Smart phones today have become increasingly popular with the general public for its diverse abilities like navigation, social networking, and multimedia facilities to name a few. These phones are equipped with high end processors, high resolution cameras, built-in sensors like accelerometer, orientation-sensor, light-sensor, and much more. According to comScore survey, 25.3% of US adults use smart phones in their daily lives. Motivated by the capability of smart phones and their extensive usage, I focused on utilizing them for bio-medical applications. In this thesis, I present a new application for a smart phone to quantify the vital signs such as heart rate, respiratory rate and blood pressure with the help of its built-in sensors. Using the camera and a microphone, I have shown how the blood pressure and heart rate can be determined for a subject. People sometimes encounter minor situations like fainting or fatal accidents like car crash at unexpected times and places. It would be useful to have a device which can measure all vital signs in such an event. The second part of this thesis demonstrates a new mode of communication for next generation 9-1-1 calls. In this new architecture, the call-taker will be able to control the multimedia elements in the phone from a remote location. This would help the call-taker or first responder to have a better control over the situation. Transmission of the vital signs measured using the smart phone can be a life saver in critical situations. In today's voice oriented 9-1-1 calls, the dispatcher first collects critical information (e.g., location, call-back number) from caller, and assesses the situation. Meanwhile, the dispatchers constantly face a "60-second dilemma"; i.e., within 60 seconds, they need to make a complicated but important decision, whether to dispatch and, if so, what to dispatch. The dispatchers often feel that they lack sufficient information to make a confident dispatch decision. This remote-media-control described in this system will be able to facilitate information acquisition and decision-making in emergency situations within the 60-second response window in 9-1-1 calls using new multimedia technologies.

El presente trabajo de investigación se realizó sobre la base de proceso de monitoreo de pacientes con alzhéimer. Para ello, se recopilaron diversas fuentes como testimonios de pacientes y familiares que permitieron identificar las tareas recurrentes en este proceso y los recursos asociados. En el análisis del proceso de monitoreo, se identificó problemas relacionados a los tiempos y costos que se generan. Asimismo, se identificó los signos vitales del paciente que son monitoreados con mayor frecuencia y las personas que intervienen en el monitoreo, los cuales son: cuidador y médico. Por otra parte, se realizo una investigación de las tecnologías que se usan actualmente para el monitoreo. En dichos estudios se establecen los mecanismos de supervisión del paciente; sin embargo, estos no brindan la información suficiente sobre el estado de salud del paciente. Después del análisis del proceso de monitoreo, se realizó una investigación adicional para determinar qué tipo de tecnologías permitiría optimizar este proceso. Asimismo, se definieron las variables de medición para identificar el impacto de la tecnología usada. Con la finalidad de obtener un resultado certero, se recurrió a cuidadores y médicos para saber la percepción respecto a la propuesta. / The present research work was carried out on the basis of the monitoring process of patients with Alzheimer's. For this, various sources were compiled such as testimonies from patients and relatives that made it possible to identify the recurring tasks in this process and the associated resources. In the analysis of the monitoring process, problems related to the times and costs generated were identified. Likewise, the vital signs of the patient that are monitored more frequently and the people involved in the monitoring were identified, which are: caregiver and doctor. On the other hand, an investigation of the technologies that are currently used for monitoring was carried out. In these studies, the mechanisms for patient supervision are established; however, these do not provide sufficient information on the patient's health status. After analyzing the monitoring process, additional research was conducted to determine what type of technologies would allow this process to be optimized. Likewise, the measurement variables were defined to identify the impact of the technology used. In order to obtain an accurate result, a survey was conducted with caregivers and doctors to find out their perception of the proposal. / Trabajo de investigación

Indiana University-Purdue University Indianapolis (IUPUI) / BACKGROUND: The pathophysiology of diabetes mellitus and the need for vigilant monitoring of serum glucose levels lends itself well to prompt medical intervention by healthcare providers that can significantly reduce morbidity and mortality and improve patient quality of life. The effect of intervention in diabetes can be assessed by following objective laboratory measurements such as hemoglobin A1C, which is abnormal with poorly controlled diabetes and returns to normal with proper management. There are mobile technologies now available that allow for self-monitoring and intervention in this patient population. Using a systematic approach this paper will assess the benefits of Short Message Services and mobile technology in managing patients with diabetes and improving adherence and other outcomes. OBJECTIVE: To assess the benefits and disadvantages the use of mobile technology could have in the management of diabetes. METHODOLOGY: A systematic review of articles on this topic was performed. A total of 759 articles were initially identified by searching various search engines, from which only 39 articles met all of the inclusion/exclusion criteria of this systematic review. FINDINGS: The initial review of literature indicated that the use of mobile technology in patients with diabetes resulted in improved disease outcomes as indicated by parameters such as a decrease in hemoglobin A1C, and an increase in sustainable blood glucose levels. CONCLUSION: Mobile technology is found to be a promising tool in the management of diabetes, but further research is needed because there is a lack of reliable studies, trials, and systematic reviews. Physicians and other healthcare professionals are rapidly adopting mobile technology for use in clinical practice because they understand the rising phenomenon of mobile technology.

