Publications
410 results found
Moser N, Leong CL, Hu Y, et al., 2016, An Ion Imaging ISFET Array for Potassium and Sodium Detection, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2847-2850, ISSN: 0271-4302
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- Citations: 17
Sun D, Koutsos E, Georgiou P, 2016, A Neuromorphic based Median Frequency Tracker for Muscle Fatigue Monitoring, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 232-235, ISSN: 2163-4025
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- Citations: 3
Miscourides N, Georgiou P, 2016, A Linear Programmable-Gate ISFET Array Operating in Velocity Saturation, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 292-295, ISSN: 2163-4025
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- Citations: 7
Douthwaite M, Moser N, Koutsos E, et al., 2016, A CMOS ISFET Array for Wearable Thermoelectrically Powered Perspiration Analysis, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 54-57, ISSN: 2163-4025
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- Citations: 3
Moser N, Lande TS, Georgiou P, 2016, A Robust ISFET Array with In-Pixel Quantisation and Automatic Offset Calibration, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 50-53, ISSN: 2163-4025
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- Citations: 8
Ma D, Georgiou P, Toumazou C, 2016, A weak inversion ISFET current mirror for differential bio-sensing, 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 42-45, ISSN: 2163-4025
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- Citations: 3
Pesl P, Herrero P, Reddy M, et al., 2016, Live Demonstration: Smartwatch Implementation of an Advanced Insulin Bolus Calculator for Diabetes, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2370-2370, ISSN: 0271-4302
Lallement G, Moser N, Geondou P, 2016, Bio-inspired pH sensing using Ion Sensitive Field Effect Transistors, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2835-2838, ISSN: 0271-4302
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- Citations: 2
Miscourides N, Georgiou P, 2016, Linear Current-Mode ISFET Arrays, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2827-2830, ISSN: 0271-4302
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- Citations: 10
Herrero P, El-Sharkawy M, Pesl P, et al., 2016, Live Demonstrator: Challenging the Bio-inspired Artificial Pancreas with a Mixed-Meal Model Library, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 1444-1444, ISSN: 0271-4302
Ma D, Georgiou P, Toumazou C, 2016, An ISFET-based switched current DNA integrator, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 329-332, ISSN: 0271-4302
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- Citations: 1
Sun D, Koutsos E, Georgiou P, 2016, Comparison of sEMG Bit-Stream Modulators for Cross-Correlation Based Muscle Fatigue Estimation, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 838-841, ISSN: 0271-4302
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- Citations: 3
Hu Y, Sharma S, Weatherwax J, et al., 2016, Live Demonstration: A Portable Multi-Channel Potentiostat for Real-Time Amperometric Measurement of Multi-Electrode Sensor Arrays, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 2373-2373, ISSN: 0271-4302
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- Citations: 1
Hu Y, Sharma S, Weatherwax J, et al., 2016, A Portable Multi-Channel Potentiostat for Real-Time Amperometric Measurement of Multi-Electrode Sensor Arrays, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 1306-1309, ISSN: 0271-4302
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- Citations: 7
Reddy M, Godsland IF, Barnard KD, et al., 2015, Glycemic variability and its impact on quality of life in adults with type 1 diabetes, Journal of Diabetes Science and Technology, Vol: 10, Pages: 60-66, ISSN: 1932-2968
BACKGROUND: There is evidence suggesting that glycemic variability reduces quality of life (QoL) in people with type 2 diabetes, but this association has not been explored in type 1 diabetes. We aimed to assess whether glycemic variability has an impact on QoL in adults with established type 1 diabetes using multiple daily injections (MDI) of insulin or continuous subcutaneous insulin infusion (CSII). METHODS: Participants wore a blinded continuous glucose monitor for up to 5 days and completed the diabetes quality of life (DQOL) questionnaire. Glycemic variability measures were calculated using the EasyGV version 9.0 software. A correlation analysis was performed to assess whether there was a relationship between glycemic variability and measures of QoL. RESULTS: In all, 57 participants with type 1 diabetes (51% male, 65% on CSII, 35% on MDI, mean [SD] age 41 [13] years, duration of diabetes 21 [12] years, HbA1c 63 [12] mmol/mol [7.9% (1.1)], body mass index 25.2 [4.0] kg/m(2)) were included in the analysis. No significant associations between glycemic variability and DQOL total or subscale scores were demonstrated. The glycemic variability was significantly higher for MDI participants compared to CSII participants (P < .05 for all glycemic variability measures), but no significant difference in QoL between the 2 treatment modality groups was observed. CONCLUSIONS: Treatment with CSII is associated with lower glycemic variability compared to MDI. Despite this, and contrary to findings in type 2 diabetes, this study did not find an association between glycemic variability and QoL in adults with relatively well-controlled type 1 diabetes, irrespective of whether they are on MDI or CSII.
