Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584691
Laura Becerra-Fajardo, Marc Tudela-Pi, A. Ivorra
Galvanic coupling, or more precisely, volume conduction, can be used to communicate with and to transfer power to electronic implants. Since no bulky components for power, such as coils or batteries, are required within the implants, this strategy can yield very thin devices suitable for implantation by injection. To design the circuitry of both the implants and the external systems, it is desirable to possess a model that encompasses the behavior of these circuits and also the volume conduction phenomenon. Here we propose to model volume conduction with a two-port network so that the whole system can be studied in circuit simulators. The two-port network consists only of three impedances whose values can be obtained through simple measurements or through numerical methods. We report a validation of this modeling approach in a geometrically simple in vitro setup that allowed us to determine the impedances of the two-port network not only by performing measurements or through a finite element method study but also through an analytical solution.
{"title":"Two-Port Networks to Model Galvanic Coupling for Intrabody Communications and Power Transfer to Implants","authors":"Laura Becerra-Fajardo, Marc Tudela-Pi, A. Ivorra","doi":"10.1109/BIOCAS.2018.8584691","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584691","url":null,"abstract":"Galvanic coupling, or more precisely, volume conduction, can be used to communicate with and to transfer power to electronic implants. Since no bulky components for power, such as coils or batteries, are required within the implants, this strategy can yield very thin devices suitable for implantation by injection. To design the circuitry of both the implants and the external systems, it is desirable to possess a model that encompasses the behavior of these circuits and also the volume conduction phenomenon. Here we propose to model volume conduction with a two-port network so that the whole system can be studied in circuit simulators. The two-port network consists only of three impedances whose values can be obtained through simple measurements or through numerical methods. We report a validation of this modeling approach in a geometrically simple in vitro setup that allowed us to determine the impedances of the two-port network not only by performing measurements or through a finite element method study but also through an analytical solution.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122680155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584725
Jihun Lee, F. Laiwalla, J. Jeong, Chester Kilfoyle, L. Larson, A. Nurmikko, Siwei Li, Siyuan Yu, V. Leung
We describe a custom wireless power and data transmission (WPDT) link and analyze its performance in a prototype implantable sensor system of ensembles of CMOS sensor ASICs (“Neurograins”) embedding 0.5 mm × 0.5 mm planar microcoil antennas. We use near-field RF at ~1 GHz for wireless powering in a resonant 3-coil architecture including an implanted relay coil in a quadrant layout architecture to maximize coverage area and RF transfer efficiency. We demonstrate successful WPDT across antenna cross-section in benchtop proxy physiological tests. Demodulation and analysis of backscattered signals validate the data link fidelity. Our results suggest that this electromagnetic coupling scheme can robustly support a chip density of 250/ cm2(up to 1024 individual Neurograins in a 2 cm × 2 cm area) and parallel transmitters can be combined to multiply the channel capacity without destructive interference.
