feat: update bibliography

bibliography/bibliography.bib

@@ -643,3 +643,207 @@ Early warning score systems are widely used to facilitate detection of the deter
 	keywords = {Early warning scores, Interviews, Monitoring, Patient experience, Vital signs},
 	file = {ScienceDirect Snapshot:/home/ulinja/Zotero/storage/BBCZQB5R/S1386505618302508.html:text/html;Submitted Version:/home/ulinja/Zotero/storage/AL4WYTXJ/Downey et al. - 2018 - Patient attitudes towards remote continuous vital .pdf:application/pdf},
 }
+
+@article{joshi_wearable_2019,
+	title = {Wearable sensors to improve detection of patient deterioration},
+	volume = {16},
+	issn = {1743-4440},
+	url = {https://doi.org/10.1080/17434440.2019.1563480},
+	doi = {10.1080/17434440.2019.1563480},
+	abstract = {Introduction: Monitoring a patient’s vital signs forms a basic component of care, enabling the identification of deteriorating patients and increasing the likelihood of improving patient outcomes. Several paper-based track and trigger warning scores have been developed to allow clinical evaluation of a patient and guidance on escalation protocols and frequency of monitoring. However, evidence suggests that patient deterioration on hospital wards is still missed, and that patients are still falling through the safety net. Wearable sensor technology is currently undergoing huge growth, and the development of new light-weight wireless wearable sensors has enabled multiple vital signs monitoring of ward patients continuously and in real time.Areas covered: In this paper, we aim to closely examine the benefits of wearable monitoring applications that measure multiple vital signs; in the context of improving healthcare and delivery. A review of the literature was performed.Expert commentary: Findings suggest that several sensor designs are available with the potential to improve patient safety for both hospital patients and those at home. Larger clinical trials are required to ensure both diagnostic accuracy and usability.},
+	pages = {145--154},
+	number = {2},
+	journaltitle = {Expert Review of Medical Devices},
+	author = {Joshi, Meera and Ashrafian, Hutan and Aufegger, Lisa and Khan, Sadia and Arora, Sonal and Cooke, Graham and Darzi, Ara},
+	urldate = {2023-04-26},
+	date = {2019-02-01},
+	pmid = {30580650},
+	note = {Publisher: Taylor \& Francis
+\_eprint: https://doi.org/10.1080/17434440.2019.1563480},
+	keywords = {Continuous monitoring, hospital, patient deterioration, vital signs, ward patients, wearable sensors},
+}
+
+@article{un_observational_2021,
+	title = {Observational study on wearable biosensors and machine learning-based remote monitoring of {COVID}-19 patients},
+	volume = {11},
+	rights = {2021 The Author(s)},
+	issn = {2045-2322},
+	url = {https://www.nature.com/articles/s41598-021-82771-7},
+	doi = {10.1038/s41598-021-82771-7},
+	abstract = {Patients infected with {SARS}-{CoV}-2 may deteriorate rapidly and therefore continuous monitoring is necessary. We conducted an observational study involving patients with mild {COVID}-19 to explore the potentials of wearable biosensors and machine learning-based analysis of physiology parameters to detect clinical deterioration. Thirty-four patients (median age: 32 years; male: 52.9\%) with mild {COVID}-19 from Queen Mary Hospital were recruited. The mean National Early Warning Score 2 ({NEWS}2) were 0.59 ± 0.7. 1231 manual measurement of physiology parameters were performed during hospital stay (median 15 days). Physiology parameters obtained from wearable biosensors correlated well with manual measurement including pulse rate (r = 0.96, p {\textless} 0.0001) and oxygen saturation (r = 0.87, p {\textless} 0.0001). A machine learning-derived index reflecting overall health status, Biovitals Index ({BI}), was generated by autonomous analysis of physiology parameters, symptoms, and other medical data. Daily {BI} was linearly associated with respiratory tract viral load (p {\textless} 0.0001) and {NEWS}2 (r = 0.75, p {\textless} 0.001). {BI} was superior to {NEWS}2 in predicting clinical worsening events (sensitivity 94.1\% and specificity 88.9\%) and prolonged hospitalization (sensitivity 66.7\% and specificity 72.7\%). Wearable biosensors coupled with machine learning-derived health index allowed automated detection of clinical deterioration.},
+	pages = {4388},
+	number = {1},
+	journaltitle = {Sci Rep},
