WANDA B.: Weight and activity with blood pressure monitoring system for heart failure patients

Suh, Myung-kyung; Evangelista, Lorraine S.; Chen, Victor; Hong, Wen-Sao; Macbeth, Jamie; Nahapetian, Ani; Figueras, Florence-Joy; Sarrafzadeh, Majid

doi:10.1109/wowmom.2010.5534983

Cited by 27 publications

(16 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…WANDA-B)[5] developed by our team to collect daily weight, blood pressure (systolic & diastolic), heart rate, and responses to a symptom assessment survey. The system consists of a smartphone-based data collection gateway, an Internet-scale data storage and search system, and a backend analytics engine for diagnostic and prognostic purposes.…”

Section: Methodsmentioning

confidence: 99%

Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure

Evangelista

Ghasemzadeh

Lee

et al. 2017

THC

Self Cite

View full text Add to dashboard Cite

Background It is unclear whether subgroups of patients may benefit from remote monitoring systems (RMS) and what user characteristics and contextual factors determine effective use of RMS in patients with heart failure (HF). Objective The study was conducted to determine whether certain user characteristics (i.e. personal and clinical variables) predict use of RMS using advanced machine learning software algorithms in patients with HF. Methods This pilot study was a single-arm experimental study with a pre- (baseline) and post- (3 months) design; data from the baseline measures were used for the current data analyses. Sixteen patients provided consent; only 7 patients (mean age 65.8±6.1, range 58–83) accessed the RMS and transmitted daily data (e.g. weight, blood pressure) as instructed during the 12 week study duration. Results Baseline demographic and clinical characteristics of users and non-users were comparable for a majority of factors. However, users were more likely to have no HF specialty based care or an automatic internal cardioverter defibrillator. The precision accuracy of decision tree, multilayer perceptron (MLP) and k-Nearest Neighbor (k-NN) classifiers for predicting access to RMS was 87.5%, 90.3%, and 94.5% respectively. Conclusion Our preliminary data show that a small set of baseline attributes is sufficient to predict subgroups of patients who had a higher likelihood of using RMS. While our findings shed light on potential end-users more likely to benefit from RMS-based interventions, additional research in a larger sample is warranted to explicate the impact of user characteristics on actual use of these technologies.

show abstract

Section: Methodsmentioning

confidence: 99%

Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure

Evangelista

Ghasemzadeh

Lee

et al. 2017

THC

Self Cite

View full text Add to dashboard Cite

show abstract

“…The WANDA B [30] is a system developed in conjunction with the UCLA Nursing School and the UCLA Wireless Health Institute and collects weight, blood pressure, activity, through particular devices and daily SMS surveys regarding patient's clinical status. All data are integrated in a web or iPhone application.…”

Section: Noninvasive Vital Signs Assessmentmentioning

confidence: 99%

“…In addition, wireless health technology, like WANDA B [30] that incorporates multiple sensors that not only assess vital signs such as blood pressure, weight, patient activity, but also a survey system and a daily SMS questionnaire system and transmit them to health-care provider through a web or i-phone application, can facilitate treatment for all HF patients especially those with mechanical support devices.…”

Section: Future Perspective and Integration Of Remote Monitoring Of Vmentioning

confidence: 99%

Novel devices to monitor heart failure and minimize hospitalizations

Papavasileiou

Santini

Forleo

et al. 2016

Expert Review of Cardiovascular Therapy

View full text Add to dashboard Cite

This review aims to cover both implantable and non-implantable devices available for monitoring various hemodynamic parameters and clinical features of patients, as well as algorithms implemented in the new generation ICDs and CRTs capable of simultaneous acquisition and transmission of multiple parameters that indirectly evaluate clinical and/or hemodynamic status. Both internet and PubMed searches were used in order to acquire the most recent developments in the technology of the field. Expert commentary: As new technology offers an enormous data flow, the key for success in the battle against heart failure and related hospitalizations is understanding the correct way of utilizing the data acquired and their importance for the treatment of each individual person.

show abstract

“…''Wanda B'' is a system monitoring weight, activity, and blood pressure, developed at the University of California Los Angeles (UCLA), which incorporates an alert system and SMS notification. 17 The ''Partnership for the Heart'' study at the Charite´Hospital in Berlin contains a tele-medicine system monitoring electrocardiogram, blood pressure, body weight and self-assessment, using Bluetooth devices to send vital data automatically to a telemedical center. 22 Both systems are functional, working systems, but neither focuses on seamless device integration or usability evaluation.…”

Section: State Of the Artmentioning

confidence: 99%

Integrated Home Monitoring and Compliance Optimization for Patients with Mechanical Circulatory Support Devices

et al. 2011

View full text Add to dashboard Cite

This article presents an integrated, automatic home-monitoring, and assist system for patients suffering from end-stage heart failure, particularly patients with implanted mechanical circulatory support devices, such as ventricular assist devices and total artificial hearts. The system incorporates various biosensors to monitor the vital parameters of the patient unobtrusively in the home environment. Recorded data can be accessed online and in real time by a supervising physician, and these data serve as a means for immediate diagnosis of emergency events. The retrieved information can also be continuously analyzed to generate suggestions for medication, nutrition, and exercise for the patient to optimize their rehabilitation and overall health. An experimental environment (the Future Care Lab) was set up at RWTH Aachen University to serve as a testing environment for the development and evaluation of this novel integrated system. The Future Care Lab was not only used as a platform for technically testing the monitoring system, but also more concretely demonstrating to users the integration of these new medical technologies in a home. Thus, the Future Care Lab provides a unique environment for an interdisciplinary research approach consisting of iterative cycles of system development and evaluation of user acceptance.

show abstract

WANDA B.: Weight and activity with blood pressure monitoring system for heart failure patients

Cited by 27 publications

References 9 publications

Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure

Predicting adherence to use of remote health monitoring systems in a cohort of patients with chronic heart failure

Novel devices to monitor heart failure and minimize hospitalizations

Integrated Home Monitoring and Compliance Optimization for Patients with Mechanical Circulatory Support Devices

Contact Info

Product

Resources

About