El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In this paper, we proposed a wearable technology model to control and monitor hypertension during pregnancy. We enhanced prior models by adding a series of health parameters that could potentially prevent and correct hypertension disorders in pregnancy. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. In this process, we also assessed the current technologies and systems applications offered in the market. The model consists of four phases: 1. The health parameters of the patient are collected through a wearable device; 2. The data is received by a mobile application; 3. The data is stored in a cloud database; 4. The data is analyzed on real-time using a data analytics application. The model was validated and piloted in a public hospital in Lima, Peru. The preliminary results showed an increased-on number of controlled patients by 11% and a reduction of maternal deaths by 7%, among other relevant health factors that allowed healthcare providers to take corrective and preventive actions. / Revisión por pares

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In this article, we propose a wireless monitoring solution for gait parameters using low-cost sensors in the physical rehabilitation of patients with gait disorders. This solution consists of infrared speed sensors (IRSS), force-sensing Resistor (FSR) and microcontrollers placed in a walker. These sensors collect the pressure distribution on the walker's handle and the speed of the steps during therapy session. The proposal allows to improve the traditional physiotherapy session times through a mobile application to perform the monitoring controlled by a health specialist in real time. The proposed solution consists of 4 stages: 1. Obtaining gear parameters, 2. Data transmission, 3. Information Storage and 4. Data collection and processing. Solution was tested with 10 patients from a physical rehabilitation center in Lima, Peru. Preliminary results revealed a significant reduction in the rehabilitation session from 25 to 5.2 minutes. / Revisión por pares

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is an endocrine disrupting disorder affecting at least 10 percent of reproductive-aged women. In many cases, women develop comorbidities such as diabetes, cardiovascular disease, and other metabolic disorders. In North America and Europe, it takes several years and multiple doctors for women to receive a diagnosis of PCOS. This results in lost time for risk-reducing interventions. Menstrual tracking applications are one potential tool to alert women of their risk for PCOS and prompt them to seek further evaluation from a medical professional. OBJECTIVE: The objective was to develop the Irregular Cycles Feature (ICF) on the mobile phone application Clue®, which generates a probability of a user’s risk for PCOS. The secondary aim was to assess the accuracy of the tool by testing the feature on virtual test subjects. METHODS: A literature review was conducted to generate a list of signs and symptoms of PCOS. Probabilities were assigned to each variable and built into a Bayesian Network. The Irregular Cycles Feature, an adaptive questionnaire, was then developed in order to detect high-risk PCOS patients. The ICF detected at risk Clue® users through self-reported menstrual cycles and answers to medical history questions. Upon completion of the questionnaire, a Result Screen is displayed to the user. The Screen is a summary of the individual’s probability of having PCOS. For each eligible user, a Doctor’s Report is also generated. This is a screen containing information regarding menstrual irregularities and a brief medical history to be used by a medical professional in order to make a final diagnosis. Both the Result Screen and Doctor’s Report disclose information about PCOS and detailed explanations for consulting a medical provider. A brief statistical validation was then performed to compare the output of the network to predictions made by a physician-scientist using a correlation coefficient, a p-value, and a Pearson’s coefficient. RESULTS: The Irregular Cycles Feature successfully predicts probability of PCOS based on eight test cases. The correlation between the network’s calculation and the assessment made by a board-certified reproductive endocrinology/infertility physician-scientist was 0.82, with a p-value of less than 0.05. The Pearson’s coefficient was calculated to be 0.69. These values indicate that the ICF made statistically significant predictions when compared to the physician-scientist. CONCLUSIONS: The ICF provides consumer-friendly ways to improve interactions between medical providers and patients. The tool can be adapted to capture other causes of menstrual irregularities and can serve as an important mechanism for drawing attention to potentially hazardous health problems. Further validation studies will be conducted to confirm the utility of the ICF with Clue® users, particularly amongst those who receive an official diagnosis from a medical professional. / 2020-06-17T00:00:00Z

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / In this article, a technological solution is proposed to identify and reduce the level of mental stress of a person through a wearable device. The proposal identifies a physiological variable: Heart rate, through the integration between a wearable and a mobile application through text recognition using the back camera of a smartphone. As part of the process, the technological solution shows a list of guidelines depending on the level of stress obtained in a given time. Once completed, it can be measured again in order to confirm the evolution of your stress level. This proposal allows the patient to keep his stress level under control in an effective and accessible way in real time. The proposal consists of four phases: 1. Collection of parameters through the wearable; 2. Data reception by the mobile application; 3. Data storage in a cloud environment and 4. Data collection and processing; this last phase is divided into 4 sub-phases: 4.1. Stress level analysis, 4.2. Recommendations to decrease the level obtained, 4.3. Comparison between measurements and 4.4. Measurement history per day. The proposal was validated in a workplace with people from 20 to 35 years old located in Lima, Peru. Preliminary results showed that 80% of patients managed to reduce their stress level with the proposed solution. / Revisión por pares