+	author = {Un, Ka-Chun and Wong, Chun-Ka and Lau, Yuk-Ming and Lee, Jeffrey Chun-Yin and Tam, Frankie Chor-Cheung and Lai, Wing-Hon and Lau, Yee-Man and Chen, Hao and Wibowo, Sandi and Zhang, Xiaozhu and Yan, Minghao and Wu, Esther and Chan, Soon-Chee and Lee, Sze-Ming and Chow, Augustine and Tong, Raymond Cheuk-Fung and Majmudar, Maulik D. and Rajput, Kuldeep Singh and Hung, Ivan Fan-Ngai and Siu, Chung-Wah},
+	urldate = {2023-04-26},
+	date = {2021-02-23},
+	langid = {english},
+	note = {Number: 1
+Publisher: Nature Publishing Group},
+	keywords = {Predictive medicine, Viral infection},
+	file = {Full Text PDF:/home/ulinja/Zotero/storage/QCVKTE57/Un et al. - 2021 - Observational study on wearable biosensors and mac.pdf:application/pdf},
+}
+
+@article{gronbaek_continuous_2023,
+	title = {Continuous monitoring is superior to manual measurements in detecting vital sign deviations in patients with {COVID}-19},
+	volume = {67},
+	issn = {1399-6576},
+	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/aas.14221},
+	doi = {10.1111/aas.14221},
+	abstract = {Background Patients admitted to the emergency care setting with {COVID}-19-infection can suffer from sudden clinical deterioration, but the extent of deviating vital signs in this group is still unclear. Wireless technology monitors patient vital signs continuously and might detect deviations earlier than intermittent measurements. The aim of this study was to determine frequency and duration of vital sign deviations using continuous monitoring compared to manual measurements. A secondary analysis was to compare deviations in patients admitted to {ICU} or having fatal outcome vs. those that were not. Methods Two wireless sensors continuously monitored ({CM}) respiratory rate ({RR}), heart rate ({HR}), and peripheral arterial oxygen saturation ({SpO}2). Frequency and duration of vital sign deviations were compared with point measurements performed by clinical staff according to regional guidelines, the National Early Warning Score ({NEWS}). Results {SpO}2 {\textless} 92\% for more than 60 min was detected in 92\% of the patients with {CM} vs. 40\% with {NEWS} (p {\textless} .00001). {RR} {\textgreater} 24 breaths per minute for more than 5 min were detected in 70\% with {CM} vs. 33\% using {NEWS} (p = .0001). {HR} ≥ 111 for more than 60 min was seen in 51\% with {CM} and 22\% with {NEWS} (p = .0002). Patients admitted to {ICU} or having fatal outcome had longer durations of {RR} {\textgreater} 24 brpm (p = .01), {RR} {\textgreater} 21 brpm (p = .01), {SpO}2 {\textless} 80\% (p = .01), and {SpO}2 {\textless} 85\% (p = .02) compared to patients that were not. Conclusion Episodes of desaturation and tachypnea in hospitalized patients with {COVID}-19 infection are common and often not detected by routine measurements.},
+	pages = {640--648},
+	number = {5},
+	journaltitle = {Acta Anaesthesiologica Scandinavica},
+	author = {Grønbæk, Katja Kjær and Rasmussen, Søren Møller and Langer, Natasha Hemicke and Vincentz, Mette and Oxbøll, Anne-Britt and Søgaard, Marlene and Awada, Hussein Nasser and Jensen, Tomas O. and Jensen, Magnus Thorsten and Sørensen, Helge B. D. and Aasvang, Eske Kvanner and Meyhoff, Christian Sylvest},
+	urldate = {2023-04-26},
+	date = {2023},
+	langid = {english},
+	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/aas.14221},
+	keywords = {continuous monitoring, {COVID}-19, deterioration, early warning score, hospital admission, patient safety},
+	file = {Full Text PDF:/home/ulinja/Zotero/storage/P9XWRWXW/Grønbæk et al. - 2023 - Continuous monitoring is superior to manual measur.pdf:application/pdf},
+}
+
+@article{downey_strengths_2017,
+	title = {Strengths and limitations of early warning scores: A systematic review and narrative synthesis},
+	volume = {76},
+	issn = {0020-7489},
+	doi = {10.1016/j.ijnurstu.2017.09.003},
+	shorttitle = {Strengths and limitations of early warning scores},
