International Journal Of Radiation Oncology, 2016 Oct; 96(2S): 299-299.
Tipo di articolo: Poster,
Impact factor: 0, Impact factor a 5 anni: 0
Url: Non disponibile.
Parole chiave: Radiation Oncology, Patient Monitoring, Fitness Activity Trackers,
*** IBB - CNR *** National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy, Federico II University School of Medicine, Department of Advanced Biomedical Sciences, Napoli, Italy
Purpose/Objective(s): To monitor Radiation Oncology (RO) patient<br>workflow and at to obtain an index of the quality of life of patient during<br>radiation treatment. Information and Communication Technology monitoring<br>devices (ICT-MD), through a Pervasive Computing Approach<br>(PCA), allow the localization of patient and at the same time the archiving<br>of diverse biometrical data such as heart rate, one of the most robust, noninvasive<br>measure of stress response. Here we describe a pilot study on the<br>introduction of ICT-MD in a RO Department.<br>Materials/Methods: For our application, we focused on Activity Tracker<br>(ACT) bracelet (Amiigo, Amiigo Inc., Salt Lake City, UT), an ICT-MD<br>able to measure SpO2 variation, acceleration and skin temperature without<br>any patient interaction according to PCA paradigm. We selected an<br>inexpensive ACT designed mainly for the fitness consumer market that<br>provides a set of application program interfaces (APIs) for direct readout<br>of sensor data, making the raw data available. An in-house software program<br>was developed in Matlab (MathWorks, Natick, MA) for biometric<br>raw data processing for indirect data measurements (heart rate). The builtin<br>Bluetooth connection is used for patient presence detection and transmission<br>of the collected information to the receivers installed in the RO<br>Department. A first detector is used to recognize the patient and to automatically<br>update his/her data in the health record system. A second<br>receiver is in the LINAC room to limit patient exchange and treatment<br>errors. The integrated hardware/software prototype has been accordingly<br>set up at our institution.<br>Results: Tests on the prototype has been successfully performed for each<br>single component, for each combination of components and for the whole<br>system. More than 50% of the collected biometric series turned out to be<br>clean enough for Matlab post processing. The heart rate estimates were<br>positively assessed against the ECG gold standard (5-10% discrepancies).<br>The accelerometer acquisitions were exploited for a covariate analysis with<br>heart rate series in order to enhance the specificity, e.g. by distinguishing<br>between a physiological heart rate acceleration from a pathological condition.<br>None of the 80 tests performed in RO Department for presence<br>detection and identification failed.<br>Conclusion: The realized prototype has been fully validated and its<br>performance revealed encouraging to ameliorate the efficiency of RO<br>patient work-flow management. Furthermore, the system is suitable for<br>monitoring patient distress during the whole radiation treatment course.<br>The proved feasibility of the framework warrants its application in the<br>clinical practice.