A doctor
in your pocket

Measure ECG & glucose levels
with a small, non-invasive,
wearable monitor
Learn more
The problem

Cardiovascular diseases & diabetes are the leading causes of death globally!

They cause more deaths (57%) than all other causes together and affect most low- and middle-income countries. Today, there are 424.9 M diagnosed diabetic patients in the world and that number is expected to go up to 628.6 M by 2045 [1]. Furthermore, 25% of diabetes patient costs are a consequence of a cardiovascular disease [2].

[1] International Diabetes Foundation (2017). Diabetes Atlas, (8), p.41
[2] American Diabetes Association (2018). Economic Costs of Diabetes in the U.S. in 2017. Diabetes Care, 41(6).
Our solution

Meet Glyco - a doctor in your pocket

To tackle this global problem, we'd like to monitor both ECG & glucose levels non-invasively with a wearable monitor. Our ground-breaking sensor technology and AI deliver clinically accurate heart activity and glucose level monitoring.

The three biggest advantages to a traditional (invasive) ecg & glucometer are that it is a cheaper long-term solution; it is a non-invasive measurement method; and it offers a more holistic picture of the patient’s health because it tracks the function of the heart and glucose at the same time – for the same price.

This has never been done before.

Workplan

MONTHS 1-4
1: Develop an experimental proof of concept

In this phase we will research on the correlation between ECG and glucose level and develop a machine learning algorithm to match the research results. At the end of the phase we will have a proof of concept.

MONTHS 5-8
2: Build a prototype

In this phase we will specify user and software requirements and develop the application. We will conduct initial testing, validation and verification of the prototype.

MONTHS 9-12
3: Validate in lab environment

In this phase we will design a detailed experimental plan and conduct thorough testing with existing ecg and glucose databases. We will validate the results and improve the prototype.

MONTHS 13-16
4: Demonstrate in relevant environment

In this phase we will conduct clinical studies on real patients, gather real data. We will validate and verify results in order to sum up recommendations for further improvement of the prototype.

MONTHS 17-20
5: Finalize a qualified system

In this phase we will re-design prototype based on feedback from testing and quality control procedures as well as user experience testing. We will improve algorithms and fine tune to match the medical standards. We will finalize the software development.

MONTHS 21-24
6: Manage quality and knowledge protection

In this phase we will develop an intellectual property and quality management plan, apply to WIPO and notified bodies for CE and FDA certification of medical devices. Finally, we will promote the product on the market.

project start: October 2018
project end: September 2020

Team

Our team is comprised of brilliant engineers and experienced cardiologists

We have strong professional backgrounds in pioneering telemedical technologies, and we've been involved in related projects, namely NATO SIARS project and ECG alert.

We are dedicated to medical innovations using technology.

