ARISTARKO: A Software Framework for Physiological Data Acquisition

2016 ◽  
pp. 215-223 ◽  
Author(s):  
Arturo Martínez-Rodrigo ◽  
José Manuel Pastor ◽  
Roberto Zangróniz ◽  
César Sánchez-Meléndez ◽  
Antonio Fernández-Caballero
Keyword(s):  
Data Acquisition ◽  
Physiological Data ◽  
Software Framework

scholarly journals EUDAQ2—A flexible data acquisition software framework for common test beams

2019 ◽  
Vol 14 (10) ◽  
pp. P10033-P10033 ◽  
Author(s):  
Y. Liu ◽  
M.S. Amjad ◽  
P. Baesso ◽  
D. Cussans ◽  
J. Dreyling-Eschweiler ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Software Framework ◽  
Data Acquisition Software ◽  
Acquisition Software

Physiological Data Acquisition System Based on Mobile Computing

2016 ◽  
pp. 46-51 ◽  
Author(s):  
Ezekiel Sarasua ◽  
Maider Simón ◽  
Borja Gamecho ◽  
Edurne Larraza-Mendiluze ◽  
Nestor Garay-Vitoria
Keyword(s):  
Mobile Computing ◽  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Physiological Data

scholarly journals Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling

2019 ◽  
Vol 3 (2) ◽  
pp. 264-265
Author(s):  
Franco van Wyk ◽  
Anahita Khojandi ◽  
Brian Williams ◽  
Don MacMillan ◽  
Robert L. Davis ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Data Driven ◽  
Physiological Data ◽  
Benefit Analysis ◽  
Data Acquisition Systems ◽  
Using Data ◽  
Data Driven Modeling

scholarly journals Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7106
Author(s):  
Oludotun Ode ◽  
Lara Orlandic ◽  
Omer T. Inan
Keyword(s):  
Blood Pressure ◽  
Embedded System ◽  
Data Acquisition ◽  
Transit Time ◽  
Ambulatory Blood Pressure ◽  
Field Experiments ◽  
Control Method ◽  
Pulse Transit Time ◽  
Huffman Coding ◽  
Physiological Data

We developed a prototype for measuring physiological data for pulse transit time (PTT) estimation that will be used for ambulatory blood pressure (BP) monitoring. The device is comprised of an embedded system with multimodal sensors that streams high-throughput data to a custom Android application. The primary focus of this paper is on the hardware–software codesign that we developed to address the challenges associated with reliably recording data over Bluetooth on a resource-constrained platform. In particular, we developed a lossless compression algorithm that is based on optimally selective Huffman coding and Huffman prefixed coding, which yields virtually identical compression ratios to the standard algorithm, but with a 67–99% reduction in the size of the compression tables. In addition, we developed a hybrid software–hardware flow control method to eliminate microcontroller (MCU) interrupt-latency related data loss when multi-byte packets are sent from the phone to the embedded system via a Bluetooth module at baud rates exceeding 115,200 bit/s. The empirical error rate obtained with the proposed method with the baud rate set to 460,800 bit/s was identically equal to 0%. Our robust and computationally efficient physiological data acquisition system will enable field experiments that will drive the development of novel algorithms for PTT-based continuous BP monitoring.

scholarly journals Photogrammetric survey of dinosaur skeletons

Fossil Record ◽  
1999 ◽  
Vol 2 (1) ◽  
pp. 113-119 ◽  
Author(s):  
A. Wiedemann ◽  
T. Suthau ◽  
J. Albertz
Keyword(s):  
Data Acquisition ◽  
Surface Area ◽  
Reference System ◽  
Physiological Data ◽  
Control Network ◽  
Detailed Survey ◽  
Laser Scanners ◽  
Stereo Photogrammetry ◽  
Close Range

Abstract. To derive physiological data of dinosaurs, it is necessary to determine the volume and the surface area of this animals. For this purpose, a detailed survey of reconstructed skeletons is required. The skeletons of three dinosaurs in the Museum für Naturkunde in Berlin and two skeletons in the Museum d'Histoire Naturelle in Paris have been surveyed using stereo photogrammetry. Two of the Berlin skeletons were also surveyed with the close range laser scanners of the Institut für Navigation of the Universität Stuttgart. Both data acquisition techniques require a geodetic control network as a geometric reference system. The surveying methods used, together with results of mathematical approaches for the determination of the volume and surface of the animals are presented in this paper. Zur Herleitung physiologischer Daten der Dinosaurier ist es erforderlich, zunächst Volumen und Oberfläche ihres Körpers zu bestimmen. Dazu wurde eine detaillierte Vermessung rekonstruierter Skelette durchgeführt. Die Skelette dreier Saurier im Museum für Naturkunde in Berlin und zweier im Museum d'Histoire Naturelle in Paris wurden stereophotogrammetrisch vermessen. Bei zwei der Berliner Skelette wurden zusätzlich die Laserscanner des Instituts für Navigation der Universität Stuttgart eingesetzt. Beide Datenerfassungstechniken benötigen ein Paßpunktfeld als geometrisches Referenzsystem. Die verwendeten Vermessungsmethoden, die mathematischen Ansätze für die Berechnung von Volumina und Oberflächen und die Ergebnisse werden in diesem Aufsatz vorgestellt. doi:10.1002/mmng.1999.4860020108

A semi-automated physiological data acquisition system for human studies of atmospheric pollutant effects

1981 ◽  
Vol 5 (SI) ◽  
pp. 87-94
Author(s):  
Ralph W. Stacy ◽  
Sam Bryan ◽  
Robin Davis ◽  
George S. Malindzak
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Human Studies ◽  
Acquisition System ◽  
Physiological Data ◽  
Atmospheric Pollutant
Sign in / Sign up

Export Citation Format

Share Document