Reddy M, Herrero P, Sharkawy ME, et al., 2015, Metabolic Control With the Bio-inspired Artificial Pancreas in Adults With Type 1 Diabetes: A 24-Hour Randomized Controlled Crossover Study., Pages: 405-413
BACKGROUND: The Bio-inspired Artificial Pancreas (BiAP) is a closed-loop insulin delivery system based on a mathematical model of beta-cell physiology and implemented in a microchip within a low-powered handheld device. We aimed to evaluate the safety and efficacy of the BiAP over 24 hours, followed by a substudy assessing the safety of the algorithm without and with partial meal announcement. Changes in lactate and 3-hydroxybutyrate concentrations were investigated for the first time during closed-loop. METHODS: This is a prospective randomized controlled open-label crossover study. Participants were randomly assigned to attend either a 24-hour closed-loop visit connected to the BiAP system or a 24-hour open-loop visit (standard insulin pump therapy). The primary outcome was percentage time spent in target range (3.9-10 mmol/l) measured by sensor glucose. Secondary outcomes included percentage time in hypoglycemia (<3.9 mmol/l) and hyperglycemia (>10 mmol/l). Participants were invited to attend for an additional visit to assess the BiAP without and with partial meal announcements. RESULTS: A total of 12 adults with type 1 diabetes completed the study (58% female, mean [SD] age 45 [10] years, BMI 25 [4] kg/m(2), duration of diabetes 22 [12] years and HbA1c 7.4 [0.7]% [58 (8) mmol/mol]). The median (IQR) percentage time in target did not differ between closed-loop and open-loop (71% vs 66.9%, P = .9). Closed-loop reduced time spent in hypoglycemia from 17.9% to 3.0% (P < .01), but increased time was spent in hyperglycemia (10% vs 28.9%, P = .01). The percentage time in target was higher when all meals were announced during closed-loop compared to no or partial meal announcement (65.7% [53.6-80.5] vs 45.5% [38.2-68.3], P = .12). CONCLUSIONS: The BiAP is safe and achieved equivalent time in target as measured by sensor glucose, with improvement in hypoglycemia, when compared to standard pump therapy.
Bergmann JHM, Goodier H, Spulber I, et al., 2015, The "Wear and Measure" Approach: Linking Joint Stability Measurements from a Smart Clothing System to Optical Tracking, Journal of Sensors, Vol: 2015, ISSN: 1687-7268
Joint stability is essential for maintaining normal everyday function. However, assessment of stability often still relies on subjective or obtrusive methods. An unobtrusive approach would be to have our clothes assess our joint stability. Methods. A new application consisting of an attachable clothing sensing system (ACSS), constructed from a flexible carbon black and polyurethane composite film, was tested against an optical tracking system to assess if the ACSS placed across the knee could provide stability results that correlate with the optical tracking outcomes. Stability was challenged by reducing the base of support and by removing vision generating different experimental conditions. Results. Bland and Altman plots indicated a general proportional error between the measurement systems within each stability condition. However, across all conditions a Spearman correlation coefficient of 0.81 () was found between the displacement values and ACSS, showing a good association between stability measurements. Electromyography (EMG) also indicated that joint stability was challenged between the different conditions. The ACSS was experienced by users as comfortable and hardly noticeable. Conclusions. This study indicates that smart clothing can measure important physiological parameters in an unobtrusive manner. This “wear and measure” approach might change how we gather relevant clinical data in the future.