Marjan Gusev - Managing Director
Pano Gushev - Technical Director
Ema Guseva - Chief Financial Officer
Ana Spasovska - Quality Manager
Aleksandar Ristovski - Software Engineer
Ervin Shaqiri - Data Scientist
Goran Temelkov - Software Developer
Ilija Vishinov - Data Scientist
Ana Guseva - Developer
Aleksandar Stojmenski - iOS Developer
Ervin Domazet - Senior Developer
Era Ajdaraga - Researcher
Dr. Poposka Lidija - Cardiologist
Dr. Vavlukis Marija - Cardiologist
Dr. Spasevski Gjoko - Resident Physician
Dr. Ahmeti Irfan - Endocrinologist
Dr. Andrijana B. Gjurovikj - Business and Management
Goce Armenski - Consultancy
Ljupco Antovski - Consultancy
Publications
  • Patent publication: M.Gusev, “Remote ecg monitoring and alerting methods and sensing device”, World Intellectual Property Organization, 18 April 2019
  • L. Poposka, M. Vavlukis, H. Pejkov, M. Gusev, "Comparison of 24-hour ECG-Holter Monitoring with Real-Time Long-Term ECG Monitoring System Using ECGalert software and Savvy Single-Lead Patch,", Open Access Macedonian Journal of Medical Sciences, 9(B), doi.org/10.3889/oamjms.2021.4960, 12-17. 2021
  • M. Gusev, L. Poposka, G. Spasevski, M. Kostoska, B. Koteska, M. Simjanoska, N. Ackovska, A. Stojmenski, J. Tasic, J. Trontelj, “Non-invasive Glucose Measurement using Machine Learning and Neural Network Methods, and Correlation to Heart Rate Variability”, Journal of Sensors, IF 2.024, special issue, Sensor Systems for Personal Wellbeing and Healthcare, Volume 2020, Article ID 9628281, doi: 10.1155/2020/9628281, 2020
  • M. Gusev, “Dew Computing Architecture for Cyber-Physical Systems and IoT”, Journal Internet of Things, vol.11, no.100186, doi.org/10.1016/j.iot.2020.100186, 2020
  • I. Vishinov, M. Gusev, L. Poposka and M. Vavlukis, “Correlating Glucose Regulation with Lipid Profile”, in ICT Innovations 2020, Computer Science and Information Systems, (ed. V. Dimitrova and I. Dimitrovski), Springer Verlag, Berlin Heidelberg, 2020, volume CSIS 1316, 978-3-030-62098-1, doi.org/10.1007/978-3-030-62098-1, pp.217-227.
  • D. Dojchinovski, M. Gusev, “Selecting an Optimal Training Dataset for Machine Learning based Atrial Fibrillation Detection”, in ICT Innovations 2020, Computer Science and Information Systems, (ed. I. Dimitrovski and V. Dimitrova), web proceedings, 2020.
  • E. Shaqiri, , M. Gusev, L. Poposka, M. Vavlukis, “Correlating Heart Rate Variability to Glucose Levels”, in ICT Innovations 2020, Computer Science and Information Systems, (ed. I. Dimitrovski and V. Dimitrova), web proceedings, 2020.
  • A. Stojmenski, M. Gusev, L. Poposka, M. Vavlukis, “Heart Rate Variability of 30-minute ECG Measurements and Correlation to Glucose Levels”, Proceedings of the Telfor 2020, IEEE Conference, 2020, pp.1-4, DOI: 10.1109/TELFOR51502.2020.9306538
  • I. Vishinov, M. Gusev, L. Poposka, M. Vavlukis, “Correlating Short-Term Heart Rate Variability and Instantaneous Blood Glucose Measurements”, Proceedings of the Telfor 2020, IEEE Conference, 2020, pp.1-4, DOI: 10.1109/TELFOR51502.2020.9306517
  • G. Temelkov, A. Spasovska, M. Gusev, “The ECGview Tool for Time and Frequency Domain ECG Visualization and Signal Generation”, Proceedings of the Telfor 2020, IEEE Conference, 2020, pp.1-4, DOI: 10.1109/TELFOR51502.2020.9306569
  • E. Ajdaraga Krluku, M. Gusev, “Optimal Filter Length to Identify Uninterpretable Electrocardiograms”, Proceedings of the Telfor 2020, IEEE Conference, 2020, pp.1-4, DOI: 10.1109/TELFOR51502.2020.9306632
  • E. Shaqiri, and M. Gusev, “Deep Learning Method to Estimate Glucose Level from Heart Rate Variability”, Proceedings of the Telfor 2020, IEEE Conference, 2020, pp.1-4, DOI:10.1109/TELFOR51502.2020.9306609
  • E. Shaqiri, and M. Gusev, “A Programmatic Approach for Development of the ViewHRV Service Platform with Accurate and Reliable Results”, MIPRO 2020/DSBE, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, 2020, pp. 361-366, DOI:10.23919/MIPRO48935.2020.9245419
