Blood Pressure Prediction Using Personal Data (Technological Mindfulness Discussion)
Wearable technology has flooded the market this year. It seems like every tech company is giving their touch in the wearable device industry. The innovation is almost applicable to anything. There are wearable devices for fitness, health, and entertainment and even in sports. It has the excellent use for analytics and monitoring purposes. That is why the engineers of the University of California in San Diego developed a wearable device that is capable of predicting a person’s blood pressure. The technology uses the personal information of the user in creating a set of personalized recommendation to manage their blood health. This invention has predictive capability. It is considered a first of its kind in the market.
The Analyzed Research In Ground-Breaking Technology
This particular research of the UC team enabled them to win the Best Paper award at the Institution of Electrical and Electronics Engineers Healthcom 2018. According to the research team, it is the first ever device that can investigate blood pressure levels on a daily basis from the user’s analyzed and collected data. The predictive wearable device pinpoints the exact health behavior that needs modification to lower blood pressure levels. It gives the user a lot better goals and to-do list to follow compared to an array of references. The structure of the device comes from the factors of sleeping behavior, healthy lifestyle, blood pressure levels, and daily exercise monitoring.
A University Of California School Of Engineering professor notes that patients are not too compliant to their doctors whenever they recommended a change of lifestyle for the benefit of their overall health. Sometimes, doctor’s recommendations are never taken too seriously unless it’s already a life and death situation. From that instance, the UC research conducted tests on how patients follow a particular medical order and approach. They concluded that it’s easier for an individual to depend on visual representation than try to comply with some lifestyle changes from verbal recommendations.
The First-Hand Testing
The study conducted by the UC team gathered data from eight volunteer patients for 90 days. Based on the research, it confirmed that personalized data is much more efficient than the general data gathered by almost all healthcare center databases. That’s because each person has a unique lifestyle choice, and the suggested data from most healthcare database is very general and doesn’t pinpoint a specific recommendation. That is why the research has more positive results when it comes to lowering average systolic blood pressure by 15.4 percent and lowering diastolic pressure by 14.2 percent. Both results are in one week use of the predictive wearable device.
The research shows that wearing wireless predictive devices is more systematic in handling blood pressure levels. It exceeds expectation compared to the conventional way of going to the doctor for a blood pressure rise checkup. With the wireless blood pressure monitor, (such as FitBit charge HR or Omron Evolv) there is a created algorithm that predicts a person’s health parameters. The data accumulated from this device can help both the patient and the doctor to adjust treatments and prescriptions without undergoing a lot of constraints. This technology will give the doctors access to increase the overall efficiency of monitoring blood pressure levels.
The device is still under development. Dey, the creator, and its team has partnered with a group of specialist from the University of California Health. They are bound to integrate the system into a greater sample size. The data gathered from this collaboration aims to increase the overall performance of the device and provide a basis of study for the long-term effect of health behaviors on blood pressure.