Medical Technology

Medical Technology is a hub where clinicians, engineers, scientists, and others work together on research and development of various healthcare-focused technology represented into five Research Groups:

  1. Biomaterials and Biofabrication
  2. Biomechanics and Rehabilitation Technology
  3. Medical Instrumentation and Simulators
  4. Neurotechnology
  5. Artificial Intelligence in Medicine and Digital Health

Medical Technology also provide services accessible for anyone who require assistance on performing research and development activities delivered by three Core Facility Services:

  1. Medical Data Recording and Processing
  2. Medical Instrumentation and Workshop
  3. Medical Application and Digital System Development

On Going Research

  • Quantitative Electroencephalography (qEEG) and Neurofeedback (in collaboration with Neurology Department FKUI-RSCM).
  • Effects of Congenital Deafness on Brain Activity and Connectivity with Cochlear Implant Stimulation (in collaboration with Hannover Medical School).
  • Modulating Auditory Cortical Responses with Intracortical Microstimulation (in collaboration with Hannover Medical School).
  • Tele-CTG (Cardiotocography) (in Collaboration with Sehati and Department of Obstetrics and Gynaecology, FMUI – RSCM).
  • Preparation of Bipotential Membrane Based On Adipose Tissue Derived-Extracellular Matrix and
  • Hydroxyapatite (in collaboration with Stem Cell Research Cluster IMERI).

Projects for 2019 :

  • Preparation and evaluation of extracellular matrix scaffold from adipose tissue medical waste of Indonesia patients.
  • Generation and Evaluation of Fish Powder from Indonesia Marine Byproducts as Supplementary Food for Prevention of Stunting Amongst Indonesian Children.
  • Utilization of fishery waste for nutrition, pharmaceuticals, cosmetics, and tissue engineering.
  • Instrumentation of EASEPort NPWT (Effective, affordable, safe, easily handled, and portable Negative Pressure Wound Therapy) (in collaboration with Division of Plastic Surgery, Department of Surgery, FMUI – RSCM).
  • Preparation of bipotential membrane based on adipose tissue derived-extracellular matrix and hydroxyapatite (in collaboration with stem cell research cluster).
  • Development of post brain injury training tools using robot (in collaboration with Neurosurgery Department FKUI-RSCM and UNY Students).
  • The implementation of Neurofeedback as a stimulator and monitoring the development of brain regeneration.
  • Mechanical bed to prevent decubitus injuries.
  • Digitalization public awareness stroke in the community.
  • Effects of Congenital Deafness on Brain Activity and Connectivity with Cochlear Implant Stimulation (collaboration with Hannover Medical School).
  • Design and Implementation of Android-based Pure Tone Audiometer.
  • Design and Implementation of Free-Field Screening Audiometer for Infants.

Biomaterials and Biofabrication.

  • Utilization of fish powder for stunting prevention.
  • Development of adipose-based scaffold.
  • Isolation, characterization, and expansion of breast milk derived-embryonic stem cells.
  • Development of fibrin-based scaffold.
  • Development of polymer-based scaffold with antimicrobial agent.

Biomechanics and Rehabilitation Technology

  • Kinect-based gait analysis for elderly DM patients.
  • Webcam-based gait analysis for telemonitoring of sport therapy.
  • Orthotics for rehabilitation

Medical Instrumentation and Simulators

  • Development of negative pressure wound therapy.
  • Development of wound irrigation system.
  • Development of phantom for medical education.
  • UVC-based sterilization performance test.
  • CARDIUM – CARDIO AND DIABETES RISK MEASUREMENT as screening tools for non communicable diseases (cardiovascular and diabetes).

Neurotechnology

  • Developmental sensory deprivation weakens interareal coupling in the auditory connectome.
  • Absence of Early Hearing Experience Reduces Evoked Theta and Induced Alpha Activity in the Auditory Cortex.
  • The Effect of Aromatherapy Based on Indonesian Local Wisdom on Human Brain Waves (Electroencephalogram).
  • Investigating Theta-Gamma Coupling in Electroencephalography as a predictor of spatial working memory performance.
  • Investigating Predictive Control during Delayed Visuomotor Tracking in Schizophrenia Patients to Elucidate Mechanisms of Hallucinations.
  • Correlation of Auditory Cortical Threshold and Auditory Brainstem Threshold in Hearing and Deaf Cats.

