1)Continuous Monitoring β Track vital signs like heart rate, blood pressure, oxygen saturation, glucose, and sleep patterns in real time.
2)Early Detection β Identify abnormal trends (e.g., irregular heartbeat, oxygen dips, glucose fluctuations) before they progress into serious conditions.
3)Personalized Health Insights β Provide data-driven feedback tailored to the userβs lifestyle, activity levels, and risk factors.
4)Encourages Healthy Lifestyle β Promotes physical activity, balanced sleep, stress management, and diet tracking with reminders and progress reports.
5)Disease Prevention β Helps in monitoring chronic disease risks (diabetes, hypertension, obesity, cardiac issues) and preventing complications.
6)Remote Patient Monitoring β Enables doctors to access real-time patient data, reducing hospital visits and improving preventive care.
7)Behavioral Change Support β Gamification and goal-setting features motivate users to stick to preventive health routines.
8)Emergency Alerts β Devices can detect falls, cardiac abnormalities, or low oxygen levels and alert caregivers/health professionals instantly.
9)Cost-Effective Healthcare β Reduces healthcare costs by preventing disease progression and avoiding unnecessary hospitalizations.
10)Data for Public Health β Aggregated wearable data can support epidemiological studies and preventive health strategies at the population level.
MBH/AB