我们描述了一种定制的无线电源和数据传输(WPDT)链路，并分析了其在嵌入0.5 mm × 0.5 mm平面微线圈天线的CMOS传感器asic(“神经颗粒”)集成的原型植入式传感器系统中的性能。我们使用~1 GHz的近场RF在谐振3线圈架构中进行无线供电，包括在象限布局架构中植入中继线圈，以最大化覆盖面积和RF传输效率。我们在台式代理生理测试中成功地展示了跨天线截面的WPDT。对后向散射信号的解调和分析验证了数据链路的保真度。我们的研究结果表明，这种电磁耦合方案可以稳定地支持250/ cm2的芯片密度(在2cm × 2cm区域内多达1024个单独的神经粒)，并且可以组合并行发射器以增加信道容量而不会产生破坏性干扰。
{"title":"Wireless Power and Data Link for Ensembles of Sub-mm scale Implantable Sensors near 1GHz","authors":"Jihun Lee, F. Laiwalla, J. Jeong, Chester Kilfoyle, L. Larson, A. Nurmikko, Siwei Li, Siyuan Yu, V. Leung","doi":"10.1109/BIOCAS.2018.8584725","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584725","url":null,"abstract":"We describe a custom wireless power and data transmission (WPDT) link and analyze its performance in a prototype implantable sensor system of ensembles of CMOS sensor ASICs (“Neurograins”) embedding 0.5 mm × 0.5 mm planar microcoil antennas. We use near-field RF at ~1 GHz for wireless powering in a resonant 3-coil architecture including an implanted relay coil in a quadrant layout architecture to maximize coverage area and RF transfer efficiency. We demonstrate successful WPDT across antenna cross-section in benchtop proxy physiological tests. Demodulation and analysis of backscattered signals validate the data link fidelity. Our results suggest that this electromagnetic coupling scheme can robustly support a chip density of 250/ cm2(up to 1024 individual Neurograins in a 2 cm × 2 cm area) and parallel transmitters can be combined to multiply the channel capacity without destructive interference.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584824
Asish Koruprolu, S. Nag, R. Erfani, P. Mohseni
Reliable data transmission and sustainable wireless powering are key for a majority of implantable medical devices for performing a multitude of operations. This paper proposes and demonstrates an experimental working bench-top model for the first time of a wireless powering scheme for bio-medical implants through a 2-contact resonant capacitive link where data has been transmitted simultaneously in a hybrid amplitude-frequency shift keying (ASK-FSK) technique over the same channel. This technique is well suited for a high-density micro-stimulation implants and the data telemetry rate is independent of the power carrier frequency. A proof-of-concept table-top setup using 20 mm × 20 mm flexible and conformable capacitive patches with a beef slice of 3 mm thickness demonstrates this idea and helps us carry out preliminary experiments. Experimental results show that for an air-kapton gap between the capacitive patches, the power delivered to the load (PDL) is up to 90 mW with data transfer rate of 170 kbps and power transfer efficiency (PTE) of 70%, whereas for a 3 mm thick beef tissue sample separation with the same setup, the observed PDL was 12 mW with a PTE of 36%.
{"title":"Capacitive Wireless Power and Data Transfer for Implantable Medical Devices","authors":"Asish Koruprolu, S. Nag, R. Erfani, P. Mohseni","doi":"10.1109/BIOCAS.2018.8584824","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584824","url":null,"abstract":"Reliable data transmission and sustainable wireless powering are key for a majority of implantable medical devices for performing a multitude of operations. This paper proposes and demonstrates an experimental working bench-top model for the first time of a wireless powering scheme for bio-medical implants through a 2-contact resonant capacitive link where data has been transmitted simultaneously in a hybrid amplitude-frequency shift keying (ASK-FSK) technique over the same channel. This technique is well suited for a high-density micro-stimulation implants and the data telemetry rate is independent of the power carrier frequency. A proof-of-concept table-top setup using 20 mm × 20 mm flexible and conformable capacitive patches with a beef slice of 3 mm thickness demonstrates this idea and helps us carry out preliminary experiments. Experimental results show that for an air-kapton gap between the capacitive patches, the power delivered to the load (PDL) is up to 90 mW with data transfer rate of 170 kbps and power transfer efficiency (PTE) of 70%, whereas for a 3 mm thick beef tissue sample separation with the same setup, the observed PDL was 12 mW with a PTE of 36%.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123316665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584788
M. Maslik, T. Lande, T. Constandinou
This paper presents a novel chopping method allowing suppression of 1/f flicker noise in continuous-time acquisition systems without the need for a fixed-frequency clock, stochastically deriving the chopping signal from the input and hence achieving completely signal-dependent power consumption. The method is analysed, its basis of operation explained and a proof-of-concept implementation presented alongside simulated results demonstrating an increase in achieved SNR of more than 8 dB during acquisition of ECG, EAP and EEG signals.
