Conditions Are Complex
Neuromuscular and central nervous system diseases such as Parkinson’s, ALS, MS, and DMD involve progressive disability and overlapping symptoms that are difficult to quantify.
Digital Movement Monitoring for Neurology Care
Neurology Patient Care with Digital Movement Monitoring
Objective mobility and gait insights for neuromuscular and central nervous system conditions where progression is complex, subtle, and difficult to quantify.
Care Challenges
Neuroprogressive conditions are difficult to track objectively
Progressive neuromuscular and CNS diseases create complex care challenges because symptoms can overlap, evolve slowly, and vary in real-world settings.
Reporting Is Subjective
Patient reporting often relies on statements like, “I think I’m slower,” or “I can’t remember,” which can lead to over- or under-expression of symptoms.
Clinical Change Can Be Hard to See
Important mobility changes may emerge between visits or in daily life, making it difficult to understand progression from clinic observations alone.
Opportunity
Unlocking opportunities in neuromuscular and CNS care
Earlier Diagnosis
Detecting disease at an earlier stage can shift treatment toward less aggressive and less expensive options.
Improved Accuracy
Objective progression detection can help avoid unnecessary tests and treatments, saving clinical resources.
Better Health Outcomes
Preventing complications through effective management can support improved health outcomes.
Remote Tracking
Digital movement monitoring brings real-world mobility into care conversations
Objective movement data can help clinicians understand daily-life gait, activity, and mobility trends that may not be visible during standard clinic visits.
Remote Tracking
Digital Movement Monitoring
Continuous monitoring of changes that are difficult to observe in clinical settings.
Real World Data
Daily-Life Movement Insight
A comprehensive view of how patients move in their everyday environment.
Proven Technology
Clinical Trial Experience
Captures gait and mobility trends used in global clinical trials.
Comprehensive Movement Data
Movement intelligence from activity to individual stride-level analysis
Accuracy at the individual stride level, used in over 100 global clinical trials and with thousands of patients.
Activity Metrics
- Total stride counts
- Strides per hour
- Active vs. sedentary ratios
- Daily trend consistency
Performance
- Longest distance walked
- Peak gait speed / SV95C
- Stair climbing velocity
- Functional range capacity
Gait Analysis
- Stride regularity
- Swing-to-stance ratio
- Lateral sway / wobble
- Asymmetry detection
Make mobility change measurable between visits
Transform subjective patient reporting into structured mobility insights that support earlier detection, more accurate progression tracking, and better care planning.
Contact NeuroHealth RPM