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NeoNurBT Wireless Data Transfer and Analysis for Neonatal Feeding Device Department of Electrical and Systems Engineering Daniel Fleischer (EE ’12), Matthew Sternberg (SSE ‘12), & Aaron Roth (EE ‘12) – Team 7, 2012 Advisor: Dr. Jay Zemel (ESE) & Dr. Barbara Medoff-Cooper (Nursing) Motivation: More than half a million premature births occur in the United States each year. Researchers at the Children's Hospital of Philadelphia (CHOP) and University of Pennsylvania School of Nursing are currently analyzing the feeding behaviors of premature babies and how they relate to management of care and disease. The NeoNur system has been developed to measure, process and store sucking pressures and breathing data. The current system requires connection to a desktop computer via a serial to USB cable for processing and display. Our redesigned NeoNur system incorporates a wireless serial module that enables data transfer to Bluetooth-enabled tablets. Additionally we developed a mobile application that allows the feeding data to be easily transferred from the NeoNur and displayed as a graph along with key data analysis metrics. This allows nurses to quickly and easily analyze the feeding data and determine if disease symptoms are present. The NeoNur has future applicability in hospitals throughout the United States, other first world countries, and third world countries. In using this device, nurses will have the information they need to help save many premature babies around the world. User Interface System Overview When the user opens the application, the tablet will automatically begin searching for the NeoNur. When the tablet is connected via Bluetooth, the user will be notified by a popup as well as a green light on the device. With one touch, the application will download and process the data as well as display the results in graphical form for the user. If the user would like additional data, they may check the boxes on the interface to display analysis metrics, including maximum pressure, sucks per burst, time between bursts, and breathing rate. Hardware 0 0.15 0.3 0.45 0.6 0.75 0.9 1.05 1.2 1.35 1.5 1.65 1.8 1.95 2.1 2.25 2.4 2.55 2.7 2.85 3 3.15 3.3 3.45 3.6 3.75 3.9 4.05 4.2 4.35 4.5 4.65 4.8 4.95 5.1 5.25 5.4 5.55 5.7 5.85 6 6.15 6.3 6.45 6.6 6.75 6.9 7.05 7.2 7.35 7.5 7.65 7.8 7.95 8.1 8.25 8.4 8.55 8.7 8.85 9 9.15 9.3 9.45 9.6 9.75 9.9 Previously, the procedure to test feeding patterns could only be carried out in the laboratory setting taking approximately 35 minutes to complete. By decreasing the form factor of the device, we were able to retrofit the circuit board to fit within a standard baby bottle and decrease that time to 10 minutes. 600 500 A BlueSMiRF Gold Bluetooth cable replacement was used to connect an HTC flyer tablet to the NeoNur bottle to enable wireless data transfer. New circuit boards for the bottle were designed using EAGLE CAD software and milled on the LPKF PCB Milling Machine 400 Figure 5: Cutting circuit board with PCB Milling Machine 300 Hardware and production software: • • • • • 200 100 0 250.208 125.888 147.904 121.024 140.48 Maximum Sucking Pressure: 114.08 109.248 106.432 106.432 121.024 106.432 108.448 8.9 kPa Average Sucks/Burst: 3 S/b Avg. Time Between Bursts: 3 sec 99.584 Average Sucking Rate: Average Breathing Rate: 116.16 114.08 116.16 Figure 2: NeoNur System including Tablet and Bottle 25 s/min 47 b/min Reset Quit Download Data The application is compatible with any Android tablet running SDK 2.2 or newer. It was demonstrated on a 7” HTC Flyer tablet. The NeoNur system consists of a retrofitted baby bottle as well as a tablet computer with the NeoNur application. The application is programmed to recognize the NeoNur bottle upon launch. The system operates as shown below: NeoNur Figure 1: NeoNur Graphical User Interface (GUI) Additionally, the data is saved in a human readable format on the tablet’s internal memory before any transformations are performed in order to preserve the integrity of the data, and allows the data to be erased from the NeoNur for the next feeding session. Each reading is tagged with the date and time of the feeding but lacks any nominal identification in order to comply with HIPPA guidelines. Production Software: • • • • Data Processor Feeding Apparatus Figure 3: Previous Neonatal Feeding Unit at CHOP 104.416 104.416 118.912 109.248 Eclipse IDE Android ADT Plugin Android SDK 2.2 (API 8) Java SE6 JDK HTC Flyer specs: • Size: 7.7x4.8x0.52” • Screen: 7” (diagonal) • Bluetooth 3.0 with A2DP • Battery: Rechargeable 4000 mAh • Storage: 32 GB + micro SD • RAM: 1 GB • USB: Standard micro-USB Pyroelectric Breathing Sensor PIC18f14k50 Microcontroller Tablet Computer Piezoelectric Pressure Sensor Graph Data Streams AT25P Flash Memory BlueSMiRF Gold Bluetooth Module Tablet Bluetooth RFCOMM Display Key Analysis Metrics Transform Data Streams Analyze Data Streams Temporary Data Storage Data saved to Internal Memory Figure 4: System Block Diagram (Hardware components are shown in blue, software components are shown in red) CadSoft EAGLE circuit CAD LPKF CircuitCAM BoardMaster CAM software LPKF S62 PCB Milling Machine BlueSMiRF Gold - serial cable replacement Figure 6: NeoNur circuit board designed in EAGLE CAD BlueSMiRF Gold specs: • Size: 2.03x0.62x0.22” • Class 1 Bluetooth radio (0.15x0.6x1.9“) • 100m range • 25mA power consumption • Serial TTL @ 2400-115200 bps Figure 7: BlueSMiRF Gold Applications The NeoNur platform can be scaled for use across the United States and the world. Due to the low cost components and open source development platform, the system can be applied to both first and third world settings in order to make an impact on the mortality rates among premature neonates. Additionally, the redesigned system allows nursing teams to easily carry the device with them in order to achieve these goals. Figure 8: Percentage of births born preterm by continent (Time Magazine, 2007)