News & Insights.
Clinical perspectives, practical guides, and what we're learning alongside the clinicians who use Kinetically.
ClinicalThe Short Physical Performance Battery (SPPB): How to Score It and What the Score Means
How to score the SPPB (balance, 4 m gait speed, five chair stands; 0–12), the official NIA cut-points, and what scores predict about disability and mortality.
Read article →The 10-Meter Walk Test: Protocol, Normal Walking Speeds, and Meaningful Change
How to run the 10-Meter Walk Test, normal walking speeds by age and sex from a 23,111-person meta-analysis, and how much change is meaningful.
ClinicalThe Functional Reach Test: Protocol, Normative Reach by Age, and Fall Risk
How the Functional Reach Test is performed, published reach values by age and sex, and what shorter reach suggests about recurrent-fall risk.
ClinicalHandgrip Strength: How It's Measured, Normative Values by Age and Sex, and Low-Grip Cut-Offs
How grip strength is measured with a dynamometer, British normative values by age and sex (incl. ELSA), and the EWGSOP2 and AWGS 2019 low-grip cut-offs.
ClinicalThe Six-Minute Walk Test: Protocol, Normative Distances, and Meaningful Change
How the six-minute walk test is run, mean distances for older adults by age and sex, and how much change in walk distance is clinically meaningful.
ClinicalThe 30-Second Chair Stand Test: How to Run It, Score It, and Read the Norms
30-second chair stand norms by age and sex (CDC STEADI): e.g. below average is under 12 stands for men and 10 for women at 70–74. Plus how to score it.
ClinicalThe Berg Balance Scale: Scoring, Interpretation, and What Counts as Real Change
Berg Balance Scale scoring (14 items, 0–4 each, 0–56 total), what the common ≤45 cut-off misses, normal scores by age, and how much change is real.
ClinicalThe 4-Stage Balance Test: How to Run It, Score It, and Read the Tandem Cut-off
How to run and score the CDC STEADI 4-Stage Balance Test: the four stances, what to record, and why under 10 seconds in tandem flags fall risk.
ClinicalIs It Real Change? Reading Patient Progress Against Meaningful-Change Thresholds
A faster walk or a shorter TUG only matters if the change is bigger than the noise. How meaningful-change thresholds help clinicians read progress honestly.
TechnologySmartphone Capture vs. Wearables: Choosing the Right Tool for Clinical Movement Data
Wearables, force plates or a smartphone camera? What each measures best, how markerless capture compares with lab systems, and why consistency matters.
ClinicalTracking Motor Recovery After Stroke: Making Progress Visible
Recovery after stroke is gradual, uneven, and easy to underestimate visit to visit. Objective movement data helps clinicians see the trajectory.
ClinicalMeasuring Movement Asymmetry: What Left–Right Differences Reveal
Side-to-side differences in how the body moves often signal a problem—or recovery—before a global score does. The catch is measuring them consistently.
IndustryThe Shift Toward Objective Measurement in Rehab
Across rehabilitation and movement-focused care, a quiet shift is underway — from describing movement to measuring it. Here's why it's accelerating.
TechnologyData Privacy in Digital Movement Assessment
Moving movement analysis onto everyday devices raises a fair question: what happens to the data? Privacy has to be part of the design, not an afterthought.
ClinicalSit-to-Stand: A Window into Lower-Limb Function
Rising from a chair is something most people do without thinking. How they do it reveals a surprising amount about strength, balance, and function.
ClinicalFall Risk and Predictive Movement Data: Turning Assessments Into Early Warnings
Falls remain one of the most dangerous and costly events in healthcare — and objective movement analysis can detect deterioration before it becomes a crisis.
WorkflowReducing Clinician Burnout: How Automated Movement Analysis Gives Time Back to Providers
Hours spent on manual documentation pull providers away from patient care. Automated movement analysis offers a meaningful solution.
