Welcome to
SERG Technologies
Intelligent Digital Solutions
Redefining Parkinson’s Care
Parkinson’s is a difficult disease to manage
With progression, symptoms change, sometimes becoming more frequent, more adverse, and more severe.
Treatment methodologies and therapies become increasingly complex over time.
We believe each patient should receive a personalised care plan tailored to their needs, to improve or preserve their quality of life and maintain dignity.
12,000,000 people live with Parkinson's worldwide
Our Vision
Technology, Therapy, Scalability
Pioneering new digital health solutions
The future of healthcare is bright: wearable sensing, the Internet of Things (IoT), digital medicine, and AI... but how can these technologies radically change Parkinson’s care?
At SERG Technologies, we bring together experts in bio-mechatronics and clinical neurology to do just that.
We are refining our proprietary sensing suite and algorithms that objectively quantify Parkinsonian motor symptoms in and out of the clinic.
Our technology can enhance the different pillars of Parkinson’s care: symptom tracking, DBS programming, medication, and associated therapies.
The SERG Platform
-
Rate Symptom Assessments
-
Precision Scores
-
DBS Programming Integration (StimSense)
Symptom Rating
Medication Response
-
Monitor Symptom At-Home
-
Measure Fluctuations
-
Calibrate Dosage & Schedule
Therapies
-
Plan & Execute Programmes
-
Pre & Post effectiveness analysis
-
Complimentary adjunct to existing pillars
Introducing
StimSense
for Accelerating DBS Programming
What is DBS (Deep Brain Stimulation)?
DBS is the cornerstone of advanced Parkinson's Therapy. It delivers an inhibitory current to the parts of the brain affected by Parkinson’s to drastically reduce the most severe motor symptoms.
Without StimSense, it can take 4 to 5 hours to program one DBS stimulator unit. In practice, this means that a clinician can only see one patient a day.
As symptoms fluctuate with disease progression, programs need to be reviewed in response to these changes.
DBS works, but the established support infrastructure around it is limited.
This is why we built StimSense
The Automated Assessment Tool for DBS Programming
StimSense at a Glance
-
Physiological Sensing Suite
-
Proprietary Biomarkers
-
AI Algorithms
-
Calibrated on Specialist Scoring
Objective Scoring
Fast, Secure, Integrated
-
Edge Device Deployment
-
Fast Light Weight Algorithms
-
Built for Integration
Automates Programming
-
Instant Feedback & Analytics
-
Cardinal Symptoms (Tremor, Bradykinesia & Rigidity)
-
High Score Resolution
Pilot Study & Evidence
We completed a pilot study in collaboration with Boston Scientific to test StimSense
inside live DBS programming sessions.
The aim was to evaluate its impact on session efficiency, decision making and clinical outcomes.
Significant Time Savings
Enables Full Automatic Programming under 90 minutes
Maintained Clinical Outcomes
Outcomes comparable to
Standard-of-Care using
Automatic Programming
High Clincian Agreement
Reliable Score Prediction (Median Correlation r = 0.74 with Specialist)
Development
Wearable & Software
Wearable Sensing
2x IMU-MMG Wearable
-
Proprietary Wearables
-
Inertial Measurement Units (IMU) for Motion Capture
-
2x Mechanomyogram (MMG) Channel for Muscle Activity
-
Wireless Streaming to Application
-
On board SD Storage for Out-of-Clinic recording
Development Software
-
Signal Acquisition
-
Device Management
-
Assessment Selection
-
Clinician Score Annotations
-
Video Conferencing for Remote Testing
-
Cloud Data Storage
-
AI-Enabled for Testing
Our Advisory Board
Prof. Francesca Morgante
Professor of Neurology Eleanor Peel Chair
City St. Georges, University of London
.jpeg)
Dr Fahd Baig
Consultant Neurologist
St George’s Hospital
Prof. Ravi Vaidyanathan
Professor in Biomechatronics
Imperial College London
Prof. Dario Farina
Chair in Neurorehabilitation Engineering
Imperial College London
Dr Yen Tai
Consultant Neurologist
Charing Cross Hospital
Our Team
Dr Samuel Wilson
CEO
Diana Darko
COO
Ewan Phillips
CFO
Dr Christos Kapatos
CBO
Dr Thomas Martineau
Lead Machine Learning Engineer
Kostas Dalakas
Lead Hardware Engineer
Dr Panipat Wattanasiri
Machine Learning Engineer
Chuni Wang
UX/UI Designer
Karl Tiemann
Senior Engineer
Norman Madeja
Clinical Research Nurse
Panagiotis Papageorgiou
Machine Learning Engineer
Netaly Gross
Neurological Physiotherapist
