ElidanLord MyTime Platform: Voice-Derived Functional Monitoring for Longitudinal Estimation of Oxidative Stress and Health Potential in Remote Patient Monitoring Workflows
Remote Patient Monitoring (RPM) systems currently rely on device-derived physiological variables such as heart rate and oxygen saturation to assess patient stability. However, these parameters do not capture behavioral or neurophysiological adaptations associated with autonomic dysregulation and oxidative stress. The ElidanLord MyTime™ [101] platform introduces a multimodal functional monitoring framework that integrates encrypted voice-derived biomarkers —including fundamental frequency, amplitude, intensity, and prosodic stability— with wearable physiological inputs to estimate an Oxidative Stress Index (OSI%). This index is longitudinally derived and subsequently used to compute the Health Potential (HP%) of the monitored subject according to the relationship: HP% = 100 − OSI%. Patients may be algorithmically stratified into targeted supportive pathways based on stress predominance patterns within RPM workflows supervised by Primary Care Providers (PCPs). This non-invasive monitoring model enables scalable longitudinal surveillance of physiological adaptation in patients with chronic conditions, supporting early detection of functional dysregulation and personalized intervention planning within CMS-compatible RPM infrastructures.
Keywords: ElidanLord MyTime; Platform; Voice biomarkers; Remote Patient Monitoring (RPM); Systemic oxidative stress; Functional health monitoring; Autonomic nervous system; Vagal tone; Non-invasive assessment; Digital health; Healthy aging; Multimodal physiological monitoring; Bioacoustic analysis; Chronic disease risk stratification; Moringa oleifera; Lymphatic support; Preventive healthcare technologies.
