Sonde Health API Platform Documentation

Mental Fitness Voice Features

Vocal biomarkers are objective measurements made from speech signals that convey health or wellness information relevant to the speaker. Sonde has developed mental fitness vocal biomarkers that are derived from short segments of “free speech”. Free speech refers to open-ended verbal responses that users provide when prompted with open-ended questions or speaks about their own topic. Research has identified a number of vocal biomarkers that are indicators of mental fitness status and can be used by individuals to track how their mental fitness may change over time. All of the vocal biomarkers measured here have been shown to trend lower for individuals with reduced mental fitness and trend to higher values for individuals with higher mental fitness: therefore, increasing/ decreasing scores would be interpreted as increasing/ decreasing mental fitness. The exception is pause duration, which tends to increase in individuals with lower mental fitness.

Mental fitness is a category of health and wellness that encompasses both psychiatric aspects including depressive symptoms (e.g., pleasure or enjoyment, feelings of hope or lack thereof, altered behavior patterns) but also (mental) fatigue. Because these vocal biomarkers are derived from voice analysis, conditions affecting voice for other reasons (e.g., airway infections or inflammation, speech disorders, intoxication) can also impact these measurements. The vocal biomarker scores do not provide a prediction about depression or other conditions and communicating these scores as in “normal” or “abnormal” ranges is likely to be confusing for end-users. Population reference ranges for typical values of the vocal biomarker features are provided below and should help users understand whether they are relatively low or high on these measures. A comparison of these reference ranges across Sonde datasets spanning multiple countries and languages has indicated that the ranges are globally applicable. Values outside of these ranges are not abnormal, just less common.

Individuals with reduced mental fitness may not have low scores for all these vocal biomarkers; likewise, healthy individuals may not have high values for all measures. The strongest value and health insights will be gained when used repeatedly as a health tracker so that users can observe their baseline and trends over time, in particular consistent increases or decreases in one or more vocal biomarker features.

The following table describes Mental Fitness vocal biomarker voice features. Sonde APIs will return the scores for these features. Both the recommended end user-friendly and expanded explanation descriptions are provided. Sonde Mental Fitness Tracker App showcases a recommended implementation of how to share feature descriptions and score interpretations with mobile app end users.

 

 

MF Acoustic Scores - Version 4 (current version)

 

The following scores are available through the API (Use Case document )

Acoustic score definitions and range interpretation (this section for app developer reference)

Note: if any of the scores are beyond the specified min-max range (see measure/ display range in table), the scores are clipped to a minimum or maximum values.

Each acoustic and aggregate vocal biomarker listed below is correlated to mental fitness: higher values indicate higher mental fitness, lower values indicate lower mental fitness (except pause duration, which is opposite).

MF Acoustic Vocal biomarker scores available through API

 

Unit

For display in app

Approximate reference range

25 - 75th percentile of population distribution

Measure / display range

API backend will clip values outside this range

Remarks

Direction for a higher Mental Fitness

MF Acoustic Vocal biomarker scores available through API

 

Unit

For display in app

Approximate reference range

25 - 75th percentile of population distribution

Measure / display range

API backend will clip values outside this range

Remarks

Direction for a higher Mental Fitness

Smoothness

%

90 - 95%

88 - 100%

Regularity of voice pitch periods

Increasing

Control

%

80 - 90%

78 - 93%

Regularity of voice pitch amplitude

Increasing

Liveliness

octaves

0.15 - 0.30 octaves

0 - 0.45 octaves

Range of vocal pitch used while speaking (one octave is a doubling of pitch)

Increasing

Energy range

dB

5 - 10 dB

3 - 12 dB

Range of vocal intensity used while speaking (10 dB sounds twice as loud)

Increasing

Clarity

kHz2

0.30 - 0.45 kHz2

0.20 - 0.56 kHz2

Range of sounds made while speaking by changing the shape of tongue, mouth and throat

Increasing

Crispness

ms

200 - 300 msec

100 - 400 msec

Average time of single speech sounds measured from beginning to end of vocal cord vibration

Increasing

Speech rate

words/min

75 - 125 words/ min

0 - 180 words/ min

Number of words spoken per minute

Increasing

Pause duration

sec

0.25 - 0.60 sec

0.1 - 1.0 sec

Average duration of pauses between speech sounds (higher values imply lower mental fitness)

Decreasing

 

MF Acoustic Vocal Biomarker Mental Fitness Score through API

 