  • E. Ajdaraga, and M. Gusev, “Detection of Uninterpretable ECG Signal Segments”, MIPRO 2020/DSBE Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, 2020, pp. 355-360, DOI:10.23919/MIPRO48935.2020.9245427
  • M. Gusev, L. Poposka, E. Guseva, M. Kostoska, B. Koteska, M. Simjanoska, N. Ackovska and A. Stojmenski “Trends from Minimally Invasive to Non-invasive Glucose Measurements”, MIPRO 2020/DSBE, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, 2020, pp.333-338, DOI:10.23919/MIPRO48935.2020.9245402
  • M. Gusev, E. Guseva, and L. Poposka “Design of a Non-invasive ECG-Based Glucose Measurement”, MIPRO 2020/DSBE, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, 2020, pp.321-326, DOI:10.23919/MIPRO48935.2020.9245403
  • M. Gusev, “Impact of Dew Computing on Cyber-Physical Systems and IoT”, MIPRO 2020, Proceedings of 43rd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISSN 1847-3946, 2020, pp. 2253-2257, DOI:10.23919/MIPRO48935.2020.9245267
  • I. Vishinov, M. Gusev, L. Poposka, M. Vavlukis, “Correlating the Cholesterol Levels to Glucose for Men and Women”, CiiT 2020, Skopje, Macedonia, 2020, http://ciit.finki.ukim.mk/, paper 43, 2020.
  • D. Dojchinovski, M. Gusev, “Segment Labeling Method for ML-based AFIB Detection”, CiiT 2020, Skopje, Macedonia, 2020, http://ciit.finki.ukim.mk/, paper 40, 2020.
  • M. Gusev, “Dew Computing Architecture for Cyber-Physical Systems and IoT”, Dew Computing DEWCOM 2019, pp.1-7, DOI:10.1016/j.iot.2020.100186
  • M. Gusev, G. Spasevski, E. Kikirkova, L. Poposka, “Long–term single-lead ECG monitoring with the ECGalert system for AF screening”, Cardio Congress 2019, Ohrid, North Macedonia, pp.47-48.
  • E. Domazet and M. Gusev, “Improving the QRS Detection for One-channel ECG Sensor”, Journal of Technology and Health Care, IF 0.719, ISSN 0928-7329, 1878-7401, 1 (2019) 1–20 1 DOI: 10.3233/THC-181589
  • M. Gusev, B. Koteska, M. Kostoska, B. Jakimovski, O. Scekic, S. Dustdar, T. Rausch, S. Nastic, S. Ristov, and T. Fahringer, “A Deviceless Edge Computing Approach for Streaming IoT Applications”, IEEE Internet Computing, IF 1.929, ISSN 1089-7801, 1941-0131, doi=10.1109/MIC.2019.2892219, vol. 23, no. 1, pp.37-45, 2019.
  • E. Ajdaraga Krluku, M. Gusev and V. Zdraveski, “Bi-Source Verification Against Silent Data Corruption in High Performance Computing”, BCI 2019, Proceedings of 9th Balkan Conf. in Informatics, Sofia, Bulgaria, DOI=10.1145/3351556.3351567, ACM International Conference Proceedings, 2019, art.no.30
  • A. Ilievski, D. Dojchinovski and M. Gusev, “Interactive Voice Assisted Home Healthcare Systems”, BCI 2019, Proceedings of 9th Balkan Conf. in Informatics, Sofia, Bulgaria, DOI=10.1145/3351556.3351572, ACM International Conference Proceedings, 2019, art.no.19
  • D. Dojchinovski, A. Ilievski, and M. Gusev. "Interactive home healthcare system with integrated voice assistant" MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2019, pp.284-288, DOI:10.23919/MIPRO.2019.8756983
  • E. Ajdaraga, M. Gusev, L. Poposka, “Evaluation of User Satisfaction with the ECGalert System”, MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2019, pp.355-360, DOI:10.23919/MIPRO.2019.8756722
  • M. Gusev, M. Boshkovska, “Performance Evaluation of Atrial Fibrilation Detection”, MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2019, pp.355-360, DOI:10.23919/MIPRO.2019.8757193
  • E. Ajdaraga, M. Gusev, “Analysis of a Differential Noise Detection Filter in ECG Signals”, MIPRO 2019, Proceedings of 42nd Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2019, pp.314-319.
  • M. Boshkoska, M. Gusev, V. Zdravevski, “Parallel implementation of an algorithm for Atrial Fibrillation detection using RR intervals and Shannon entropy”, Proceedings of the Telfor 2018, IEEE Conference, 2018, pp.1-4, DOI:10.1109/TELFOR.2018.8612044
