health monitoring systems." IEEE Communications Magazine 50, no. 6 (June 2012): 144–49. http://dx.doi.org/10.1109/mcom.2012.6211499.

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41

Clark, Steve. "Networking rural and remote communities for health." Journal of Telemedicine and Telecare 2, no. 1 (March 2, 1996): 95–98. http://dx.doi.org/10.1258/1357633961929448.

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42

Holmes, Leanne. "Health Information Management in Remote Tropical Islands." Health Information Management Journal 35, no. 1 (June 2006): 47–52. http://dx.doi.org/10.1177/183335830603500108.

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Helal, Sumi. "Digital Health: E-Coaching and Remote Monitoring." Computer 53, no. 2 (February 2020): 23–25. http://dx.doi.org/10.1109/mc.2019.2958398.

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Godden, DJ, and HM Richards. "Health Research in Remote and Rural Scotland." Scottish Medical Journal 48, no. 1 (February 2003): 10–12. http://dx.doi.org/10.1177/003693300304800103.

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45

CRANAplus. "Across the spectrum of remote health practice." Australian Journal of Rural Health 19, no. 4 (July 20, 2011): 224. http://dx.doi.org/10.1111/j.1440-1584.2011.01214.x.

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Brady, Maggie. "Health care in remote Australian Indigenous communities." Lancet 362 (December 2003): s36—s37. http://dx.doi.org/10.1016/s0140-6736(03)15069-6.

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47

Jovanović, Petar. "Satellite remote sensing imagery in public health." Acta Astronautica 15, no. 11 (November 1987): 951–53. http://dx.doi.org/10.1016/0094-5765(87)90056-7.

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Jovanovic, Petar. "Remote sensing of environmental factors affecting health." Advances in Space Research 7, no. 3 (January 1987): 11–18. http://dx.doi.org/10.1016/0273-1177(87)90118-9.

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49

Moorhouse, Chris, and Chris Wilson. "Learning together for remote area health care." Australian Journal of Rural Health 12, no. 5 (October 2004): 223. http://dx.doi.org/10.1111/j.1440-1854.2004.00610.x.

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Golchinfar, Behnoush, Dimitri Donskoy, Julius Pavlov, and Marcus Rutner. "Remote monitoring of structural health in composites." Steel Construction 10, no. 1 (January 2017): 31–36. http://dx.doi.org/10.1002/stco.201710007.

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