Unit

For display in app

Approximate reference range

25 - 75th percentile of population distribution

Measure / display range

API backend will clip values outside this range

Remarks

MF Acoustic Vocal Biomarker Mental Fitness Score through API

 

Unit

For display in app

Approximate reference range

25 - 75th percentile of population distribution

Measure / display range

API backend will clip values outside this range

Remarks

Mental Fitness Score

%

72 - 81

0 - 100

0-69: “Pay attention”
70-79: “Good”
80-100: “Excellent”

 

MF Acoustic score interpretation (recommended descriptions for user explanation in-app)

Vocal biomarker

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Smoothness

Reduced mental health can negatively impact our ability to have precise control over vocal pitch. When vocal pitch control decreases, the smoothness of our voice decreases. 

 

This metric measures small variations in voice pitch that occur naturally when we speak. Pitch refers to the highness or lowness of our voice, and we use it to emphasize words and convey emotions. However, small and rapid irregularities in pitch can also occur. If we have less control over our voice, it can lead to a hoarse or rough quality. Typically, smoothness of the voice falls between 90-95%.

This degree of control over our vocal muscles is essential for speaking, and changes in muscle tone, fatigue, inflammation, and mental health can affect it. In particular, changes in mental health can be reflected in changes in smoothness.

Control

Reduced mental health can negatively impact our ability to have precise control over vocal muscles. When vocal muscles control decreases, our control decreases. 

 

This metric measures small changes in pressure in the sound waves that our vocal cords create while we speak. If we have reduced control over our voice, these pressure variations can increase, which may lead to a breathy quality in our voice. Typically, our degree of control over voice production will fall between 80-90%.

Speaking requires rapid and precise control over our vocal muscles, and changes in muscle tone, fatigue, inflammation, and mental health can all affect this degree of control. Specifically, changes in mental health can result in changes in our ability to control our voice.

Liveliness

Depressed emotions or reduced mental fitness can affect how much vocal variety we use. Less variety or liveliness in our voice results in a more monotone and less engaging voice.

This metric measures the intentional changes in voice pitch that occur when we speak. Pitch refers to the highness or lowness of our voice, and we use it to emphasize words and convey emotions. A higher liveliness score indicates a greater range of pitch variation, which can make our speech more engaging. Typically, this measure will fall between 0.15-0.30 octaves (an octave is a doubling of pitch).

Using vocal variety is essential for engaging listeners and expressing emotions while speaking. However, when emotions or mental health are affected, liveliness can decrease, resulting in a more monotone and less engaging voice.

Energy range

Depressed emotions or reduced mental fitness can cause our vocal energy range to decrease. When we feel at our best, we speak with a varying intensity for emphasis, leading to higher energy range.

This metric measures the variations in vocal energy while speaking. Energy range is influenced by how much effort we put into making speech sounds, so louder voices tend to have more energy than softer voices. The energy of sound is measured in decibels (dB), and the energy range measures the extent to which energy changes while speaking. Typically, this measure will fall between 5-10 dB (10 dB is a doubling of loudness).

Vocal intensity plays a crucial role in emphasizing words and engaging listeners while speaking. However, when we are disengaged, tired, or experiencing reduced mental health, our energy range can decrease, resulting in a less engaging and less impactful voice.

Clarity

Reduced mental fitness can result in reduced movements of the tongue, jaw and lips, reducing the range of sounds we produce. This can lead to lower vocal clarity.

This metric measures the range of difference when producing different speech sounds. We do this by altering the position of the tongue, jaw, and lips. The more pronounced these position changes are, the more distinct the speech sounds become, resulting in increased clarity and more intelligible speech. Typically, this measure will fall between 0.30-0.45 kHz².

Speaking with clarity requires rapid and pronounced adjustments of the tongue, jaw, and lips. Reduced movements can result in lower vocal clarity, which can be associated with reduced mental health.

Crispness

Reduced mental fitness can lead to reduced effort at producing speech, leading to shorter durations of each sound. This can result in a less crisp sounding speech.

This metric measures the average duration of vowel sounds in speech. Holding a sound steady over time requires coordinated and effortful use of the vocal tract muscles, which can be impacted by mental health or fatigue. Measuring crispness makes changes in speech sound durations visible. Crispness is measured in milliseconds (ms) and will typically fall between 200-300 ms.