{"title":"A Clockless Method of Flicker Noise Suppression in Continuous-Time Acquisition of Biosignals","authors":"M. Maslik, T. Lande, T. Constandinou","doi":"10.1109/BIOCAS.2018.8584788","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584788","url":null,"abstract":"This paper presents a novel chopping method allowing suppression of 1/f flicker noise in continuous-time acquisition systems without the need for a fixed-frequency clock, stochastically deriving the chopping signal from the input and hence achieving completely signal-dependent power consumption. The method is analysed, its basis of operation explained and a proof-of-concept implementation presented alongside simulated results demonstrating an increase in achieved SNR of more than 8 dB during acquisition of ECG, EAP and EEG signals.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584724
M. Fouda, Ahmed E. Khorshid, Ibrahim N. Alquaydheb, A. Eltawil, F. Kurdahi
Tissue mimicking materials are used as a safe alternative testing platform during the development of medical applications such as wearables devices and body area networks. Identifying the accurate electrical properties of the materials in use is important to guarantee accuracy and reproducibility of results. In this paper, we propose a novel extraction technique for the Cole-Cole model of tissue-mimicking materials. The proposed method is based on optimizing the relative error for both real and imaginary parts of the complex permittivity of the fabricated materials. Extracting the model is helpful to study the effect of changing materials percentages to fit the real human body tissues. The proposed technique, when applied to in-house developed tissue-mimicking materials, showed a good match with relative error less than 5% in both permittivity parts.
{"title":"Extracting the Cole-Cole Model Parameters of Tissue-mimicking Materials","authors":"M. Fouda, Ahmed E. Khorshid, Ibrahim N. Alquaydheb, A. Eltawil, F. Kurdahi","doi":"10.1109/BIOCAS.2018.8584724","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584724","url":null,"abstract":"Tissue mimicking materials are used as a safe alternative testing platform during the development of medical applications such as wearables devices and body area networks. Identifying the accurate electrical properties of the materials in use is important to guarantee accuracy and reproducibility of results. In this paper, we propose a novel extraction technique for the Cole-Cole model of tissue-mimicking materials. The proposed method is based on optimizing the relative error for both real and imaginary parts of the complex permittivity of the fabricated materials. Extracting the model is helpful to study the effect of changing materials percentages to fit the real human body tissues. The proposed technique, when applied to in-house developed tissue-mimicking materials, showed a good match with relative error less than 5% in both permittivity parts.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115868451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prosthetic devices have significantly improved mobility and quality of life for amputees. Significant engineering advancements have been made in artificial limb biomechanics, joint control systems, and light-weight materials. Amputees report that the primary problem they face with their artificial limbs is a poor fitting socket. In this paper, we propose a smart prosthesis system, in which we measure the real-time force distributions within a prothetic socket and dynamically visualize the results in a mobile application. A major part of the overall proposed system, a wireless pressure sensing system and a force visualization method, are evaluated at current stage. Finally, corresponding works for fully completing this smart prosthesis system are discussed as well.
{"title":"Smart Prosthesis System: Continuous Automatic Prosthesis Fitting Adjustment and Real-time Stress Visualization","authors":"Y. Cai, Jia Chen, Diliang Chen, Guanzhou Qu, Hong-Ke Zhao, Rahila Ansari, Ming-chun Huang","doi":"10.1109/BIOCAS.2018.8584784","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584784","url":null,"abstract":"Prosthetic devices have significantly improved mobility and quality of life for amputees. Significant engineering advancements have been made in artificial limb biomechanics, joint control systems, and light-weight materials. Amputees report that the primary problem they face with their artificial limbs is a poor fitting socket. In this paper, we propose a smart prosthesis system, in which we measure the real-time force distributions within a prothetic socket and dynamically visualize the results in a mobile application. A major part of the overall proposed system, a wireless pressure sensing system and a force visualization method, are evaluated at current stage. Finally, corresponding works for fully completing this smart prosthesis system are discussed as well.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"26 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114123763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584765
Cheng Li, Y. Wang, Jin Zhang, Xiaoxin Cui, Ru Huang
In this paper, we present a compact and accelerated spike-based neuromorphic chip that support on-line pattern recognition. The chip integrates 100 input layer neurons and 7000 synaptic plasticity circuits to handle the pattern classification problem of a 10×10 input pixel array. With the mechanism of spike-timing dependent plasticity (STDP) circuits and teacher signals, the chip can support both supervised learning and unsupervised learning. Fabricated in a 55nm technology, the core circuits occupies the area of 623×540 μm2The simulation results show that the chip can handle the pattern recognition task such as MNIST data set classification, and the power consumption is about 5.5mW.