+	abstract = {Background Early warning scores are widely used to identify deteriorating patients. Whilst their ability to predict clinical outcomes has been extensively reviewed, there has been no attempt to summarise the overall strengths and limitations of these scores for patients, staff and systems. This review aims to address this gap in the literature to guide improvements for the optimization of patient safety. Methods A systematic review was conducted of {MEDLINE}®, {PubMed}, {CINAHL} and The Cochrane Library in September 2016. The citations and reference lists of selected studies were reviewed for completeness. Studies were included if they evaluated vital signs monitoring in adult human subjects. Studies regarding the paediatric population were excluded, as were studies describing the development or validation of monitoring models. A narrative synthesis of qualitative, quantitative and mixed- methods studies was undertaken. Findings 232 studies met the inclusion criteria. Twelve themes were identified from synthesis of the data: Strengths of early warning scores included their prediction value, influence on clinical outcomes, cross-specialty application, international relevance, interaction with other variables, impact on communication and opportunity for automation. Limitations included their sensitivity, the need for practitioner engagement, the need for reaction to escalation and the need for clinical judgment, and the intermittent nature of recording. Early warning scores are known to have good predictive value for patient deterioration and have been shown to improve patient outcomes across a variety of specialties and international settings. This is partly due to their facilitation of communication between healthcare workers. There is evidence that the prediction value of generic early warning scores suffers in comparison to specialty-specific scores, and that their sensitivity can be improved by the addition of other variables. They are also prone to inaccurate recording and user error, which can be partly overcome by automation. Conclusions Early warning scores provide the right language and environment for the timely escalation of patient care. They are limited by their intermittent and user-dependent nature, which can be partially overcome by automation and new continuous monitoring technologies, although clinical judgment remains paramount. © 2017 Elsevier Ltd},
+	pages = {106--119},
+	journaltitle = {International Journal of Nursing Studies},
+	author = {Downey, C.L. and Tahir, W. and Randell, R. and Brown, J.M. and Jayne, D.G.},
+	date = {2017},
+	keywords = {Early warning scores, Limitations, Strengths, Systematic review, Vital signs},
+	file = {Accepted Version:/home/ulinja/Zotero/storage/B4RXIEJI/Downey et al. - 2017 - Strengths and limitations of early warning scores.pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/C4DPHSQ6/display.html:text/html},
+}
+
+@article{eisenkraft_developing_2023,
+	title = {Developing a real-time detection tool and an early warning score using a continuous wearable multi-parameter monitor},
+	volume = {14},
+	issn = {1664-042X},
+	doi = {10.3389/fphys.2023.1138647},
+	abstract = {Background: Currently-used tools for early recognition of clinical deterioration have high sensitivity, but with low specificity and are based on infrequent measurements. We aimed to develop a pre-symptomatic and real-time detection and warning tool for potential patients’ deterioration based on multi-parameter real-time warning score ({MPRT}-{WS}). Methods: A total of more than 2 million measurements were collected, pooled, and analyzed from 521 participants, of which 361 were patients in general wards defined at high-risk for deterioration and 160 were healthy participants allocation as controls. The risk score stratification was based on cutoffs of multiple physiological parameters predefined by a panel of specialists, and included heart rate, blood oxygen saturation ({SpO}2), respiratory rate, cuffless systolic and diastolic blood pressure ({SBP} and {DBP}), body temperature, stroke volume ({SV}), cardiac output, and systemic vascular resistance ({SVR}), recorded every 5 min for a period of up to 72 h. The data was used to define the various risk levels of a real-time detection and warning tool, comparing it with the clinically-used National Early Warning Score ({NEWS}). Results: When comparing risk levels among patients using both tools, 92.6\%, 6.1\%, and 1.3\% of the readings were defined as “Low”, “Medium”, and “High” risk with {NEWS}, and 92.9\%, 6.4\%, and 0.7\%, respectively, with {MPRT}-{WS} (p = 0.863 between tools). Among the 39 patients that deteriorated, 30 patients received ‘High’ or ‘Urgent’ using the {MPRT}-{WS} (42.7 ± 49.1 h before they deteriorated), and only 6 received ‘High’ score using the {NEWS}. The main abnormal vitals for the {MPRT}-{WS} were {SpO}2, {SBP}, and {SV} for the “Urgent” risk level, {DBP}, {SVR}, and {SBP} for the “High” risk level, and {DBP}, {SpO}2, and {SVR} for the “Medium” risk level. Conclusion: As the new detection and warning tool is based on highly-frequent monitoring capabilities, it provides medical teams with timely alerts of pre-symptomatic and real-time deterioration. Copyright © 2023 Eisenkraft, Goldstein, Merin, Fons, Ishay, Nachman and Gepner.},