When we speak, each sound we produce has a typical duration. Fatigue or reduced mental health can lead to shorter sound durations and less crispness. By measuring changes in vowel durations, we gain insights into one's mental fitness.

Speech Rate

Reduced mental fitness can slow us down, including how we speak. Changes in speech rate can indicate changes in mental fitness.

This measures the rate at which we speak, represented by the number of words spoken per minute. Alertness, fatigue, medications, and mental health can all influence the rate at which we speak, typically between 75-125 words per minute. Changes in mental health can be observed through changes in speech rate.

Pause duration

If we are not feeling well we tend to need more time to think about what we say or do. Measuring the average time of silence gaps in speech can indicate changes in mental fitness.

This measures the average duration of the silent gaps we make when we speak. Longer pauses can indicate difficulty in finding the right words and constructing coherent sentences, which can be caused by reduced mental health or fatigue. Measuring pause duration reveals how often our thought processes slow down. Pause duration is measured in seconds (sec) and typically falls between 0.25-0.60 seconds.

 

MF Aggregate score interpretation (recommended descriptions for user explanation in-app)

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Score (Aggregate)

Your mental fitness score is determined by analyzing specific vocal features that have been demonstrated through research to have a relationship with mental fitness. By monitoring changes in your score over time, you can reflect on how your mental fitness may be evolving. The score ranges (pay attention, good, excellent) provide a helpful context for interpreting your results relative to a broad range of users. It is important to note, however, that these scores are not a substitute for medical evaluations and should be viewed as only one aspect of understanding your overall health and wellness.

n/a

 


Versions 1-3 are legacy versions; Please refer to Version 4 document above

 

MF Acoustic Scores - Version 3

 

The following scores are available through the API (Use Case document )

Acoustic score definitions and range interpretation (this section for app developer reference)

Note: if any of the scores are beyond the specified min-max range (see measure/ display range in table), the scores are clipped to a minimum or maximum values.

Each acoustic and aggregate vocal biomarker listed below is correlated to mental fitness: higher values indicate higher mental fitness, lower values indicate lower mental fitness.

MF Acoustic Vocal biomarker scores available through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

MF Acoustic Vocal biomarker scores available through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

Smoothness

%

60 - 100

40 - 100

Mathematically can extend below 40%, but values <60% are uncommon

Control

%

70 - 100

55 - 100

Mathematically can extend below 55%, but values <70% are uncommon

Liveliness

octaves

0.10 - 0.40

0 - 0.45

Has a broad “normal” range; no hard upper limit. In regular conversational speech >0.40 octaves is uncommon

Energy range

dB

15 - 30

0 - 36

No hard upper limit; in regular conversational speech >36 dB is uncommon

Clarity

kHz2

0.20 - 0.30

0 - 0.36

Range is defined by anatomy of vocal tract

Crispness

ms

150 - 500

0 - 600

Mathematically can extend beyond 600 but it is uncommon

Speech rate

words/min

30-180

0-180

Values outside the reference range are possible but uncommon

Pause duration

sec

0.25 - 1.25

0 - 1.5

Values outside the reference range are possible but uncommon

 

MF Acoustic Vocal Biomarker Mental Fitness Score through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

MF Acoustic Vocal Biomarker Mental Fitness Score through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

Mental Fitness Score

%

60 - 85

0 - 100

0-54: “Pay attention”
55-69: “Good”
70-100: “Excellent”

 

MF Acoustic score interpretation (recommended descriptions for user explanation in-app)

Vocal biomarker

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Smoothness

Reduced mental health can negatively impact our ability to control our vocal pitch. When pitch control decreases, the smoothness of our voice decreases. 



This measures small changes in voice pitch that happens as we speak. Pitch is a measure of your voice’s tone being low or high. We control pitch deliberately to emphasize words and convey emotion, but small and rapid irregularities in pitch also occur. Less control over vocal production can reduce smoothness, which may be perceived as a hoarse or rough voice quality. Typically, smoothness will fall between 60% to 100%.

Speaking requires rapid and precise control over our vocal muscles. Changes in muscle tone, fatigue, inflammation, as well as mental health can affect this degree of control. Changes in mental health can be reflected in changing smoothness.

Control

Reduced mental health can negatively impact our ability to have precise control over vocal muscles. When vocal muscles control decreases, our control decreases. 



This measures small pressure changes in sound waves that our vocal folds while speaking. Reduced control over voice production can increase these pressure variations, which may be perceived as a breathy voice quality. Typically, control will fall between 70% to 100%.

