The startup develops a wearable, non-invasive medical device and a mobile application that continuously monitor and record symptoms of Parkinson's disease. This system enhances patient-physician communication and supports clinical decision-making by providing real-time, objective data on symptom progression.
Funding
$23.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
CIFounders
Product
Problem
Current methods for monitoring Parkinson's disease rely on infrequent, subjective assessments during clinical visits, which may not capture the full spectrum of a patient's symptoms or their fluctuations over time. This limited data hinders effective treatment adjustments and personalized care plans.
Solution
PD Neurotechnology offers a comprehensive solution for continuous, objective monitoring of Parkinson's disease symptoms using a wearable sensor system and a patient-facing mobile application. The PDMonitor system tracks and records a range of motor and non-motor symptoms, providing real-time data on symptom severity and frequency. This data is then transmitted to a web-based platform accessible to healthcare professionals, facilitating improved patient-physician communication and enabling data-driven clinical decision-making. The system aims to enhance the overall patient experience by providing a more complete and accurate picture of their condition.
Target Audience
The primary target audience includes neurologists, movement disorder specialists, and other healthcare professionals involved in the management of Parkinson's disease, as well as patients with Parkinson's disease seeking improved symptom monitoring and personalized treatment.
Features
- Multi-sensor wearable device for continuous, real-time monitoring of motor symptoms such as tremor, bradykinesia, and dyskinesia
- Integrated mobile application for patients to record non-motor symptoms, medication intake, and daily activities
- Cloud-based platform for secure data storage and analysis
- Web-based physician tool for remote patient monitoring, data visualization, and report generation
- AI-powered algorithms for automated symptom detection and severity scoring
- Integration with electronic health record (EHR) systems for seamless data sharing
- CE marked, Class IIa medical device