Chronic cardiovascular disease (CVD) is increasingly becoming a burden for global healthcare systems. This burden can be attributed in part to traditional methods of managing CVD in an aging population that involves periodic meetings between the patient and their healthcare provider. There is growing interest in developing continuous monitoring systems to assist in the management of CVD. Monitoring systems can utilize advances in wearable devices and health records, which provides minimally invasive methods to monitor a patient’s health. Despite these advances, the algorithms deployed to automatically analyze the wearable sensor and health data is considered too computationally expensive to run on the mobile device. Instead, current mobile devices continuously transmit the collected data to a server for analysis at great computational and data transmission expense. In this thesis a novel mobile system designed for monitoring CVD is presented. Unlike existing systems, the proposed system allows for the continuous monitoring of physiological sensors, data from a patient’s health record and analysis of the data directly on the mobile device using machine learning algorithms (MLA) to predict an individual’s CVD severity level. The system successfully demonstrated that a mobile device can act as a complete monitoring system without requiring constant communication with a server. A comparative analysis between the support vector machine (SVM) and multilayer perceptron (MLP) to explore the effectiveness of each algorithm for monitoring CVD is also discussed. Both models were able to classify CVD risk with the SVM achieving the highest accuracy (63%) and specificity (76%). Finally, unlike current systems the resource requirements for each component in the system was evaluated. The MLP was found to be more efficient when running on the mobile device compared to the SVM. The results of thesis also show that the MLAs complexity was not a barrier to deployment on a mobile device. / Thesis / Master of Applied Science (MASc) / In this thesis, a novel mobile system for monitoring cardiovascular (CVD) disease is presented. The system allows for the continuous monitoring of both physiological sensors, data from a patient’s health record and analysis of the data directly on the mobile device using machine learning algorithms (MLA) to predict an individual’s CVD severity level. The system successfully demonstrated that a mobile device can act as a complete monitoring system without requiring constant communication with a remote server. A comparative analysis between the support vector machine (SVM) and multilayer perceptron (MLP) to explore the effectiveness of each MLA for monitoring CVD is also discussed. Both models were able to classify CVD severity with the SVM achieving the highest accuracy (63%) and specificity (76%). Finally, the resource requirements for each component in the system were evaluated. The results show that the MLAs complexity was not a barrier to deployment on a mobile device.

First part of this thesis presents the design, validation, and implementation of an Orthogonal Frequency Division Multiplexing (OFDM) transmitter and receiver on a Cyclone II FPGA chip using DSP builder and Quartus II high level design tools. The resources in terms of logical elements (LE) including combinational functions and logic registers allocated by the model have been investigated and addressed. The result shows that implementing the basic OFDM transceiver allocates about 14% (equivalent to 6% at transmitter and 8% at receiver) of the available LE resources on an Altera Cyclone II EP2C35F672C6 FPGA chip, largely taken up by the FFT, IFFT and soft decision encoder. Secondly, a new wavelet-based OFDM system based on FDPP-DA based channel estimation is proposed as a reliable ECG Patient Monitoring System, a Personal Wireless telemedicine application. The system performance for different wavelet mothers has been investigated. The effects of AWGN and multipath Rayleigh fading channels have also been studied in the analysis. The performances of FDPP-DA and HDPP-DA-based channel estimations are compared based on both DFT-based OFDM and wavelet-based OFDM systems. The system model was studied using MATLAB software in which the average BER was addressed for randomized data. The main error differences that reflect the quality of the received ECG signals between the reconstructed and original ECG signals are established. Finally a DA-based architecture for 1-D iDWT/DWT based on an OFDM model is implemented for an ECG-PMS wireless telemedicine application. In the portable wireless body transmitter unit at the patient site, a fully Serial-DA-based scheme for iDWT is realized to support higher hardware utilization and lower power consumption; whereas a fully Parallel-DA-based scheme for DWT is applied at the base unit of the hospital site to support a higher throughput. It should be noted that the behavioural level of HDL models of the proposed system was developed and implemented to confirm its correctness in simulation. Then, after the simulation process the design models were synthesised and implemented for the target FPGA to confirm their validation.