{"title":"A Compact and Accelerated Spike-based Neuromorphic VLSI Chip for Pattern Recognition","authors":"Cheng Li, Y. Wang, Jin Zhang, Xiaoxin Cui, Ru Huang","doi":"10.1109/BIOCAS.2018.8584765","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584765","url":null,"abstract":"In this paper, we present a compact and accelerated spike-based neuromorphic chip that support on-line pattern recognition. The chip integrates 100 input layer neurons and 7000 synaptic plasticity circuits to handle the pattern classification problem of a 10×10 input pixel array. With the mechanism of spike-timing dependent plasticity (STDP) circuits and teacher signals, the chip can support both supervised learning and unsupervised learning. Fabricated in a 55nm technology, the core circuits occupies the area of 623×540 μm2The simulation results show that the chip can handle the pattern recognition task such as MNIST data set classification, and the power consumption is about 5.5mW.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584755
Armin Taschwer, Natalie Butz, Manuel Kohler, D. Rossbach, Y. Manoli
A power-efficient six channel prototype of a neural stimulator, with arbitrary programmable current pulse shapes, and a high voltage compliance of up to 49 V is presented. Rectangular, sinusoidal and exponential shapes are possible, supporting e.g. selective stimulation via anodal and HF block. It features high flexibility in current amplitudes from 2 µA to 10 mA with 9-bit resolution per biphasic current DAC, current settling time constant of 0.8 µs, and low voltage headroom. Each channel is equipped with passive charge balancing by a high voltage switch with adequate on-resistance of 2 kΩ. Two channels are additionally equipped with active charge balancing by a PI-controlled offset compensation. The smallest achievable overall static power consumption is 20.8 µW per channel and 41 µW if active charge balancing (CB) is enabled.
{"title":"A Charge Balanced Neural Stimulator with 3.3 V to 49 V Supply Compliance and Arbitrary Programmable Current Pulse Shapes","authors":"Armin Taschwer, Natalie Butz, Manuel Kohler, D. Rossbach, Y. Manoli","doi":"10.1109/BIOCAS.2018.8584755","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584755","url":null,"abstract":"A power-efficient six channel prototype of a neural stimulator, with arbitrary programmable current pulse shapes, and a high voltage compliance of up to 49 V is presented. Rectangular, sinusoidal and exponential shapes are possible, supporting e.g. selective stimulation via anodal and HF block. It features high flexibility in current amplitudes from 2 µA to 10 mA with 9-bit resolution per biphasic current DAC, current settling time constant of 0.8 µs, and low voltage headroom. Each channel is equipped with passive charge balancing by a high voltage switch with adequate on-resistance of 2 kΩ. Two channels are additionally equipped with active charge balancing by a PI-controlled offset compensation. The smallest achievable overall static power consumption is 20.8 µW per channel and 41 µW if active charge balancing (CB) is enabled.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123247002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584686
Yuanqi Hu, P. Georgiou
In this paper Direct Tunnelling current has been used as a mechanism to cancel the Trapped Charge commonly found in unmodified CMOS ISFETs. Our analysis has shown that PMOS devices could be used, having minimum leakage current in normal operation whilst providing considerable large tunnelling current for compensation with gate biasing. We integrate a flip-flop into each sensing pixel to allow self-locking of the gate bias during the charge cancellation process. Our analysis shows that we can use the proposed approach to cancel the trapped charge within 10 minutes, introducing only lu V /s of drift at the output. We demonstrate this mechanism with a 4×4 sensor array operating with a 3-step cancellation process and include simulation results showing the charge cancellation mechanism.
