Sensing and Storing the Blood Pressure Measure by Patients through A Platform and Mobile Devices †.
Vladimir VillarrealMel NielsenManuel SamudioPublished in: Sensors (Basel, Switzerland) (2018)
In this article, we present a platform that allows for the integration of different applications for the follow-up of patients with chronic diseases. We developed two elements: a mobile and a web application. The mobile application allows the capture and processing of vital signs for patients with high blood pressure (hypertension). This application allows for the patient to store the data obtained, provides historical information and trends of the stored measures, and provides alerts and recommendations according to ranges of measures that were obtained. The web application allows the doctor and patients to obtain updated information of the disease behavior through the measures obtained. We used different biometric devices including an efimomanometer, glucometer, scale, and a thermometer with a wi-fi connection. Through this web application, we also generated information about average measures at a given time, by age, by region, and by a specific date. The developed system was evaluated in a medical center with different types of patients.
Keyphrases
- blood pressure
- end stage renal disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- high throughput
- healthcare
- patient reported outcomes
- metabolic syndrome
- skeletal muscle
- case report
- machine learning
- artificial intelligence
- insulin resistance
- patient reported
- deep learning
- single cell
- data analysis
- room temperature