The lack of digital and easily accessible information for home hemodialysis patients leads to a disinclination of using the provided manuals. This problem could potentially be solved with a user-friendly app, where all information and communication with the healthcare providers could take place. Hence, leading to them feeling better prepared to take charge of their own treatment. The purpose of this thesis is to provide a minimum viable product of a mobile application to facilitate treatment for home hemodialysis patients. The app was developed using the programming language SwiftUI. Information was collected from patients with home hemodialysis treatment through interviews conducted in their homes.  The mobile application enables patients to access the manual and failure identification codes through a search bar. It also provides digital checklists, dialysis protocol and symptom follow-up. The healthcare providers can then access the dialysis protocol and symptom follow-up through remote patient monitoring. A chat function allows patients to contact nurses. The mobile application fulfills the clients’ requests and with additional work it could be fully operational. / Bristen på digital och lättåtkomlig information för patienter med hemhemodialys leder till en ovilja att använda manualer och felkoder. En lösning på detta problem skulle kunna vara att utveckla en användarvänlig app som innehåller all nödvändig information, samt ett kommunikationsverktyg mellan patient och vårdpersonal. Syftet med detta examensarbete är att skapa en minsta gångbar produkt i form av en app för att underlätta behandlingen för patienter med hemhemodialys. Appen utvecklades med programmeringsspråket SwiftUI. Information hämtades från patienter genom utförda hemintervjuer.  Den mobila applikationen ger patienter åtkomst till manualen samt felkoderna genom en sökruta. Den innehåller även digitala checklistor, dialysprotokoll och symtomuppföljning. Vårdpersonal kan genom appen få tillgång till patienters dialysprotokoll och symtomuppföljning genom fjärrövervakning. Via chatten kan patienter kontakta sjukvårdspersonal. Applikationen uppfyller uppdragsgivarens önskemål om funktionaliteter. Om fortsatt arbete genomförs kan appen användas för att ge patienterna stöd i sin egenvård. / Nej

[pt] Estimativas informam que 80 por cento a 99 por cento dos alarmes disparados em unidades hospitalares são falsos ou clinicamente insignificantes, representando uma cacofonia de sons que não apresenta perigo real aos pacientes. Estes falsos alertas podem culminar em uma sobrecarga de alertas que leva um profissional da saúde a perder eventos importantes que podem ser prejudiciais aos pacientes ou até mesmo fatais. À medida que as unidades de saúde se tornam mais dependentes de dispositivos de monitoramento que acionam alarmes, o problema da fadiga de alarme deve ser tratado como uma das principais questões, a fim de prevenir a sobrecarga de alarme para os profissionais da saúde e aumentar a segurança do paciente. O principal objetivo desta tese é propor uma solução para o problema de fadiga de alarme usando um mecanismo de raciocínio automático para decidir como notificar os membros da equipe de saúde. Nossos objetivos específicos são: reduzir o número de notificações enviadas à equipe de cuidadores; detectar alarmes falsos com base em informações de contexto do alarme; decidir o melhor cuidador a quem uma notificação deve ser atribuída. Esta tese descreve: um modelo para suportar algoritmos de raciocínio que decidem como notificar os profissionais de saúde para evitar a fadiga de alarme; uma arquitetura para sistemas de saúde que suporta recursos de monitoramento, raciocínio e notificação de pacientes; e três algoritmos de raciocínio que decidem: (i) como notificar os profissionais de saúde decidindo quando agrupar um conjunto de alarmes; (ii) se deve ou não notificar os profissionais de saúde com uma indicação de probabilidade de falso alarme; (iii) quem é o melhor cuidador a ser notificado considerando um grupo de cuidadores. Experimentos foram realizados para demonstrar que, ao fornecer um sistema de raciocínio que agrupa alarmes semelhantes e recorrentes, pode-se reduzir o total de notificações recebidas pelos cuidadores em até 