Life Detection Technologies
Life Detection Technologies is a machine learning and data science company focused on transforming chronic care management, starting with anticipating COPD Exacerbations. They develop AI-powered predictive platforms using clinical-grade vital sign monitoring to enable early intervention and better management of chronic diseases such as COPD, CHF, and early Sepsis detection.
Industries
Nr. of Employees
small (1-50)
Life Detection Technologies
440 N. Wolfe Rd, Sunnyvale, CA 94085
Patents
Systems and methods for detecting physical changes without physical contact
US-11896357-B2
View DetailsSystems and methods for detecting physical changes without physical contact
US-11684283-B2
View DetailsSystems and methods for detecting physical changes without physical contact
US-11523745-B2
View Details
Systems and methods for detecting physical changes without physical contact
US-11896357-B2
View DetailsSystems and methods for detecting physical changes without physical contact
US-11684283-B2
View DetailsSystems and methods for detecting physical changes without physical contact
US-11523745-B2
View DetailsProducts
Detect-Ex longitudinal COPD study (project)
A longitudinal observational study capturing continuous overnight physiological data (heart rate, respiratory rate, motion) and daily symptom/exacerbation ratings from COPD patients to develop and validate predictive algorithms; targeted enrollment of 75 patients for one year.
Detect-Ex longitudinal COPD study (project)
A longitudinal observational study capturing continuous overnight physiological data (heart rate, respiratory rate, motion) and daily symptom/exacerbation ratings from COPD patients to develop and validate predictive algorithms; targeted enrollment of 75 patients for one year.
Services
Deployment of a passive in-home sensor pad combined with cloud analytics and machine learning to monitor overnight vital signs and provide early warning signals for COPD exacerbations to care teams.
Deployment of a passive in-home sensor pad combined with cloud analytics and machine learning to monitor overnight vital signs and provide early warning signals for COPD exacerbations to care teams.
Expertise Areas
- Predictive machine learning for chronic disease
- Remote patient monitoring
- Longitudinal clinical study execution
- Physiologic signal processing (HR/RR/waveforms)
Key Technologies
- Passive bed-embedded sensor arrays
- Overnight heart rate monitoring
- Respiratory rate monitoring
- Physiologic waveform analysis