Mobile Personal Health System for Ambulatory Blood Pressure Monitoring (original) (raw)
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BACKGROUND Smartphone-based blood pressure (BP) monitoring using photoplethysmography (PPG) technology has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control of hypertension. OBJECTIVE This study aimed to develop a mobile personal health care system for noninvasive, pervasive, and continuous estimation of BP level and variability, which is user friendly for elderly people. METHODS The proposed approach was integrated by a self-designed cuffless, calibration-free, wireless, and wearable PPG-only sensor and a native purposely designed smartphone app using multilayer perceptron machine learning techniques from raw signals. We performed a development and usability study with three older adults (mean age 61.3 years, SD 1.5 years; 66% women) to test the usability and accuracy of the smartphone-based BP monitor. RESULTS The employed artificial neural network model had good average accuracy (>90%) and very strong correlation (>0.9...
JMIR Mhealth Uhealth, 2020
Background: Smartphone-based blood pressure (BP) monitoring using photoplethysmography (PPG) technology has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control of hypertension. Objective: This study aimed to develop a mobile personal health care system for noninvasive, pervasive, and continuous estimation of BP level and variability, which is user friendly for elderly people. Methods: The proposed approach was integrated by a self-designed cuffless, calibration-free, wireless, and wearable PPG-only sensor and a native purposely designed smartphone app using multilayer perceptron machine learning techniques from raw signals. We performed a development and usability study with three older adults (mean age 61.3 years, SD 1.5 years; 66% women) to test the usability and accuracy of the smartphone-based BP monitor. Results: The employed artificial neural network model had good average accuracy (>90%) and very strong correlation (>0.90) (P<.001) for predicting the reference BP values of our validation sample (n=150). Bland-Altman plots showed that most of the errors for BP prediction were less than 10 mmHg. However, according to the Association for the Advancement of Medical Instrumentation and British Hypertension Society standards, only diastolic blood pressure prediction met the clinically accepted accuracy thresholds. Conclusions: With further development and validation, the proposed system could provide a cost-effective strategy to improve the quality and coverage of health care, particularly in rural zones, areas lacking physicians, and areas with solitary elderly populations.
Blood Pressure Monitoring Using Smartphone
High blood pressure (hypertension) can quietly damage body for years before symptoms develop. If it is uncontrolled, it may wind up with an in rmity, a poor quality of life or even a fatal heart attack. In this digitalization, we need to something easy way to control hypertension. According to the source of eMarketer, the number of smartphone users worldwide will surpass 2 billion in 2016. If we make any apps which can monitor and control blood pressure, it will be blessed for us. So we try to use mobile phones sensor to make this apps.
Development of a Mobile-Based Hypertension Risk Monitoring System
International Journal of Information Engineering and Electronic Business
Hypertension is a silent killer, which gives no warning signs to alert a patient and can only be detected through regular blood pressure checkups. Uncontrolled and unmonitored hypertension contributed to stroke, chronic kidney disease, eye problem, and heart failure. It is an ongoing challenge to health care systems worldwide. Early detection of hypertension and creating awareness will greatly reduce the effect of hypertension and its related diseases. Also, having a mobile-based system will help patients to know their status, relate with Doctor and enjoy the quick response from the Doctor on hypertension diagnostic effect on their health. The mobile application will help in monitoring patients anytime, anywhere and provide services for each patient based on their personal health condition. The mobile application was designed using unified modeling language and implemented using the Extensible MarkUp Language and Java programming language for the mobile layout and content, while JavaScript Object Notation was used to implement the data storage and retrieval mechanism of the system. The system was tested using data collected from hospital, which yielded an accuracy of 100%. In conclusion, the system will assist in providing timely, efficient, accurate and comprehensive information about hypertension, which is useful for Doctors and patients in detecting, diagnosing, classifying and managing hypertension and its risk.
Mobile health monitoring and consultation to support hypertension treatment
International Conference on ICT for Smart Society, 2013
Hypertension is a disease that can lead to heart attack and blood vessel disease. Maintain blood pressure on normal conditions can reduce the risk of hypertension and heart disease. Conventionally, patients can consult the hypertensive condition by visiting hospital then take measurements of blood pressure, doctor will diagnose the condition of a patient's blood pressure, then give advice on what should be done by the patient. This paper will describe the monitoring and consultation system for hypertension treatment using smartphone devices that are integrated with medical sensor device.