99.3 por cento do total de alarmes gerados, sem perda de informação útil. Esses experimentos foram avaliados através do uso de um conjunto de dados reais de monitoramento de sinais vitais de pacientes registrados durante 32 casos cirúrgicos nos quais os pacientes foram submetidos à anestesia, no hospital Royal Adelaide. Apresentamos os resultados desse algoritmo através de gráficos gerados na linguagem R, onde mostramos se o algoritmo decidiu emitir um alarme imediatamente ou após um determinado delay. Para a tarefa de atribuição de notificações realizada pelo nosso algoritmo de raciocínio que decide sobre qual cuidador notificar, também alcançamos nossos resultados esperados, uma vez que o algoritmo priorizou o cuidador que estava disponível no momento do alarme, além de ser o mais experiente e capaz de atender à notificação. Os resultados experimentais sugerem fortemente que nossos algoritmos de raciocínio são uma estratégia útil para evitar a fadiga de alarme. Embora tenhamos avaliado nossos algoritmos em um ambiente experimental, tentamos reproduzir o contexto de um ambiente clínico utilizando dados reais de pacientes. Como trabalho futuro, visamos avaliar os resultados de nossos algoritmos utilizando condições clínicas mais realistas, aumentando, por exemplo, o número de pacientes, os parâmetros de monitoramento e os tipos de alarme. / [en] Estimates show that 80 per cent to 99 per cent of alarms set off in hospital units are false or clinically insignificant, representing a cacophony of sounds that do not present a real danger to patients. These false alarms can lead to an alert overload that causes a health care provider to miss important events that could be harmful or even life-threatening. As health care units become more dependent on monitoring devices for patient care purposes, the alarm fatigue issue has to be addressed as a major concern in order to prevent healthcare providers from undergoing alarm burden, as well as to increase patient safety. The main goal of this thesis is to propose a solution for the alarm fatigue problem by using an automatic reasoning mechanism to decide how to notify members of the health care team. Our specific goals are: to reduce the number of notifications sent to caregivers; to detect false alarms based on alarm-context information; to decide the best caregiver to whom a notification should be assigned. This thesis describes: a model to support reasoning algorithms that decide how to notify caregivers in order to avoid alarm fatigue; an architecture for health systems that supports patient monitoring, reasoning and notification capabilities; and three reasoning algorithms that decide: (i) how to notify caregivers by deciding whether to aggregate a group of alarms; (ii) whether, or not, to notify caregivers with an indication of a false alarm probability; (iii) who is the best caregiver to notify considering a group of caregivers. Experiments were used to demonstrate that by providing a reasoning system that aggregates alarms we can reduce the total of notifications received by the caregivers by up to 99.3 per cent of the total alarms generated. These experiments were evaluated through the use of a dataset comprising real patient monitoring data and vital signs recorded during 32 surgical cases where patients underwent anesthesia at the Royal Adelaide Hospital. We present the results of this algorithm by using graphs generated with the R language, which show whether the algorithm decided to deliver an alarm immediately or after a given delay. We also achieved the expected results for our reasoning algorithm that handles the notifications assignment task, since the algorithm prioritized the caregiver that was available and was the most experienced and capable of attending to the notification. The experimental results strongly suggest that our reasoning algorithms are a useful strategy to avoid alarm fatigue. Although we evaluated our algorithms in an experimental environment, we tried to reproduce the context of a clinical environment by using real-world patient data. As future work, we aim to evaluate our algorithms using more realistic clinical conditions by increasing, for example, the number of patients, monitoring parameters, and types of alarm.