Artificial Intelligence in Medicine and Digital Health

  • The RAIT Study – CAD4TB : Prediction of Tuberculosis Disease Using Chest X-Ray (CXR) and Artificial Intelligence.
  • The FIGHT COVID-19 Study : Scoring of Pneumonia COVID-19 Using Chest X-Ray (CXR) and Artificial Intelligence.
  • Clinical Epidemiological and Radiological Based Scoring to Predict Tumor Regrowth in Patients with Meningioma using Machine Learning.
  • Skin Viability Detection using AI-enhanced Photographic Analysis for Plastic Surgery Application.
  • Analysis of breath sounds (coughing of shortness breath vs coughing of COVID-19) using machine learning.
  • Digital stethoscope: (Classification of abnormal lung sounds based on Machine learning.
  • Early Detection of Psychotic Mental Disorders in High-Risk Adolescents using Semantic Analysis and syntax based on Machine learning.
  • Cervicam : screening lesions for cervical pre-cancer using the IVA method with an image-recognition model and Artificial Intelligence.
  • Synergy of MAHADATA Universitas Indonesia in Response to COVID-19: Evaluation of Large-scale social restriction (PSBB) and Mental Health.
  • Spinal Stem Cell Recognition Simulator (Splinter).
  • Diabetic Retinopathy – RetCAD. Classification of Diabetic Disease Based on Retinopathy Image Using Digital Image Processing and Artificial Intelligence.
  • EndCorona: Smartphone-based Self COVID-19 Risk Assessment and Education Platform.
  • TelMed: Smartphone-based Telemedicine for hospitals and health facilities during COVID-19 Pandemic in Indonesia.
  • The Development of Smartphone-based App ASLI (APLIKASI “SMART” LANSIA INDONESIA) for Medical Personnels.
  • The Development of an Android-based Lung Sounds Auscultation Classification using Convolutional Neural Network Model.
  • Application of Artificial Intelligence – Machine Learning for Clinical Outcome Prediction of Anterior.
  • Circulation Acute Ischemic Stroke Thrombolysis Therapy using Brain CT-scan, Clinical, and Laboratory Data

Publication

Biomaterials and Biofabrication

  • Suhaeri M, et. al. 2020. Thermoresponsive and Suspension Forming Cyclotriphosphazene Conjugate for Delivery Vehicle of Antitumor Drug Camptothecin. Journal of Drug Delivery Science and Technology. 102049. https://doi.org/10.1016/j.jddst.2020.102049.
  • Suhaeri M, et. al. 2020. Novel skin patch combining human fibroblast-derived matrix and ciprofloxacin for infected wound healing. Journal of Theranostics. 8(18):5025-5038. https://dx.doi.org/10.7150%2Fthno.26837.

Biomechanics and Rehabilitation Technology

  • Nadhif, et. al. 2019. Gait Analysis for Alzheimer’s Disease Therapies using KinectTM : AIP Conference Proceedings 2193, 050002 (2019). https://doi.org/10.1063/1.5139375.
  • Nadhif, et. al. 2019. Gait Analysis for Biometric Surveillances Using Kinect™: A Study Case of Axial Skeletal Movements. International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering. DOI: 10.1109/QIR.2019.8898273

Medical Instrumentation and Simulators

  • Nadhif, et. al. 2019. Fabrication and Characterization of an Affordable Condition Bio-Specimen Transporter (CONBIPORT) for Urban Areas. International Journal of Technology 10(8): 1626-1634. DOI: 10.14716/ijtech.v10i8.3523
  • Nadhif, et. al. 2020. Development and Performance Analysis of an Electrically Automated Portable Negative Pressure Wound Therapy (El Cuero) Sling Bag. International Journal of Advanced Science and Technology. PP. 3163 – 3174. ISSN: 2005-4238 IJAST

Neurotechnology

  • Voight, et. al. 2018. Intracortical microstimulation modulates cortical induced responses. Journal of Neuroscience. 38 (36) 7774-7786. https://doi.org/10.1523/JNEUROSCI.0928-18.2018
  • Susilaradeya D, et. al. 2019. Extrinsic and intrinsic dynamics in movement intermittency. Elife. 2019 Apr 8;8:e40145. DOI: 10.7554/eLife.40145

Artificial Intelligence in Medicine and Digital Health.

Biomechanics and Rehabilitation Technology.

Biomaterial

Medical Intrumentation

Collaboration

  1. Institute of AudioNeuroTechnology and Department of Experimental Otology of the ENT Clinics, Hannover Medical School, Germany.
  2. J.W. Goethe University, Department of Otorhinolaryngology, Frankfurt am Main, Germany.
  3. Ernst Strüngmann Institut (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany.
  4. Dept. of Biomedical Sciences, School of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
  5. Delft Imaging (DIS), Netherland.
  6. Institute of Neuroscience, Newcastle University, UK.
  7. Faculty of Computer Science – Universitas Indonesia, Indonesia.
  8. Cipto Mangunkusumo General Hospital (RSCM), Indonesia.
  9. Mohammad Hosein General Hospital (RSMH), Indonesia.
  10. IHC Dharmais Cancer Hospital, Indonesia.
  11. Institut Teknologi Bandung (ITB), Indonesia.
  12. Universiti Teknologi Malaysia (UTM), Malaysia.
  13. Agency for the Assessment and Application of Technology (BPPT), Indonesia.
  14. Indonesian Institute of Sciences (LIPI), Indonesia.
  15. PT. Sanghiang Perkasa, Indonesia.
  16. PT. Martina Berto, Indonesia.
  17. PT. Sehati Tele-CTG, Indonesia

Organization