+	journaltitle = {Frontiers in Physiology},
+	author = {Eisenkraft, A. and Goldstein, N. and Merin, R. and Fons, M. and Ishay, A.B. and Nachman, D. and Gepner, Y.},
+	date = {2023},
+	keywords = {alarm fatigue, early warning score ({EWS}), multi-parameter monitoring, patient deterioration, pre-symptomatic detection, prevention},
+	file = {Full Text:/home/ulinja/Zotero/storage/VXWDWLNI/Eisenkraft et al. - 2023 - Developing a real-time detection tool and an early.pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/TJCUTVMT/display.html:text/html},
+}
+
+@article{lee_all-day_2020,
+	title = {All-day mobile healthcare monitoring system based on heterogeneous stretchable sensors for medical emergency},
+	volume = {67},
+	issn = {0278-0046},
+	doi = {10.1109/TIE.2019.2950842},
+	abstract = {Epidermal and wearable electronic sensor technologies have gained extensive interest in recent years owing to deliver real-time healthcare information to the personalized smartphone. Herein, we proposed a fully integrated wearable smart patch-based sensor system with Kirigami-inspired strain-free deformable structures having temperature and humidity sensors along with a commercial acceleration sensor. The presented fully integrated wearable sensor system easily attaches to the skin to accurately determine the body information, and integrated circuit including read-out circuit and wireless communication transfer medical information (temperature, humidity, and motion) to mobile phone to assist with emergencies due to 'unpredictable' deviations and to aid in medical checkups for vulnerable patients. This article addresses the challenge of all-day continuous monitoring of human body biological signals by introducing the well-equipped breathable (water permeability 80 gm-1 h-1), excellent adhesion to the skin (peel strength {\textless} 200 gf/12 mm), biocompatible, and conformable smart patch that can absorb the moisture (sweat) generated from the skin without any harshness and allowing the users' to continuously monitor the early detection of diagnosis. Furthermore, the proposed patch-based medical device enables wireless sensing capabilities in response to rapid variation, equipped with a customized circuit design, low-power Bluetooth module, and a signal processing integrated circuit mounted on a flexible printed circuit board. Thus, a unique platform is established for multifunctional sensors to interface with hard electronics, providing emerging opportunities in the biomedical field as well as Internet-of-Things applications. © 1982-2012 {IEEE}.},
+	pages = {8808--8816},
+	number = {10},
+	journaltitle = {{IEEE} Transactions on Industrial Electronics},
+	author = {Lee, S. and Gandla, S. and Naqi, M. and Jung, U. and Youn, H. and Pyun, D. and Rhee, Y. and Kang, S. and Kwon, H.-J. and Kim, H. and Lee, M.G. and Kim, S.},
+	date = {2020},
+	keywords = {Flexible printed circuit board ({FPCB}), kirigami-serpentine heterogeneous structure, smart patch device, water permeable, wearable},
+	file = {Full Text:/home/ulinja/Zotero/storage/W38FIN5E/Lee et al. - 2020 - All-day mobile healthcare monitoring system based .pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/4GFD9BEF/display.html:text/html},
+}
+
+@inproceedings{yeri_iot_2020-3,
+	title = {{IoT} based Real Time Health Monitoring},
+	doi = {10.1109/ICIRCA48905.2020.9183194},
+	abstract = {Conventional sensor based diagnosis in medial field requires more number of sensors and human efforts if it is processed in a large scale. It is a difficult task due to the shortage of medical professionals and system setup. To overcome this issue an {IoT} based health care application is proposed in the research work. The proposed system consists of the web and mobile application based on continuous wireless monitoring of patients. The objective is paper is to implement a low-cost system and transmit the patient vital signs in emergency situations. Sensors are being used for measuring the patient vital signs by using the wireless network. The sensors data are collected and transmitted to the cloud for storage via Wi-Fi module connected with the controller. The data is processed in the cloud and feedback steps are taken on the analysed data which can be further analysed by a doctor remotely. Remote viewing reduces burden to doctors and provides the exact health status of patients. If the patient needs urgent attention then a message is sent to the doctor.},