Speaking requires rapid and precise control over our vocal muscles. Changes in muscle tone, fatigue, inflammation, as well as mental health can affect this degree of control. Changes in mental health can be reflected in changing levels of vocal control.

Liveliness

Depressed emotions or reduced mental health can affect how much vocal variety we use. Less variety or liveliness in our voice results in a more monotone and less engaging voice.

This measures the amount of deliberate change in voice pitch that happens as we speak. Pitch is measure of voice tone being low or high. Changes in pitch are used to emphasize words and convey emotion. A higher liveliness score indicates more variety in pitch. Typically, this measure will fall between 0.10 to 0.40 octaves (an octave is a doubling of pitch).

When we speak, we use vocal variety to engage the listener and express emotion. When these emotions or mental health are reduced, liveliness can decrease, making the voice sound more monotone and less lively.

Energy range

Reduced mental health or fatigue can cause our vocal energy range to decrease. We normally speak with a varying intensity for emphasis, leading to higher energy range.

This measures how much vocal energy changes while speaking. Energy range is influenced by much how much effort we put into making speech sounds, so that loud voices have more energy than soft voices. Sound energy is measured in decibels (dB), and energy range measures how much the energy changes while speaking. Typically, this measure will fall between 15 dB and 30 dB.

When we speak, we change the intensity of our voice for emphasis and to engage the listener. When we are disengaged, tired, or experience reduced mental health, this can reduce energy range.

Clarity

Reduced mental health can result in reduced movements of the tongue, jaw and lips. Reductions in these movements can lead to lower vocal clarity.

This measures the extent to which various vowels are produced differently during speaking. Different vowels are created by changing the position of the tongue, jaw and lips. Greater changes in position create more distinct vowels, which increases clarity. This may be perceived as more clearly intelligible speech. Typically, this measure will fall between 0.20 kHz² to 0.30 kHz².

Speaking with clarity requires rapid and pronounced changes in position of the tongue, jaw, and lips. Reductions in the movements necessary to create these changes can lead to lower vocal clarity. Reduced vocal clarity has been associated with reduced mental health.

Crispness

When we speak, each sound we produce has a typical duration. Reduced mental health or fatigue can lead to shorter sound durations and less crispness.

This measures how long, on average, we hold vowel sounds while speaking. Holding a sound steady over time requires coordination and effort of the vocal tract muscles, which can be affected by mental health or fatigue. Measuring crispness makes changes in speech sound durations visible. Crispness is measured in milliseconds (ms) and will typically fall between 150 and 500 ms.

When we speak, each sound we produce has a typical duration over time. Fatigue or reduced mental health can lead to shorter sound durations and less crispness. Through measuring changes in vowel durations, we gain insight into mental fitness.

Speech Rate

Reduced mental health can lead to slower speech. Slower speech can be measured as a lower speech rate.

This measures the how fast we speak, in terms of number of words per minute of speaking. If we are not feeling at our best, our bodies and minds can slow down, including how we speak. Typically, speech rate will fall between 60 to 150 words per minute.

When most people speak at their usual pace, their speech rate falls within a certain range. Changes in alertness or fatigue, certain medications, as well as mental health can affect how fast we speak. Changes in mental health can be reflected in changing speech rate.

Pause duration

If we are not feeling well we tend to have longer silence gaps when we speak. More silence in our speech can be measures as an increase in pause duration.

This measures how long, on average, the silence gaps are when we speak. Longer silent gaps can be an indication that we are struggling more to put our thoughts into words and sentences, which can be caused by reduced mental health or fatigue. Pause duration is measured in seconds (sec) and will typically fall between 0.3 - 1.0 seconds.

When we speak we pause occasionally to catch our breath and formulate our thoughts. Changes in alertness or fatigue, certain medications, as well as mental health can affect how long these pauses are. Changes in mental health can be reflected in changing pause duration.

 

MF Aggregate score interpretation (recommended descriptions for user explanation in-app)

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Score (Aggregate)

Your mental fitness score is based on measurements made on your voice. We use specific measurements that have been shown through research to relate to mental fitness. You can use changes in your score to reflect on how your mental fitness may be changing over time. The score ranges help you understand how your score relates to a larger population of users. Keep in mind that these scores are not medical assessments and should be used as just one part of how you understand your health and wellness.

n/a

 


 

MF Acoustic Scores - Version 2

The following scores are available through the API (Use Case document )

Acoustic score definitions and range interpretation (this section for app developer reference)

Note: if any of the scores are beyond the specified min-max range (see measure/ display range in table), the scores are clipped to a minimum or maximum values.

