TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Scherz, Wilhelm Daniel
A1  - Baun, Jannik
A1  - Seepold, Ralf
A1  - Martínez Madrid, Natividad
A1  - Ortega, Juan Antonio
T1  - A portable ECG for recording and flexible development of algorithms and stress detection
T2  - 24rd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2020), 16 - 18 September 2020, Verona, Italy, virtual; (Procedia Computer Science)
N2  - Cardiovascular diseases are directly or indirectly responsible for up to 38.5% of all deaths in Germany and thus represent the most frequent cause of death. At present, heart diseases are mainly discovered by chance during routine visits to the doctor or when acute symptoms occur. However, there is no practical method to proactively detect diseases or abnormalities of the heart in the daily environment and to take preventive measures for the person concerned. Long-term ECG devices, as currently used by physicians, are simply too expensive, impractical, and not widely available for everyday use. This work aims to develop an ECG device suitable for everyday use that can be worn directly on the body. For this purpose, an already existing hardware platform will be analyzed, and the corresponding potential for improvement will be identified. A precise picture of the existing data quality is obtained by metrological examination, and corresponding requirements are defined. Based on these identified optimization potentials, a new ECG device is developed. The revised ECG device is characterized by a high integration density and combines all components directly on one board except the battery and the ECG electrodes. The compact design allows the device to be attached directly to the chest. An integrated microcontroller allows digital signal processing without the need for an additional computer. Central features of the evaluation are a peak detection for detecting R-peaks and a calculation of the current heart rate based on the RR interval. To ensure the validity of the detected R-peaks, a model of the anatomical conditions is used. Thus, unrealistic RR-intervals can be excluded. The wireless interface allows continuous transmission of the calculated heart rate. Following the development of hardware and software, the results are verified, and appropriate conclusions about the data quality are drawn. As a result, a very compact and wearable ECG device with different wireless technologies, data storage, and evaluation of RR intervals was developed. Some tests yelled runtimes up to 24 hours with wireless Lan activated and streaming.
KW  - ECG
KW  - Biovital signal
KW  - Signal processing
KW  - Stress detection
Y1  - 2020
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2020.09.265
DO  - https://doi.org/10.1016/j.procs.2020.09.265
VL  - 176
SP  - 2886
EP  - 2893
PB  - Elsevier
CY  - Amsterdam u.a.
ER  -