+	eventtitle = {2020 Second International Conference on Inventive Research in Computing Applications ({ICIRCA})},
+	pages = {980--984},
+	booktitle = {2020 Second International Conference on Inventive Research in Computing Applications ({ICIRCA})},
+	author = {Yeri, Vani and Shubhangi, D.C.},
+	date = {2020-07},
+	keywords = {Arduino, Cloud computing, Health, {IoT}, Medical services, monitoring, Monitoring, patient, sensor, Temperature measurement, Temperature sensors, wireless, Wireless communication, Wireless sensor networks},
+	file = {IEEE Xplore Abstract Record:/home/ulinja/Zotero/storage/I86F2Q3I/9183194.html:text/html;IEEE Xplore Full Text PDF:/home/ulinja/Zotero/storage/FS73U9GZ/Yeri and Shubhangi - 2020 - IoT based Real Time Health Monitoring.pdf:application/pdf},
+}
+
+@article{thippeswamy_prototype_2021,
+	title = {Prototype development of continuous remote monitoring of {ICU} patients at home},
+	volume = {20},
+	issn = {1631-4670},
+	doi = {10.18280/i2m.200203},
+	abstract = {Vital signs are a group of essential body parameter, which provides the overall health state of a human body. They often play a pivotal role in accessing the overall physiological state of the human body. For patients requiring intense and continuous monitoring, especially those in an Intensive Care Unit, the essentiality to assess their vital signs regularly. Monitoring the health status of {ICU} patients becomes quite cost-effective when the same can be monitored within the comfort zone of their own house. The technique elaborated herein revolves around the fundamental idea of implementing a vital sign monitoring system that continuously assesses a patient and regularly updates the same to a centralized server system. In an event of a medical emergency, the relevant data is conveyed to the doctor via an efficient alert system, thereby ensuring safe and timely treatment to the patients. Also, as suggested the proposed design is characterized by {IoT} capability that allows real-time monitoring of the subject, thereby allowing, minimizing the human involvement in its operation. © 2021 Lavoisier. All rights reserved.},
+	pages = {79--84},
+	number = {2},
+	journaltitle = {Instrumentation Mesure Metrologie},
+	author = {Thippeswamy, V.S. and Shivakumaraswamy, P.M. and Chickaramanna, S.G. and Iyengar, V.M. and Das, A.P. and Sharma, A.},
+	date = {2021},
+	keywords = {{ECG}, Heart rate, {ICU}, Internet of things, Real-time monitoring, {SpO}2, Vital signs},
+	file = {Full Text:/home/ulinja/Zotero/storage/8XZ7QJYE/Thippeswamy et al. - 2021 - Prototype development of continuous remote monitor.pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/B7RR7ZAW/display.html:text/html},
+}
+
+@inproceedings{phaltankar_curaband_2021,
+	location = {Singapore},
+	title = {{CuraBand}: Health Monitoring and Warning System},
+	isbn = {9789811551130},
+	doi = {10.1007/978-981-15-5113-0_86},
+	series = {Advances in Intelligent Systems and Computing},
+	shorttitle = {{CuraBand}},
+	abstract = {Phaltankar, {SopanTyagi}, {KirtiPrabhu}, {MeghnaJaguste}, {PranavSahu}, {ShubhamKalbande}, {DhananjayWe} have come to an era where the hospitals have increasing needs in terms of staff members. The ratio of patients to hospital staff has increased drastically over the years. One nurse cannot continuously monitor all the patients throughout the day. Hence, there is a constant desire for devices for continuous monitoring of patients that are just shifted outside the {ICU} and are still at grave risk. This paper deals with the design and development of a smart wristband—{CuraBand}, which is a compact vital parameter monitoring device. It continually monitors the temperature, heart rate, and blood oxygen saturation level and alerts the respective authorities in case of abnormalities in the readings through an android application, thus ensuring immediate action. This project aims to provide a provision for the doctors to monitor their patients from anywhere in the world.},
+	pages = {1017--1026},
+	booktitle = {International Conference on Innovative Computing and Communications},