Android mobile application: Remote monitoring of blood pressure
Computer and Information Technology (ICCIT), 2012 15th International Conference on, 2012
There has been an exponential increase in health care costs in the last decade. Seniors have to make frequent visits to their doctor to get their vital signs measured. There is a huge market for non-invasive methods of measurement of these vital signs. The objective of this paper is to design and implement a reliable, cheap, low powered, non-intrusive, and accurate system that can be worn on a regular basis and monitors the vital signs and displays the output to the user's cell phone. This paper specifically deals with the signal conditioning and data acquisition of vital sign: blood pressure. Blood pressure combines the methodologies of Electrocardiography to continuously monitor the systolic and diastolic blood pressure. Here remote monitoring of a patient's blood pressure (BP) is described. The data is transferred to a central monitoring station using a wireless sensor network for displaying and storing.
Journal of Clinical Monitoring and Computing, 2022
Smartphones may provide a highly available access to simplified hypertension screening in environments with limited health care resources. Most studies involving smartphone blood pressure (BP) apps have focused on validation in static conditions without taking into account intraindividual BP variations. We report here the first experimental evidence of smartphonederived BP estimation compared to an arterial catheter in a highly dynamic context such as induction of general anesthesia. We tested a smartphone app (OptiBP) on 121 patients requiring general anesthesia and invasive BP monitoring. For each patient, ten 1-min segments aligned in time with ten smartphone recordings were extracted from the continuous invasive BP. A total of 1152 recordings from 119 patients were analyzed. After exclusion of 2 subjects and rejection of 565 recordings due to BP estimation not generated by the app, we retained 565 recordings from 109 patients (acceptance rate 51.1%). Concordance rate (CR) and angular CR demonstrated values of more than 90% for systolic (SBP), diastolic (DBP) and mean (MBP) BP. Error grid analysis showed that 98% of measurement pairs were in no-or low-risk zones for SBP and MBP, of which more than 89% in the no-risk zone. Evaluation of accuracy and precision [bias ± standard deviation (95% limits of agreement)] between the app and the invasive BP was 0.0 ± 7.5 mmHg [− 14.9, 14.8], 0.1 ± 2.9 mmHg [− 5.5, 5.7], and 0.1 ± 4.2 mmHg [− 8.3, 8.4] for SBP, DBP and MBP respectively. To the best of our knowledge, this is the first time a smartphone app was compared to an invasive BP reference. Its trending ability was investigated in highly dynamic conditions, demonstrating high concordance and accuracy. Our study could lead the way for mobile devices to leverage the measurement of BP and management of hypertension.
Blood Pressure Measurement and Management Telemedicine System Based on a Smart-Phone
International Journal of Online Engineering (iJOE)
Variation of blood pressure throughout the day is one of the reasons why it is increasingly evident that the traditional way of measuring blood pressure in the clinic or office frequently produces numbers that grossly overestimate patient's true blood pressure level. This is a major problem, since it is one of the most important and frequent measurements made by physicians. High blood pressure (BP)(hypertension) is a leading chronic condition in the globe and a major risk factor for severe diseases. Measuring the
Purpose of the Review This review article will summarize available data on mobile applications for the management of hypertension, by highlighting their potential for clinical use, the current limitations and the yet pending issues to be addressed in future studies. Recent Findings The number of available applications related to arterial hypertension and their usage by smartphone owners is constantly increasing. However, most applications lack standardization and scientific validation, and security flaws could be an important, yet still underrated, issue. Small studies showed that treatment strategies based on telemonitoring of home blood pressure with mobile applications could improve blood pressure control, but there are no data on strong outcomes and the high heterogeneity of available studies severely limits the possibility of reaching a definitive conclusion on the impact of such strategies. Summary Smartphone applications for arterial hypertension represent a great chance to improve management of this condition. Results from small studies are promising, but there is a strong need for large, long-term, well-designed clinical trials, before these potential solutions might be reliably applied in real-life patients' care.
2013
This paper describes an ambulatory monitor for beat-by-beat monitoring of systolic blood pressure (SBP) based on an ASIC chip and a mobile phone. The ASIC is able to measure electrocardiogram (ECG), photoelectric plethysmogram (PPG), and has a peripheral interface to control an air pump and valve for inflating and deflating a sphygmomanometer cuff in conventional blood pressure measurement. Algorithms for signal processing, characteristic point detection and SBP estimation are implemented on a mobile phone. Pulse arrival time (PAT) is derived from the apex of QRS complex to the maximum slope of PPG, and is used to estimate a rapid change component in SBP beat-by-beat. An oscillometric sphygmomanometer with a cuff is used to determine SBP intermittently for calibration purpose. Data communication between a mobile phone and the ambulatory monitor is conducted via a Bluetooth wireless connection. Performance of the prototype is examined by data from five healthy college students. The r...