  • A. Ilievski, V. Zdravevski, M. Gusev, “How CUDA powers the Machine Learning revolution”, Proceedings of the Telfor 2018, IEEE Conference, 2018, pp.420-425, DOI:10.1109/TELFOR.2018.8611982
  • M. Gusev, “Edge and Dew computing for streaming IoT”, Proceedings of 3rd Int. Workshop on Dew Computing, DEWCOM 2018, Toronto, Oct. 2018. pp.1-7.
  • M. Gusev, and E. Domazet, “Optimizing the Impact of Resampling on QRS detection”, in ICT Innovations 2018, Computer Science and Information Systems, (ed. S. Kalajdziski and N. Ackovska), Springer Verlag, Berlin Heidelberg, 2018, volume CSIS 940, ISBN 978-3-030-00825-3, doi.org/10.1007/978-3-030-00825-3_10, pp.107-119.
  • E. Domazet, and M. Gusev, “Amplitude rescaling influence on QRS detection”, in ICT Innovations 2018, Computer Science and Information Systems, (ed. S. Kalajdziski and N. Ackovska), Springer Verlag, Berlin Heidelberg, 2018, volume CSIS 940, DOI:10.1007/978-3-030-00825-3_22, pp.259-272.
  • M. Gusev and E. Domazet, “Optimal DSP Bandpass Filtering for QRS detection”, in MIPRO 2018, Proceedings of 41th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2018, pp.327-332, DOI:10.23919/MIPRO.2018.8400058
  • D. Stamenov, D. Venov, M. Gusev, “Scalability Performance Evaluation of the E-Ambulance Software Service”, in MIPRO 2018, Proceedings of 41th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2018, pp.348-353, DOI:10.23919/MIPRO.2018.8400062
  • D. Stamenov, M. Gusev and G. Armenski, “Interoperability of ECG standards”, in MIPRO 2018, Proceedings of 41th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2018, pp.343-347, DOI:10.23919/MIPRO.2018.8400061
  • M. Gusev and S. Dustdar, “Going Back to the Roots – The Evolution of Edge Computing, An IoT Perspective”, IEEE Internet Computing, IF 1.929, 2018, Volume 22, Issue 2, pp 5-15, DOI: 10.1109/MIC.2018.022021657
  • M. Gusev, “On the Borders of Edge Computing and IoT”, Proceedings of 5th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2018, ETRAN Society, Belgrade, Academic Mind, Belgrade, ISBN 978-86-7466-752-1, Palić, Serbia, June 11 – 14, 2018, pp.1078-1083.
  • E. Ajdaraga and M. Gusev, “Analysis of Sampling Frequency and Resolution in ECG Signals”, Proceedings of the Telfor 2017, IEEE Conference, 2017, pp.685-688, DOI:10.1109/TELFOR.2017.8249438
  • E. Domazet, M. Gusev, and L. Antovski, “Design Specification of an ECG Mobile Application”, Proceedings of the Telfor 2017, IEEE Conference, 2017, pp.709-712, DOI:10.1109/TELFOR.2017.8249444
  • M. Gusev, L. Poposka, E. Guseva, “Applicability of the ECGalert solution”, Proceedings of the Telfor 2017, IEEE Conference, 2017, pp.681-684, DOI:10.1109/TELFOR.2017.8249437
  • M. Gusev, A. Ristovski, and A. Guseva, “Pattern Recognition of a Digital ECG”, in ICT Innovations 2016, Advances in Intelligent and Soft Computing, (ed. A. Kulakov and G. Stojanov), Springer Verlag, Berlin Heidelberg, 2016, volume AISC, pp.93-102, DOI: doi.org/10.1007/978-3-319-68855-8_9
  • A. Milchevski, and M. Gusev, “Performance evaluation of FIR and IIR filtering of ECG signals”, in ICT Innovations 2016, Advances in Intelligent and Soft Computing, (ed. A. Kulakov and G. Stojanov), Springer Verlag, Berlin Heidelberg, 2016, volume AISC, pp.103-112, DOI: doi.org/10.1007/978-3-319-68855-8_10
  • M. Gusev, S. Patel, J. Tasic, “Stimulating Intellectual Activity with Adaptive Environment (SMILE)”, BCI 2017, Proceedings of 8th Balkan Conf. in Informatics, Skopje, Macedonia, ACM International Conference Proceedings, 2017, pp.18.1-18.4, DOI: doi.org/10.1145/3136273.3136283
  • E. Domazet, M. Gusev, Lj. Antovski, “A Time-Critical Mobile Application based on ECG Medical Monitoring”, BCI 2017, Proceedings of 8th Balkan Conf. in Informatics, Skopje, Macedonia, ACM International Conference Proceedings, 2017, pp.3.1-3.4., DOI: doi.org/10.1145/3136273.3136281