+	publisher = {Springer},
+	author = {Phaltankar, Sopan and Tyagi, Kirti and Prabhu, Meghna and Jaguste, Pranav and Sahu, Shubham and Kalbande, Dhananjay},
+	editor = {Gupta, Deepak and Khanna, Ashish and Bhattacharyya, Siddhartha and Hassanien, Aboul Ella and Anand, Sameer and Jaiswal, Ajay},
+	date = {2021},
+	langid = {english},
+	keywords = {Alert, Android application, Cloud computing, Health care, Internet of things, {IoT}, Vital parameters, Wristband},
+	file = {Full Text PDF:/home/ulinja/Zotero/storage/H4IPCNUM/Phaltankar et al. - 2021 - CuraBand Health Monitoring and Warning System.pdf:application/pdf},
+}
+
+@article{dagan_use_2020,
+	title = {Use of ultra-low cost fitness trackers as clinical monitors in low resource emergency departments},
+	volume = {7},
+	issn = {2383-4625},
+	doi = {10.15441/ceem.19.081},
+	abstract = {In low resource hospitals, strained staffing ratios and lack of telemetry can put patients at risk for clinical deterioration and unexpected cardiac arrest. While traditional telemetry systems can provide real-time continuous vital signs, they are too expensive for widespread use in these set-tings. At the same time, developed countries such as the United States have been increasingly utilizing remote monitoring systems to shift patient care from hospital to home. While the con-text is dramatically different, the challenge of monitoring patients in otherwise unmonitored settings is the same. At-home monitoring solutions range from highly comprehensive and expensive systems to inexpensive fitness trackers. In the field of global health, the adoption of this technology has been somewhat limited. We believe that low cost fitness trackers present an op-portunity to address the challenge of vital sign monitoring in resource-poor settings at a fraction of the cost of existing technical solutions. © 2020 The Korean Society of Emergency Medicine.},
+	pages = {144--149},
+	number = {3},
+	journaltitle = {Clinical and Experimental Emergency Medicine},
+	author = {Dagan, A. and Mechanic, O.J.},
+	date = {2020},
+	keywords = {Fitness trackers, Global health, Internet of Things, Monitoring, physiologic, Telemedicine},
+	file = {Full Text:/home/ulinja/Zotero/storage/2F69NQX4/Dagan and Mechanic - 2020 - Use of ultra-low cost fitness trackers as clinical.pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/EV9AC9P6/display.html:text/html},
+}
+
+@inproceedings{anzanpour_internet_2015-1,
+	title = {Internet of things enabled in-home health monitoring system using early warning score},
+	isbn = {978-1-63190-088-4},
+	doi = {10.4108/eai.14-10-2015.2261616},
+	abstract = {Early warning score ({EWS}) is an approach to detect the deterioration of a patient. It is based on a fact that there are several changes in the physiological parameters prior a clinical deterioration of a patient. Currently, {EWS} procedure is mostly used for in-hospital clinical cases and is performed in a manual paper-based fashion. In this paper, we propose an automated {EWS} health monitoring system to intelligently monitor vital signs and prevent health deterioration for in-home patients using Internet-of-Things ({IoT}) technologies. {IoT} enables our solution to provide a real-Time 24/7 service for health professionals to remotely monitor inhome patients via Internet and receive notifications in case of emergency. We also demonstrate a proof-of-concept {EWS} system where continuous reading, transferring, recording, and processing of vital signs have been implemented. Copyright © 2015 {ICST}.},
+	eventtitle = {{MOBIHEALTH} 2015 - 5th {EAI} International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare through Innovations in Mobile and Wireless Technologies},
+	author = {Anzanpour, A. and Rahmani, A.-M. and Liljeberg, P. and Tenhunen, H.},
+	date = {2015},
+	keywords = {Body Area Network, {EarlyWarning} Score, Internet of Things, Remote Patient Monitoring, Wearable electronics, Wireless Sensor Network},
+	file = {Full Text:/home/ulinja/Zotero/storage/37NIRLAE/Anzanpour et al. - 2015 - Internet of things enabled in-home health monitori.pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/BSQHA7RC/display.html:text/html},
+}
+
+@article{imtyaz_ahmed_secure_2022,
+	title = {Secure and lightweight privacy preserving Internet of things integration for remote patient monitoring},
+	volume = {34},
+	issn = {1319-1578},
+	doi = {10.1016/j.jksuci.2021.07.016},