ReimbursementThe Documentation Gap: How Objective Motion Data is Solving Clinicians' Reimbursement Crisis
Insufficient documentation is a leading cause of Medicare improper payments. Objective motion data gives clinicians measurable evidence of medical necessity.
Patient CareBeyond the Clinic Visit: How Remote Movement Assessment is Changing the Patient–Provider Relationship
When patients capture their own movement data at home, they become active participants in their care — and care becomes a continuous partnership.
Clinical StandardsWhy MDS-UPDRS Alignment Matters: Bridging Technology and Clinical Standards in Parkinson's Assessment
When assessment technology aligns with MDS-UPDRS constructs, it stops being a data collection device and becomes a clinical decision support system.
MonitoringCatching Change Early: The Role of Continuous Monitoring in Movement Disorders
Neurodegenerative conditions rarely announce themselves dramatically. Continuous monitoring captures the variability that episodic clinic visits miss.
IndustryThe Future of Patient Care
Movement tells a story. The way a patient walks, stands, or performs everyday tasks can reveal insights a traditional exam misses.
TechnologyWhat Makes Movement Measurement Clinical-Grade? Validation, Precision and Real Change
What separates clinical-grade movement measurement from consumer sensors: validation against lab systems, reproducibility, and change beyond noise.
ResearchHow AI is Empowering Researchers in Movement Disorder Science
How machine learning and markerless pose estimation let researchers measure gait and tremor from ordinary video at scale, and the validation caveats.
ClinicalFrom Subjective to Objective: How Technology is Transforming Neurological Assessment
Motion analysis captures data points invisible to the human eye — tremor in hertz, stride in millimeters, balance in fractions of a second.
WorkflowRange of Motion Without a Goniometer
The goniometer has measured joint motion for a century. Markerless capture offers a faster, more repeatable way to get the same kind of number.
ClinicalQuantifying Tremor Beyond Visual Rating
Tremor is usually rated by eye. Objective measurement captures what the eye approximates — amplitude, frequency, and change over time.
IndustryWhy Value-Based Care Needs Objective Movement Data
As healthcare shifts from paying for volume to paying for outcomes, the ability to actually measure those outcomes stops being optional.
Patient CareClosing the Home Exercise Adherence Gap
Most rehabilitation happens between visits, in the exercises a patient does at home. The trouble is that no one can see those exercises — until now.
ClinicalThe Timed Up & Go Test, Modernized
How the Timed Up and Go is scored, the CDC STEADI 12-second fall-risk threshold, its limits, and what objective capture adds to a stopwatch.
TechnologyFrom the Motion Lab to the Bedside
The capabilities that once required a dedicated research lab are becoming portable. That shift changes who gets access to objective movement analysis.
Patient CareFunctional Outcomes That Matter to Patients
Patients don't measure recovery in degrees of motion. They measure it in stairs climbed and groceries carried. The best metrics connect the two.
ReimbursementRTM 101: Remote Therapeutic Monitoring for Rehab
Remote Therapeutic Monitoring lets rehab providers track patients between visits — and be recognized for that work. Here's the plain-language version.
ClinicalMeasuring Balance and Postural Sway Objectively
Balance and sway analysis turns a subjective impression into numbers a clinician can track. How objective postural sway measurement works.
WorkflowStandardizing Assessments Across Your Clinic
When every clinician measures a little differently, the data never lines up. Standardization makes movement data comparable across visits and sites.
ClinicalGait Velocity: The Sixth Vital Sign
Why gait speed is called the sixth vital sign, plus a gait speed interpretation chart: published thresholds and meaningful-change values, with sources.
TechnologyWhat Is Markerless Motion Capture?
Measuring movement precisely once meant a lab full of cameras and reflective markers. Computer vision is changing what's possible — and where.
ClinicalThe Reliability Problem in Movement Assessment
Two clinicians can watch the same patient walk and score them differently. That variability is one of rehab's oldest challenges — and one of the most solvable.
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