  • M. Gusev, A. Stojmenski, and A. Guseva, “ECGalert: A Heart Attack Alerting System”, in ICT Innovations 2017, Computer Science and Information Systems, (ed. D. Trajanov and V. Bakeva), Springer Verlag, Berlin Heidelberg, 2017, volume CSIS, pp.27-36, DOI: doi.org/10.1007/978-3-319-67597-8_3
  • S. Nastic; T. Rausch; O. Scekic; S. Dustdar; M. Gusev; B. Koteska; M. Kostoska; B. Jakimovski; S. Ristov; R. Prodan, “A Serverless Real-Time Data Analytics Platform for Edge Computing”, IEEE Internet Computing, IF 1.929, 2017, Volume 21, Issue 4, pp 64-71, DOI: 10.1109/MIC.2017.2911430.
  • A. Milchevski, and M. Gusev, “Improved pipelined wavelet implementation for filtering ECG signals”, Pattern Recognition Letters, IF 1.995, Elsevier, Volume 95, Aug 2017, pp.85-90, DOI: doi.org/10.1016/j.patrec.2017.06.005
  • M. Gusev, A. Guseva, “State-Of-The-Art of Cloud Solutions Based on ECG Sensors”, Proceedings of the IEEE EuroCon 2017, pp.501-506, DOI: 10.1109/EUROCON.2017.8011162
  • M. Gusev, “A Dew Computing Solution for IoT Streaming Devices”, in MIPRO 2017, Proceedings of 40h Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2017, pp.415-420, DOI: 10.23919/MIPRO.2017.7973454
  • A. Ristovski, M. Gusev, “SaaS Solution for ECG Monitoring Expert System”, in MIPRO 2017, Proceedings of 40h Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2017, pp.327-332, DOI: 10.23919/MIPRO.2017.7973440
  • E. Domazet, and M. Gusev, “Parallelization of Digital Wavelet Transformation of ECG Signals”, in MIPRO 2017, Proceedings of 40h Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2017, pp.337-342, DOI: 10.23919/MIPRO.2017.7973442
  • E. Domazet, and M. Gusev, “Optimal Parallel Wavelet ECG Signal Processing”, in Proceedings of the 14th Conf on Informatics and Information Technologies, (Editors Trivodaliev, Tojtovska, Mitrovikj) CiiT 2017, Bitola, Macedonia, 2017, http://ciit.finki.ukim.mk/, pp.97-102.
  • E. Domazet, M. Gusev and S. Ristov, “Optimizing High-Performance CUDA DSP Filter for ECG signals”, Proceedings of 27th DAAAM International Symposium, 2016, Annals of DAAAM & Proceedings, 2016, Vol. 27, pp.623-632, DOI: 10.2507/27th.daaam.proceedings.091
  • M. Gusev, A. Ristovski and A. Guseva, “Distribution of Premature Heartbeats”, Proceedings of the Telfor 2016, IEEE Conference, 2016, pp.407-410, DOI: 10.1109/TELFOR.2016.7818808
  • J. Tasic, M. Gusev, S. Ristov, “A Medical Cloud”, in MIPRO 2016, Proceedings of 39th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2016, pp.425-430, DOI: 10.1109/MIPRO.2016.7522176
  • A. Ristovski, A. Guseva, M. Gusev, S. Ristov, “Visualization in the ECG QRS Detection Algorithms”, in MIPRO 2016, Proceedings of 39th Int. Convention on ICT, Opatija, Croatia, IEEE Conference proceedings, ISBN 978-953-233-087-8, 2016, pp.218-223, DOI: 10.1109/MIPRO.2016.7522138
  • M. Gusev, A. Stojmenski, and I. Chorbev, “Challenges for development of an ECG m-Health solution”, in Journal Emerging Research and Solutions in ICT, http://www.ersict.org/, DOI:10.20544/ERSICT, vol.1, no.2, pp.25-38, 2016
  • E. Domazet, M. Gusev, and S. Ristov, “CUDA DSP filter for ECG signals”, in Proceedings of the Int. Conf. on Applied Internet and Information Technologies, (Editors Mitrevski) AiiT 2016, Bitola, Macedonia, 3-4.06.2016, http://www.aiitconference.org/, DOI:10.20544/AIIT2016.35, pp.280-288.
  • A. Stojmenski, M. Gusev, and I. Chorbev, “A mobile application for ECG detection and feature extraction”, in Proceedings of the Int. Conf. on Applied Internet and Information Technologies, (Editors Mitrevski) AiiT 2016, Bitola, Macedonia, 3-4.06.2016, http://www.aiitconference.org/, DOI:10.20544/AIIT2016.37, pp.299-306.
  • E. Domazet, M. Gusev, and S. Ristov, “Dataflow DSP Filter for ECG Signals”, in Proceedings of the 13th Conf on Informatics and Information Technologies, (Editors Kostoska, Mirchev, Gramatikovski) CiiT 2016, Bitola, Macedonia, 2016, http://ciit.finki.ukim.mk/
Contact

hello [at] glyco [dot] com