+	abstract = {The present article throws light on advancement in {ICTs}. It is an evident that highly intelligent and smart {IoT} based use cases are possible with the advent in {ICTs} like Internet of Things, 5G Cellular Technology and Cyber- Physical Systems ({CPS}). For an instance, people spend considerable amount of their earning towards health in the present scenario. In view of this, there is high- impact- on society use case in Healthcare as {IoT} enables Ambient Assisted Living ({AAL}), Mobile Health ({mHealth}) and Electronic Health ({eHealth}). The conventional healthcare services are prone to delay, wastage of time and money, besides causing death of people. With intelligence and prediction capabilities of {IoT}, Remote Patient Monitoring ({RPM}) on regular basis (home/office/in-hospital), for those who deliberately need it, can be exploited to overcome challenges thrown by conventional healthcare units. {IoT} based {RPM} with wearable devices, sensor network and other digital infrastructure form an early warning system for impending emergencies that lead to severe health issues and even death of patients is left untreated or even treatment is delayed. It is proposed that a secure and privacy preserving {IoT} integration with healthcare units for realizing a reliable, available and secure {RPM} system at the conclusion. The proposed system provides secure {RFID} based authentication, end-to-end secure communications and privacy protection. The system includes {MOTO} 360 watch (biosensor {\textbar} body sensor) with Android wearable {OS}, server with {REST} framework and a smart phone application to monitor and detect fall, blood pressure and heart rate. This motivating scenario is enriched with security and privacy. The empirical evaluation revealed that the proposed {RPM} has potential to help improve quality of life and healthcare services © 2021 The Authors},
+	pages = {6895--6908},
+	number = {9},
+	journaltitle = {Journal of King Saud University - Computer and Information Sciences},
+	author = {Imtyaz Ahmed, M. and Kannan, G.},
+	date = {2022},
+	keywords = {Biosensors, Healthcare, Internet of Things, Privacy, Remote patient monitoring, Security},
+	file = {Full Text:/home/ulinja/Zotero/storage/6ZW7G4RL/Imtyaz Ahmed and Kannan - 2022 - Secure and lightweight privacy preserving Internet.pdf:application/pdf;Snapshot:/home/ulinja/Zotero/storage/EFJRSHJQ/display.html:text/html},
+}
+
+@article{pahlevanynejad_personalized_2023,
+	title = {Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges},
+	volume = {2023},
+	issn = {1687-6415},
+	doi = {10.1155/2023/5390712},
+	shorttitle = {Personalized Mobile Health for Elderly Home Care},
+	abstract = {Mobile health as one of the new technologies can be a proper solution to support care provision for the elderly and provide personalized care for them. This study is aimed at reviewing the benefits and challenges of personalized mobile health ({PMH}) for elderly home care. With a systematic review methodology, 1895 records were retrieved by searching four databases. After removing duplicates, 1703 articles remained. Following full-Text examination, 21 articles that met the inclusion criteria were studied in detail, and the output was presented in different tables. The results indicated that 25\% of the challenges were related to privacy, cybersecurity, and data ownership (10\%), technology (7.5\%), and implementation (7.5\%). The most frequent benefits were related to cost-saving (17.5\%), nurse engagement improvement (10\%), and caregiver stress reduction (7.5\%). In general, the number of benefits in this study was slightly higher than the challenges, but in order to use {PMH} technologies, the challenges presented in this study must be carefully considered and a suitable solution must be adopted. Benefits can also be helpful in persuading individuals and health-care providers. This study shed light on those points that need to be highlighted for further work in order to convert the challenges toward benefits. © 2023 Shahrbanoo Pahlevanynejad et al.},
+	journaltitle = {International Journal of Telemedicine and Applications},
+	author = {Pahlevanynejad, S. and Niakan Kalhori, S.R. and Katigari, M.R. and Eshpala, R.H.},
+	date = {2023},
+	file = {Full Text:/home/ulinja/Zotero/storage/MTKHYSAJ/Pahlevanynejad et al. - 2023 - Personalized Mobile Health for Elderly Home Care .pdf:application/pdf},
+}