Georgiou P, Fang W-C, Sonkusale SR, 2015, Guest Editorial-Special Issue on Selected Papers From IEEE BioCAS 2014, IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, Vol: 9, Pages: 605-606, ISSN: 1932-4545
Pesl P, Herrero P, Reddy M, et al., 2015, An Advanced Bolus Calculator for Type 1 Diabetes: System Architecture and Usability Results., IEEE Journal of Biomedical and Health Informatics, Vol: 20, Pages: 11-17, ISSN: 2168-2208
This paper presents the architecture and initial usability results of an advanced insulin bolus calculator for diabetes (ABC4D), which provides personalized insulin recommendations for people with diabetes by differentiating between various diabetes scenarios and automatically adjusting its parameters over time. The proposed platform comprises two main components: a smartphone-based patient platform allowing manual input of glucose and variables affecting blood glucose levels (e.g., meal carbohydrate content and exercise) and providing real-time insulin bolus recommendations; and a clinical revision platform to supervise the automatic adaptations of the bolus calculator parameters. The system implements a previously in silico validated bolus calculator algorithm based on case-based reasoning, which uses information from similar past events (i.e., cases) to suggest improved personalized insulin bolus recommendations and automatically learns from new events. Usability of ABC4D was assessed by analyzing the system usage at the end of a six-week pilot study (n = 10). Further feedback on the use of ABC4D has been obtained from each participant at the end of the study from a usability questionnaire. On average, each participant requested 115 ± 21 insulin recommendations, of which 103 ± 28 (90%) were accepted. The clinical revision software proposed a total of 754 case revisions, where 723 (96%) adaptations were approved by a clinical expert and updated in the patient platform.
Papi E, Spulber I, Kotti M, et al., 2015, Smart sensing system for combined activity classification and estimation of knee range of motion, IEEE Sensors Journal, Vol: 15, Pages: 5535-5544, ISSN: 1558-1748
Herrero P, Pesl P, Reddy M, et al., 2015, Advanced insulin bolus advisor based on run-to-run control and case-based reasoning, IEEE Journal of Biomedical and Health Informatics, Vol: 19, Pages: 1087-1096, ISSN: 2168-2194
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing its performance by providing more adaptability and flexibility. This is achieved by means of applying a retrospective optimization of the insulin bolus therapy using a novel combination of run-to-run (R2R) that uses intermittent continuous glucose monitoring data, and case-based reasoning (CBR). The validity of the proposed approach has been proven by in-silico studies using the FDA-accepted UVa-Padova type 1 diabetes simulator. Tests under more realistic in-silico scenarios are achieved by updating the simulator to emulate intrasubject insulin sensitivity variations and uncertainty in the capillarity measurements and carbohydrate intake. The CBR(R2R) algorithm performed well in simulations by significantly reducing the mean blood glucose, increasing the time in euglycemia and completely eliminating hypoglycaemia. Finally, compared to an R2R stand-alone version of the algorithm, the CBR(R2R) algorithm performed better in both adults and adolescent populations, proving the benefit of the utilization of CBR. In particular, the mean blood glucose improved from 166 ± 39 to 150 ± 16 in the adult populations (p = 0.03) and from 167 ± 25 to 162 ± 23 in the adolescent population (p = 0.06). In addition, CBR(R2R) was able to completely eliminate hypoglycaemia, while the R2R alone was not able to do it in the adolescent population.
