International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2016): 79.57 | Impact Factor (2017): 7.296 Volume 7 Issue 7, July 2018 www.ijsr.net Licensed Under Creative Commons Attribution CC BY A Novel Medical Data Acquisition and Transmission Technique Achi Harrisson Thiziers 1 , Jérémie T. Zoueu 2 , Haba Cissé Théodore 3 1, 2, 3 Instrumentation, Imaging and Spectrography Laboratory (L2IS), INP-HB, DFR-GEE, Yamoussoukro, INP-HB, Côte d’Ivoire Abstract: In this article, we propose a new technique of acquisition by sensors, towards a cellular telephone equipped with a mobile application, of multidimensional physiological signals, by Bluetooth technology and especially by manual input, for predictive tests and their transmission on a Mobile Cloud Computing. The experimental plan consists of combining two multi-sensors and a test marker to simultaneously acquire the physiological signals and values of people on a tablet or smartphone. Our contribution consists not only in deducing, from these signals, formulae for the determination of other values, in particular the hematocrit level of the Blood Formula Count (BFN), the body mass index (BMI), the creatinine clearance (CrCl), but also in developing a mobile application capable of displaying these acquisition results and, by detection algorithms, of predicting pathologies. We also offer our Mobile Cloud Computing architecture and simulate Big data analysis with Matlab. Keywords: Physiological signals, sensors, Mobile Cloud Computing, Detection algorithms, Big Data analyses 1. Introduction Talking about the acquisition of multidimensional physiological signals, their processing and transmission by mobile phone is something very important. This therefore requires an explanation. Physiological signals are physical quantities taken from the human body by means of special sensors. These sensors are either:  Invasive in which case collection is intravenous or access to plasma fluid  Non-invasive; in this second case, the sample is taken without intravenous penetration or extraction of plasma liquid. They are multidimensional when several different signals are involved. It is they who are transmitted via the mobile telephone network. In such a context, the acquisition via two multi-sensors of multidimensional physiological signals becomes important for the patient and his treating physicians, because it allows remote monitoring or observation of the patient's condition alerts, remote expertise and remote assistance or remote specialists to the treating agents close to the patient. Faced with this dilemma, several studies have tried to find an effective solution by proposing the multi-sensor platform for monitoring geographical positioning and behavioral signals[1], sensor networks for medical monitoring application[2], telemetric measurement of biological signals selected by Bluetooth technology[3], wireless medical surveillance system at lower cost, and transmission to a medical alarm station [4]. In order to make our contribution, we propose the acquisition by Bluetooth of 10 physiological signals which are : systolic blood pressure (SBP), diastolic blood pressure (DBP), blood pressure (BP), heart rate or pulse rate (HR), pulsed oxygen saturation (SpO2), blood glucose or blood sugar level (Gl), Creatinine characteristic of renal function (Cr), LDL cholesterol or (LDL-Cholesterol), uric acid in the blood (Ur), hemoglobin (Hb), patient temperature (T°). From these values acquired by our device, we can extract the following formulas: creatinine clearance (CrCl), hematocrit (Ht), total renal blood flow (TRBF), body mass index (BMI). The weight (Wt), height (Ht), sex (S), age (Ag) and blood group are also entered manually. We create a library of symptoms, which are collected on the client and entered manually in our application: headaches, cough, vomiting, blurred vision, diarrhea, constipation, fatigue, nose bleeds, abdominal pain, and general appearance of the skin. At this stage, our first level algorithms test pathologies directly related to these physical values in order to deduce their normal, abnormal or critical character. Pathology tests and predictive diagnostics are thus transmitted to our Mobile Cloud Computing, via the telephone network chip embedded in our mobile terminals, which in turn transmits them to the attending physician, specialists or simply to the patient's relatives. The rest of this article is organized as follows: Section 2 develops the state of the art in the research field. Section 3 poses the problem. Section 4 outlines our contribution. Section 5 discusses the limitations of our contribution's work by presenting the actual use for patient reception in our emergency departments and the benefit for telemedicine of our multi-sensor process for the simultaneous acquisition of multidimensional physiological signals. Section 6 concludes and opens the way for our work. 2. Related Works 2.1. The multi-sensor platform for monitoring geographic positioning and behavioral signals [1] In this study, the author proposes a multi-sensor architecture for remote measurement and physiological data transmission that is as energy-efficient as possible. It consists of 6 parts:  The design and implementation of a modular architecture, Paper ID: ART2019190 DOI: 10.21275/ART2019190 1070