Patient monitoring equipment is evolving from smaller, less complex, installation systems to- wards large, complex, systems that require much resources. This led to the development of a new installation procedure involving a so called Delivery Center (DC). Introducing the DC instal- lation procedure affects all stakeholders, and this thesis aimed to assess how the DC installation procedure was perceived by those involved in it. It also investigated if there existed groupings among the participants who share points of views, and whether or not the DC should be kept. The study used Q-Methodology in order to retrieve opinions among employees at Philips who were involved in the installation of Philips patient monitoring equipment at New Karolinska Solna Phase 4. This study has shown that all involved persons to the DC installation procedure are positive to it. Although significant differences has been shown within the studied group, a positive atti- tude towards the concept of the DC has been found. The specific areas of quality management, environmental aspects, the work environment and the efficiency and utilizations of resources have been addressed. This study has also shown that within the participants of this study there exists three distinct groupings based on their opinions. The groups focuses respectively on processes, project planning and on the work environment. These groupings are shown to all have their own characteristics. Understanding them and taking them into consideration can likely make all participants more positive towards a future DC, and could also potentially make it even more efficient. The results shows that from the perspective of the involved stakeholders, a future DC should be kept, and it has also shown a number of areas where there is room for improvement. / Patientmonitoreringsutrustning håller på att utvecklas från mindre, låg-komplexa installation- ssystem mot större, komplexare, system som kräver mycket resurser. Detta har lett till utvecklin- gen av ett nytt installationsförfarande som involverar ett så kallat leveranscenter. Introduktionen av en leveranscenter-baserat installationsförfarande påverkar alla inblandade, och detta exam- ensarbete ämnade att utvärdera hur det leveranscenter-baserade installationsförfarandet upp- fattades av de involverade. Det undersökte också om det existerade grupper bland deltagarna som delar åsikter, och undersökte huruvida leveranscentret borde behållas. Arbetet använde Q-Methodology för att samla in åsikter bland alla de anstälda på Philips som var involverade i installationen av Philips patientmonitoreringsutrustning vid Nya Karolinska Solnas fas 4. Denna studie har visat att alla involverade personer i det leveranscenter-baserade installa- tionsförfarande är positivt inställda till det. Även om signifikanta skillnader bland de studerade grupperna har uppfattats, har en positiv attityd gentemot konceptet med leveranscentret hittats. De specifika områdena kvalitetshantering, miljöpåverkan, arbetsmiljö och effektivitet och uttnyt- jande av resurser har adresserats. Denna studie har också visat att det bland studiedeltagarna finns tre distinkta grupper baserat på åsikter. Grupperna fokuserar på processer, projektplaner- ing och arbetsmiljö. Grupparna har uppvisat egna karaktärsdrag. Förståelse för grupperna och att beakta dem kan troligen göra alla deltagarna än mer positiva gentemot ett framtida lever- anscenter, och även göra det effektivare. Resultaten visar att utifrån deltagarnas perspektiv att ett framtida leveranscenter bör behållas, och det visar även att det finns ett antal områden där det finns utvecklingspotential.

The master thesis is a prototyping project of a wireless body area network (WBANs) for patient monitoring in hospitals. The goal of this project was to study various technologies suitable for wireless body area networks, complete a requirement analysis, design a WBAN suitable to achieve the requirements and to test and evaluate the system against the requirements. Seven sensor end nodes are chosen to monitor seven vital signs for patient monitoring. After studying different technologies suitable for WBANs, IEEE 802.15.4j was chosen because it communicates in a special allocation of medical spectrum of 2360 to 2400MHz. A coordinator or master will be the center of the network using a star topology. Due to certain limitations in the firmware of the NXP FRDMKW40Z, IEEE 802.15.4j had to be dropped and IEEE 802.15.4 was the final chosen technology because the only difference between IEEE 802.15.4j and IEEE802.15.4 is the difference in the physical layer, while the developed application remains the same, making the shift back to IEEE802.15.4j, in the future, simple. There have been several projects working on the same idea with IEEE 802.15.4, but they do not combine multiple sensors to form a network and the total throughput requirements for this thesis project are much higher. The beacon mode and the non-beacon mode of IEEE 802.15.4 are studied. Non beacon mode is unpredictable due to the use of carrier sense multiple access with collision avoidance (CSMA/CA) to access the medium. When multiple end nodes compete to get access to the medium, unreliability is introduced into the system. In the beacon mode, because of the slotted CSMA access of sixteen equally spaced time slots for communication, there is a restriction of the size of a time slot and thus, the high throughput requirement of the system is not met. The solution proposed in the thesis project is to develop a custom time slot system in the non-beacon mode, where each end node is granted a reserved time slot of a specific length as required by the end node. There is a timer mechanism which makes sure that the time slots for each device maintain the time limit on the time slot, on the side of the main master/coordinator of the network and on the side of the end node. The protocol for an end node to join a personal area network (PAN) is called as the association process. The association process enables the end node to be a part of a PAN to exchange its sensor data. Traditionally, in IEEE 802.15.4, the end nodes scan the sixteen IEEE 802.15.4 channels and when an appropriate coordinator is found, the end node initiates the association process with the coordinator. The solution proposed for the formation of the network by the association process is to use two different technologies. The end nodes and the coordinator exchange information using near field communication (NFC) technology by a simple tapping mechanism. The end node has an active NFC tag while the coordinator has an NFC reader. During the tap between the two devices, first the coordinator reads the end node data from the active tag. This data is required to form the custom time slot. Next the coordinator writes all association information into the active tag. After the NFC data exchange is done, the end node initiates the traditional IEEE 802.15.4 association protocol to join the coordinator’s PAN. Similarly after seven end nodes are associated to the coordinator, the network begins to function. All the end nodes communicate their data to the coordinator. The coordinator collects all the sensor data from the seven end nodes and may send the cumulative sensor data to the backend database servers which may be viewed by the medical authorities, this part is not included in the current version of the project. Several tests are run on this system to evaluate the requirements of latency, throughput and quality of service with two different ranges of 20cm and 250cm. The latency of association between the coordinator and end node is 632ms. The required throughput is met by the network. The packet delivery rate of the system is always above 99%. The graphs for packet delivery rates for all the sensors with a range of 20cm and 250 cm are shown in the appendices. The probabilities for the packet delivery rates greater than 90%, 99%, 99.9% and 99.99% are also graphically shown using a normal distribution in the appendices.