Sakphrom S, Georgiou P, Thanachayanont A, 2015, A Sub-100 ppm/degrees C Temperature-Compensated High-Frequency CMOS Relaxation Oscillator, Circuits Systems and Signal Processing, Vol: 35, Pages: 29-42, ISSN: 1531-5878
A temperature-compensated high-frequency CMOS integrated relaxationoscillator with low frequency variations is presented. A current-controlled oscillatortopology is employed with a resistive source-degenerated transconductor and a currentcomparator to achieve high oscillation frequency and low power dissipation. Theproposed oscillator was designed with process parameters from a standard 0.35-µmCMOS technology and a 2.5-V single power supply voltage. At a nominal oscillationfrequency of 21 MHz, the total power dissipation of the circuit was 201 µW.Post-layout simulation results showed that the frequency variations were less than34.16 ppm/◦C over a temperature range of −40 to +120 ◦C.
Herrero P, Pesl P, Bondia J, et al., 2015, Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability, COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, Vol: 119, Pages: 1-8, ISSN: 0169-2607
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- Citations: 27
Miscourides N, Georgiou P, 2015, Impact of Technology Scaling on ISFET Performance for Genetic Sequencing, IEEE SENSORS JOURNAL, Vol: 15, Pages: 2219-2226, ISSN: 1530-437X
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- Citations: 26
Reed S, Georgiou P, Constandinou TG, 2015, Method and Apparatus for Sensing a Property of a Fluid, 8,986,525 B2
A device for sensing a property of a fluid comprising a first substrate having formed thereon a sensor configured in use to come into contact with a fluid in order to sense a property of the fluid, and a wireless transmitter for transmitting data over a wireless data link and a second substrate having formed thereon a wireless receiver for receiving data transmitted over said wireless link by said wireless transmitter. The first substrate is fixed to or within said second substrate. Additionally or alternatively, the device comprises a first substrate defining one or more microfluidic structures for receiving a fluid to be sensed and a second substrate comprising or having attached thereto a multiplicity of fluid sensors, the number of sensors being greater than the number of microfluidic structures. The second substrate is in contact with the first substrate such that at least one of the sensors is aligned with the or each microfluidic structure so as to provide an active sensor for the or each structure, and such that one or more of the sensors is or are not aligned with any microfluidic structure and is or are thereby redundant.
Papi E, Kotti M, Spulber I, et al., 2015, Smart monitoring of knee range of motion and activity type for knee rehabilitation, 25th Congress of the International Society of Biomechanics
Herrero P, Chen Z, Bondia J, et al., 2015, INTERVAL-BASED MODEL PREDICTIVE CONTROL FOR AN ARTIFICIAL PANCREAS, Publisher: MARY ANN LIEBERT, INC, Pages: A99-A99, ISSN: 1520-9156
Pesl P, Herrero P, Reddy M, et al., 2015, ACCEPTABILITY OF A PATIENT AND CLINICAL PLATFORM OF AN ADVANCED BOLUS CALCULATOR FOR TYPE 1 DIABETES (ABC4D), Publisher: MARY ANN LIEBERT, INC, Pages: A130-A130, ISSN: 1520-9156
Reddy M, Pesl P, Xenou M, et al., 2015, CLINICAL SAFETY EVALUATION OF AN ADVANCED BOLUS CALCULATOR FOR TYPE 1 DIABETES (ABC4D), Publisher: MARY ANN LIEBERT, INC, Pages: A130-A131, ISSN: 1520-9156
Reddy M, Herrero P, El Sharkawy M, et al., 2015, CLINICAL EVALUATION OF THE BIO-INSPIRED ARTIFICIAL PANCREAS (BIAP) WITHOUT MEAL ANNOUNCEMENT IN ADULTS WITH TYPE 1 DIABETES, Publisher: MARY ANN LIEBERT, INC, Pages: A45-A46, ISSN: 1520-9156
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- Citations: 1
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