Logo :
Project owner's name :
Mrs abualinin sara
Mrs abualinin sara
Country of deployment for the project :
Jordan
Jordan
Sector :
Health
Health
What problem does your company want to solve? :
The absence of dedicated diagnostic tools for Parkinson's disease exacerbates the challenges in accurately identifying and managing the condition. Currently, diagnosis heavily relies on the subjective
The absence of dedicated diagnostic tools for Parkinson's disease exacerbates the challenges in accurately identifying and managing the condition. Currently, diagnosis heavily relies on the subjective
What solution does your company provide? :
Our proposed solution aims to revolutionize the diagnosis and monitoring of Parkinson's disease by integrating sensors, microcontrollers, AI technology, and user-friendly applications.
Our proposed solution aims to revolutionize the diagnosis and monitoring of Parkinson's disease by integrating sensors, microcontrollers, AI technology, and user-friendly applications.
Describe your project :
addressing the challenges of Parkinson's disease diagnosis and monitoring, our device offers a comprehensive approach to early diagnosis and continuous monitoring of the condition. The incorporation of sensors allows for the collection of precise and objective data on various aspects of movement and physiological indicators associated with Parkinson's disease. providing valuable insights into the progression of the disease. The microcontrollers within the device process the data collected by the sensors in real-time, enabling rapid analysis and interpretation. This instantaneous processing allows for immediate feedback , facilitating early intervention strategies and personalized treatment plans. The heart of our solution lies in the AI technology that powers the diagnostic capabilities of the device. Through machine learning algorithms, the AI model continuously learns from incoming data, refining its diagnostic accuracy over time. This adaptive nature ensures that the device can keep pace with the evolving characteristics of Parkinson's disease and deliver reliable and precise diagnoses. Accompanying applications provide a user-friendly interface for both patients and healthcare professionals, streamlining the diagnostic process and enhancing communication and collaboration. Patients can easily input symptoms, track their progress, and receive personalized recommendations, empowering them to take an active role in their care.
addressing the challenges of Parkinson's disease diagnosis and monitoring, our device offers a comprehensive approach to early diagnosis and continuous monitoring of the condition. The incorporation of sensors allows for the collection of precise and objective data on various aspects of movement and physiological indicators associated with Parkinson's disease. providing valuable insights into the progression of the disease. The microcontrollers within the device process the data collected by the sensors in real-time, enabling rapid analysis and interpretation. This instantaneous processing allows for immediate feedback , facilitating early intervention strategies and personalized treatment plans. The heart of our solution lies in the AI technology that powers the diagnostic capabilities of the device. Through machine learning algorithms, the AI model continuously learns from incoming data, refining its diagnostic accuracy over time. This adaptive nature ensures that the device can keep pace with the evolving characteristics of Parkinson's disease and deliver reliable and precise diagnoses. Accompanying applications provide a user-friendly interface for both patients and healthcare professionals, streamlining the diagnostic process and enhancing communication and collaboration. Patients can easily input symptoms, track their progress, and receive personalized recommendations, empowering them to take an active role in their care.
Presentation video :
https://www.instagram.com/sara.abualininn_?igsh=MzRlODBiNWFlZA==