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A DSP for Sensing the Bladder Volume Through Afferent Neural Pathways

In this paper, we present a digital signal processor (DSP) capable of monitoring the urinary bladder volume through afferent neural pathways. The DSP carries out real-time detection and can discriminate extracellular action potentials, also known as on-the-fly spike sorting. Next, the DSP performs a decoding
method to estimate either three qualitative levels of fullness or the bladder volume value, depending on the selected output mode. The proposed DSP was tested using both realistic synthetic signals with a known ground-truth, and real signals from bladder afferent nerves recorded during acute experiments with animal models. The spike sorting processing circuit yielded an average accuracy of 92% using signals with highly correlated spike waveforms and low signal-to-noise ratios. The volume estimation circuits, tested with real signals, reproduced accuracies achieved by offline simulations in Matlab, i.e., 94% and 97% for quantitative and qualitative estimations, respectively. To assess feasibility, the DSP was deployed in the Actel FPGA Igloo AGL1000V2, which showed a power consumption of 0.5 mW and a latency of 2.1 ms at a
333 kHz core frequency. These performance results demonstrate that an implantable bladder sensor that perform the detection, discrimination and decoding of afferent neural activity is feasible.
Index Terms—Biomedical signal processing, biomedical transducers, bladder volume, neural prosthesis, spike sorting.

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Informasi Detail
Judul Seri
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
No. Panggil
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Penerbit
New York : IEEE.,
Deskripsi Fisik
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, VOL. 8, NO. 4, AUGUST 2014
Bahasa
English
ISBN/ISSN
-
Klasifikasi
-
Tipe Isi
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Tipe Media
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Tipe Pembawa
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Edisi
VOL. 8, NO. 4, AUGUST 2014
Subjek
TEKNIK
Info Detail Spesifik
-
Pernyataan Tanggungjawab
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