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dc.contributor.author
Guerrero, Federico Nicolás  
dc.contributor.author
Spinelli, Enrique Mario  
dc.date.available
2018-10-12T15:03:53Z  
dc.date.issued
2017-10  
dc.identifier.citation
Guerrero, Federico Nicolás; Spinelli, Enrique Mario; A simple encoding method for Sigma-Delta ADC based biopotential acquisition systems; Taylor & Francis; Journal Of Medical Engineering And Technology; 41; 7; 10-2017; 546-552  
dc.identifier.issn
0309-1902  
dc.identifier.uri
http://hdl.handle.net/11336/62304  
dc.description.abstract
Sigma Delta analogue-to-digital converters allow acquiring the full dynamic range of biomedical signals at the electrodes, resulting in less complex hardware and increased measurement robustness. However, the increased data size per sample (typically 24 bits) demands the transmission of extremely large volumes of data across the isolation barrier, thus increasing power consumption on the patient side. This problem is accentuated when a large number of channels is used as in current 128–256 electrodes biopotential acquisition systems, that usually opt for an optic fibre link to the computer. An analogous problem occurs for simpler low-power acquisition platforms that transmit data through a wireless link to a computing platform. In this paper, a low-complexity encoding method is presented to decrease sample data size without losses, while preserving the full DC-coupled signal. The method achieved a 2.3 average compression ratio evaluated over an ECG and EMG signal bank acquired with equipment based on Sigma-Delta converters. It demands a very low processing load: a C language implementation is presented that resulted in an 110 clock cycles average execution on an 8-bit microcontroller.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Taylor & Francis  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Biomedical Signal  
dc.subject
Biopotential  
dc.subject
Dynamic Range  
dc.subject
Ecg  
dc.subject
Emg  
dc.subject
Encoding  
dc.subject
Lossless Compression  
dc.subject
Sigma Delta Converter  
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
A simple encoding method for Sigma-Delta ADC based biopotential acquisition systems  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-08-28T18:43:49Z  
dc.journal.volume
41  
dc.journal.number
7  
dc.journal.pagination
546-552  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Guerrero, Federico Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina  
dc.description.fil
Fil: Spinelli, Enrique Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales. Universidad Nacional de La Plata. Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales; Argentina  
dc.journal.title
Journal Of Medical Engineering And Technology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1080/03091902.2017.1366562  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/03091902.2017.1366562