Under detta examensarbete har en lösning framtagits som underlättar distansmonitorering av patienter. Då olika medicinska produkter skickar data till sina egna plattformar blir det krångligt för både patienten och vårdgivaren att ta fram och hålla koll på alla vitalparametrar som tas. Därför har en gemensam plattform, LinkWatch, utvecklats. Idag kan flera vitalparametrar mätas och ses i plattformen. En säker och effektiv dataöverföring mellan en blodsockermätare och LinkWatchs webbserver har gjorts för att utöka funktionaliteten på LinkWatch. Målet med projektet var att integrera en blodsockermätare med LinkWatch. Arbetet har utförts i programmeringsspråken Kotlin och Swift. För att få kunskap om dataöverföringen söktes information om bland annat standarden FHIR, Bluetooth Low Energy samt tidigare arbeten. Resultatet av arbetet är två applikationer, en för iOS och en för Android. Mobilapplikationerna kan koppla sig till blodsockermätaren via Bluetooth, överföra dess värden till mobilen samt skicka dessa till LinkWatchs webbserver. Applikationerna har enkla användargränssnitt och enkla layouter för att underlätta patientens användning av applikationerna. Använder patienten LinkWatch, kan patienten se sitt blodsockervärde tillsammans med andra vitalparametrar och på så sätt få en bra överblick över sin hälsa. Projektet är positivt för diabetiker och andra som är intresserade av hälsa. Tack vare den användarvänliga plattformen och mångsidigheten av LinkWatch, kan användare enklare kunna hålla koll på sitt blodsockervärde och göra livsviktiga åtgärder vid uppkomst av symtom. Vidare kan även vårdgivare ta del av information som LinkWatch lämnar ut för att exempelvis se trender i patientens blodsockervärden. Fördelarna med att dela data med vårdgivaren är bland annat reducerade kostnader och ökad trygghet hos patienterna. / During this project, a solution has been developed that promotes remote patient monitoring. As different medical products send data to their own platforms, it becomes troublesome for both the patient and the care provider to take and keep track of all the vital parameters. Hence a common platform, LinkWatch, has been developed. LinkWatch is a platform where all the patient's medical signs can be seen. To increase the functionality of LinkWatch, a secure and efficient data transfer between a blood glucose meter and LinkWatch’s web server has been established. The goal of this project was to integrate a blood glucose meter with LinkWatch. The programming languages Kotlin and Swift were used to develop the mobile applications. To gain knowledge about the data transfer, research was done to obtain information about the FHIR standard, Bluetooth Low Energy and previous work in the field. The results of the project are two applications, one for iOS and one for Android. The mobile applications can connect to the blood glucose meter with Bluetooth, transfer its values to the mobile phone and send these to LinkWatch’s web server. When the records are in LinkWatch’s system, the patient is able to see their glucose levels along with other vital parameters. This project will have a major impact on patients with diabetes and others who are interested in health. Thanks to the user-friendly platform and the flexibility of LinkWatch, users of the application will be able to more easily keep track of their blood sugar value and take early action in the event of symptoms. Furthermore, health care providers can also take part in information that LinkWatch will provide, for example see trends in the patient's blood sugar values. The benefits with sharing data with the health care providers are cost reductions and increased patient satisfaction.