Performance
- Normalised score from 0 to 100
- Accuracy (%)
- Time used
Measurement
Measure progress, rather than an impression.
Every session becomes a measurement. Indicators point the clinician to the function to work on and show the effect of rehabilitation over time.
The care loop
Stimulate, measure, adjust, progress.
Data guides the clinician in adjusting care, session after session.
Stimulate
An exercise targets one function: memory, attention, language, executive.
Measure
It reports objective indicators: accuracy, time, errors.
Adjust
Difficulty is set at the right level, neither too easy nor discouraging.
Progress
The trend shows over time: improving, stable or declining.
Session after session
What we measure
Four standardised families of indicators.
- 01
Tell accuracy from speed, to target the real difficulty: memory, attention or executive functions.
- 02
Set difficulty at the right level: too easy and the patient does not progress; too hard and they lose heart.
- 03
Feed the dashboard and follow-up reports.
Exercise metrics are technical data: they contain no personally identifying information.
Effort & control
- Errors and attempts
- Corrections and hints
- Longest successful streak
Speed
- Time to first action
- Reaction time
Neuropsychological markers
- Switch cost, rule compatibility
- Congruency, sensitivity d′
- Spans, cueing
Clinical reading
What the indicators say.
Every number means something to the clinician.
Reaction time
Overall speed of information processing.
- Stroop Test
- Rule Flip
- Letter in a Letter
- Multi-Criteria Sort
- Sense Switch
- Spatial Reflex
- Symbol Decoder
- N‑Back Memory
- Go/No‑Go
What the clinician draws from it
A rise followed over several sessions matters more than a single value.
See the calculation, Reaction timeReaction time variability
How spread out responses are from one trial to the next.
- Stroop Test
- Rule Flip
- Letter in a Letter
- Multi-Criteria Sort
- Sense Switch
- Spatial Reflex
- Symbol Decoder
- Go/No‑Go
What the clinician draws from it
Read with the mean time: at equal speed, a spread that changes from one session to the next says something other than a slowdown.
See the calculation, Reaction time variabilityCongruency effect
The extra time needed to resolve a conflict between two pieces of information.
What the clinician draws from it
Followed for this patient, from one session to the next. The Stroop Test and Letter in a Letter do not set up the same conflict: their effects do not compare.
See the calculation, Congruency effectSwitch cost
The time lost moving from one rule to another.
What the clinician draws from it
Followed from one session to the next; a negative cost is a real measurement. Symbol Decoder compares another pair of times: its cost does not compare with the other exercises.
See the calculation, Switch costPerseveration errors
Applying a rule that no longer holds.
What the clinician draws from it
Two definitions depending on the exercise: the app plots Letter in a Letter and Symbol Decoder as two series, never averaged.
See the calculation, Perseveration errorsSensitivity d′
The ability to tell a target from a distractor, regardless of the tendency to answer “yes” or “no”.
What the clinician draws from it
Followed at the same N level: the level is an exercise setting, not a performance.
See the calculation, Sensitivity d′Cue sensitivity
The gain a category cue brings after free recall.
What the clinician draws from it
The gap between free and cued recall reads from one session to the next. The index has no value when free recall is complete.
See the calculation, Cue sensitivityForward and backward span
The sequence length held, then manipulated.
What the clinician draws from it
The gap between both spans separates holding information from manipulating it.
See the calculation, Forward and backward spanOver time
A trend over the latest sessions.
The medical dashboard calculates each patient's progress, exercise by exercise.
- Improving
- Stable
- Declining
The assistant
A session suggested, the clinician decides.
From the patient's history, NeuroTrack suggests a tailored session. Every suggestion stays editable before approval.
Rule-based recommendation engine today; a predictive model is being studied.
- 01Analysis of past sessions
- 02Calculated progress trend
- 03Recommended difficulty and duration
- 04Pre-selection of varied exercises
- 05Confidence index displayed
Request a demo
Discover NeuroTrack with our team.
A video demonstration, tailored to your practice and your organisation.
- Build and assign a session live
- Assessment protocols and how to read the indicators
- Your questions about HDS hosting, roles and deployment
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Mapping Minds, Tracking Progress