The importance that physical movement holds for people’s health is not up for debate. Staying active can alleviate a lot of symptoms, both physical and mental, that occur in both young and old, due to a sedentary lifestyle or to aging. Because of the way the society is developing, more and more people suffer from a sedentary lifestyle. Among all age groups, the older people have an especially high risk for negative side effects of too much sedentary time. The World Health Organization encourages countries to help combat the sedentary lifestyles and motivate people to exercise more. In their efforts to make sure people across countries have access to health information they also encourage the development of digital health tools and the use of eHealth, which falls under the umbrella term digital health. To create the lifestyle changes needed to become and stay more physically active there can be a need for motivational factors such as triggers, reminders and other motivators. Persuasive design in general and nudges in particular have the function where they will nudge people towards making a behavior change without removing the autonomy of the person. As the older people in Sweden are generally both digital and eHealth literate and are able to handle health related matters such as booking appointments and reading their health journal online, we see a possibility to examine the area of nudging the older towards a behavior change that leads to increased physical activity. Thus, in this study we examine to what extent digital nudges impact physical activities and related conditions, we chose a within subject design experiment which had two conditions – with and without a mobile application that offers digital nudges during two weeks of time period. In our study the test subjects are people above 65 years old as this group of people would greatly benefit from more physical activity and the study of how digital nudges would affect the older population in Sweden is an understudied area. The participants in one of the groups were nudged, using nudges such as the position effects, social norm and framing effects. A dependent t test was conducted and depending on the alpha level used, there was a statistical significance shown. Overall the amount of physical activity in older adults having a prototype with nudges was significantly higher. The results for this study are relevant to some degree since this is not something that has been studied before.

En el Perú, según estudios realizados en el 2010, el 42% de los pacientes hipertensos son tratados, pero solo el 14% de los pacientes logran ser controlados. Esto se debe a que el proceso actual de control de la hipertensión no es completamente eficiente debido a que el paciente no se adhiere completamente al tratamiento y que los controles de la tensión arterial resultan ser muy puntuales tras periodos de tiempo largos de los cuales no se tiene información confiable relacionada con el progreso del paciente. Se plantea un sistema para el control y monitoreo de alteraciones hipertensivas en el embarazo con el uso de sensores biomédicos no invasivos. De esta manera aseguramos que la medición continua brinde la información precisa y confiable para que las mujeres gestantes puedan detectar a tiempo alguna alteración hipertensiva. Además, en segunda instancia, el sistema alerta a los familiares y al médico encargado sobre los niveles de presión arterial en caso de emergencia. El aporte del proyecto es reducir el aumento en la prevalencia de las enfermedades crónicas mediante la integración de los servicios de salud con la tecnología, y gestionar la información desde la colección de datos a través del wearable hasta la exposición. En base a las pruebas realizadas con pacientes gestantes, se obtiene que el 38.64% son controladas y monitoreadas el 75% del tiempo. Estos resultados indican que el uso de la tecnología puede influenciar positivamente en la reducción de la hipertensión en general o en enfermedades crónicas similares. / In Peru, according to studies conducted in 2010, 42% of hypertensive patients are treated, but only 14% of patients manage to be controlled. This is due to the fact that the current process of hypertension control is not completely efficient because the patient does not completely adhere to the treatment and that blood pressure controls turn out to be very punctual after long periods of time from which there is no reliable information related to the progress of the patient. A system is proposed for the control and monitoring of hypertensive disorders in pregnancy with the use of non-invasive biomedical sensors. In this way we ensure that continuous measurement provides accurate and reliable information so that pregnant women can detect any hypertensive disorder on time. In addition, the system alerts the family members and the doctor in charge about the blood pressure levels in case of emergency. The contribution of the project is to reduce the increase in the prevalence of chronic diseases by integrating health services with technology, and to manage information from data collection through wearable until data exposure. Based on the tests carried out with pregnant patients, 38.64% are controlled and monitored 75% of the time. These results indicate that the use of technology can positively influence the reduction of hypertension in general or in similar chronic diseases. / Tesis