Design & Development of Incontinence Monitoring & Detection System
Executive Summary
The client is a leading technology-enabled healthcare service provider that focuses on providing remote health monitoring and diagnostic solutions for self-care inside or outside hospitals. The client wanted to develop a system that can monitor and detect the Ammonia (NH3) gas produced by human Incontinence excreta and notify healthcare providers of any discrepancy. To have a competitive edge, the client wanted their product to be price competitive as well. They were looking for an engineering partner who has end-to-end solutions experience from hardware design to cloud deployment.
eInfochips took complete responsibility for product design and development. At the same time, eInfochips was also able to improve the accuracy of the product and reduced the Total-Cost-Of-Ownership (TCO) by 20%.
Project Highlights
- Based on NXP i.MX processor, RT MCU
- Lower power, small form factor device
- Incontinence detection algorithm based on FOD (First Order Derivative)
- Azure-based cloud infrastructure
- Multiple environmental parameter-detecting sensors
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Executive Summary
The client is a leading technology-enabled healthcare service provider that focuses on providing remote health monitoring and diagnostic solutions for self-care inside or outside hospitals. The client wanted to develop a system that can monitor and detect the Ammonia (NH3) gas produced by human Incontinence excreta and notify healthcare providers of any discrepancy. To have a competitive edge, the client wanted their product to be price competitive as well. They were looking for an engineering partner who has end-to-end solutions experience from hardware design to cloud deployment.
eInfochips took complete responsibility for product design and development. At the same time, eInfochips was also able to improve the accuracy of the product and reduced the Total-Cost-Of-Ownership (TCO) by 20%.
Project Highlights
- Based on NXP i.MX processor, RT MCU
- Lower power, small form factor device
- Incontinence detection algorithm based on FOD (First Order Derivative)
- Azure-based cloud infrastructure
- Multiple environmental parameter-detecting sensors
To download this resource
Fill in the details below
Executive Summary
The client is a leading technology-enabled healthcare service provider that focuses on providing remote health monitoring and diagnostic solutions for self-care inside or outside hospitals. The client wanted to develop a system that can monitor and detect the Ammonia (NH3) gas produced by human Incontinence excreta and notify healthcare providers of any discrepancy. To have a competitive edge, the client wanted their product to be price competitive as well. They were looking for an engineering partner who has end-to-end solutions experience from hardware design to cloud deployment.
eInfochips took complete responsibility for product design and development. At the same time, eInfochips was also able to improve the accuracy of the product and reduced the Total-Cost-Of-Ownership (TCO) by 20%.
Project Highlights
- Based on NXP i.MX processor, RT MCU
- Lower power, small form factor device
- ncontinence detection algorithm based on FOD (First Order Derivative)
- Azure-based cloud infrastructure
- Multiple environmental parameter-detecting sensors
To download this resource
Fill in the details below
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