在本文中，直接隧穿电流被用来作为一种机制来消除在未修改的CMOS isfet中常见的捕获电荷。我们的分析表明，PMOS器件可以在正常工作时具有最小的泄漏电流，同时提供相当大的隧穿电流来补偿栅极偏置。我们将一个触发器集成到每个传感像素中，以便在电荷消除过程中自锁定门偏置。我们的分析表明，我们可以使用所提出的方法在10分钟内取消捕获电荷，在输出端只引入6 V /s的漂移。我们通过4×4传感器阵列演示了这种机制，该传感器阵列具有3步取消过程，并包括显示电荷取消机制的仿真结果。
{"title":"Trapped charge cancellation for CMOS ISFET sensors via Direct Tunnelling","authors":"Yuanqi Hu, P. Georgiou","doi":"10.1109/BIOCAS.2018.8584686","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584686","url":null,"abstract":"In this paper Direct Tunnelling current has been used as a mechanism to cancel the Trapped Charge commonly found in unmodified CMOS ISFETs. Our analysis has shown that PMOS devices could be used, having minimum leakage current in normal operation whilst providing considerable large tunnelling current for compensation with gate biasing. We integrate a flip-flop into each sensing pixel to allow self-locking of the gate bias during the charge cancellation process. Our analysis shows that we can use the proposed approach to cancel the trapped charge within 10 minutes, introducing only lu V /s of drift at the output. We demonstrate this mechanism with a 4×4 sensor array operating with a 3-step cancellation process and include simulation results showing the charge cancellation mechanism.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115726616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/BIOCAS.2018.8584809
E. Sulas, Alice E. Martis, P. Cosseddu, A. Achilli, G. Sollai, I. Barbarossa, L. Raffo, A. Bonfiglio, D. Pani
Objective assessment of taste perception is a challenging problem. In general, psychophysical tests based on the administration of a prototypical bitter compound, 6-n-propyltiouracil (PROP), and on a subjective scoring, are exploited. Since the PROP tasting ability is correlated to food preference and also to several clinical and health-related conditions, the development of low-cost hardware/software tools for accurate testing (e.g., in pharmacies) is an important goal. Previous works revealed the possibility to perform an electrophysiological measurement on the tongue able to provide objectiveness and repeatability in this kind of study. The technique, called Electrotastegram (ETG), relies on a custom thin-film electrode and an off-the-shelf electrophysiological recording system. In this work, we present a prototypical low-cost pocket-sized wireless device for ETG, comparing the signal quality against a top-class electrophysiological recording system already used for the same measurements. A custom Matlab interface was developed to collect and process the signal. By acquiring the signals at the same time with both devices, it was possible to compare the quality in terms of noise, amplitude and waveform. The results reveal a substantial equivalence between the two devices, thus opening to the possibility of using the proposed system in real scenarios, possibly substituting the Matlab interface with a stand-alone software.
{"title":"Objective Human Gustatory Sensitivity Assessment Through a Portable Electronic Device","authors":"E. Sulas, Alice E. Martis, P. Cosseddu, A. Achilli, G. Sollai, I. Barbarossa, L. Raffo, A. Bonfiglio, D. Pani","doi":"10.1109/BIOCAS.2018.8584809","DOIUrl":"https://doi.org/10.1109/BIOCAS.2018.8584809","url":null,"abstract":"Objective assessment of taste perception is a challenging problem. In general, psychophysical tests based on the administration of a prototypical bitter compound, 6-n-propyltiouracil (PROP), and on a subjective scoring, are exploited. Since the PROP tasting ability is correlated to food preference and also to several clinical and health-related conditions, the development of low-cost hardware/software tools for accurate testing (e.g., in pharmacies) is an important goal. Previous works revealed the possibility to perform an electrophysiological measurement on the tongue able to provide objectiveness and repeatability in this kind of study. The technique, called Electrotastegram (ETG), relies on a custom thin-film electrode and an off-the-shelf electrophysiological recording system. In this work, we present a prototypical low-cost pocket-sized wireless device for ETG, comparing the signal quality against a top-class electrophysiological recording system already used for the same measurements. A custom Matlab interface was developed to collect and process the signal. By acquiring the signals at the same time with both devices, it was possible to compare the quality in terms of noise, amplitude and waveform. The results reveal a substantial equivalence between the two devices, thus opening to the possibility of using the proposed system in real scenarios, possibly substituting the Matlab interface with a stand-alone software.","PeriodicalId":259162,"journal":{"name":"2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117285284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：