Each acoustic and aggregate vocal biomarker listed below is correlated to mental fitness: higher values indicate higher mental fitness, lower values indicate lower mental fitness.

MF Acoustic Vocal biomarker scores available through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

MF Acoustic Vocal biomarker scores available through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

Smoothness

%

60 - 100

40 - 100

Mathematically can extend below 40%, but values <60% are uncommon

Control

%

70 - 100

55 - 100

Mathematically can extend below 55%, but values <70% are uncommon

Liveliness

octaves

0.10 - 0.40

0 - 0.45

Has a broad “normal” range; no hard upper limit. In regular conversational speech >0.40 octaves is uncommon

Energy range

dB

15 - 30

0 - 36

No hard upper limit; in regular conversational speech >36 dB is uncommon

Clarity

kHz2

0.20 - 0.30

0 - 0.36

Range is defined by anatomy of vocal tract

Crispness

ms

150 - 500

0 - 600

Mathematically can extend beyond 600 but it is uncommon

 

MF Acoustic Vocal Biomarker Mental Fitness Score through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

MF Acoustic Vocal Biomarker Mental Fitness Score through API

 

Unit

For display in app

Reference range

Approximate population distribution (higher or lower values can occur)

Measure / display range

API backend will clip values outside this range

Remarks

Mental Fitness Score

%

60 - 85

0 - 100

0-54: “Pay attention”
55-69: “Good”
70-100: “Excellent”

 

MF Acoustic score interpretation (recommended descriptions for user explanation in-app)

Vocal biomarker

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Smoothness

Reduced mental health can negatively impact our ability to control our vocal pitch. When pitch control decreases, the smoothness of our voice decreases. 

 

This measures small changes in voice pitch that happens as we speak. Pitch is a measure of your voice’s tone being low or high. We control pitch deliberately to emphasize words and convey emotion, but small and rapid irregularities in pitch also occur. Less control over vocal production can reduce smoothness, which may be perceived as a hoarse or rough voice quality. Typically, smoothness will fall between 60% to 100%.

Speaking requires rapid and precise control over our vocal muscles. Changes in muscle tone, fatigue, inflammation, as well as mental health can affect this degree of control. Changes in mental health can be reflected in changing smoothness.

Control

Reduced mental health can negatively impact our ability to have precise control over vocal muscles. When vocal muscles control decreases, our control decreases. 

 

This measures small pressure changes in sound waves that our vocal folds while speaking. Reduced control over voice production can increase these pressure variations, which may be perceived as a breathy voice quality. Typically, control will fall between 70% to 100%.

Speaking requires rapid and precise control over our vocal muscles. Changes in muscle tone, fatigue, inflammation, as well as mental health can affect this degree of control. Changes in mental health can be reflected in changing levels of vocal control.

Liveliness

Depressed emotions or reduced mental health can affect how much vocal variety we use. Less variety or liveliness in our voice results in a more monotone and less engaging voice.

This measures the amount of deliberate change in voice pitch that happens as we speak. Pitch is measure of voice tone being low or high. Changes in pitch are used to emphasize words and convey emotion. A higher liveliness score indicates more variety in pitch. Typically, this measure will fall between 0.10 to 0.40 octaves (an octave is a doubling of pitch).

When we speak, we use vocal variety to engage the listener and express emotion. When these emotions or mental health are reduced, liveliness can decrease, making the voice sound more monotone and less lively.

Energy range

Reduced mental health or fatigue can cause our vocal energy range to decrease. We normally speak with a varying intensity for emphasis, leading to higher energy range.

This measures how much vocal energy changes while speaking. Energy range is influenced by much how much effort we put into making speech sounds, so that loud voices have more energy than soft voices. Sound energy is measured in decibels (dB), and energy range measures how much the energy changes while speaking. Typically, this measure will fall between 15 dB and 30 dB.

When we speak, we change the intensity of our voice for emphasis and to engage the listener. When we are disengaged, tired, or experience reduced mental health, this can reduce energy range.

Clarity

Reduced mental health can result in reduced movements of the tongue, jaw and lips. Reductions in these movements can lead to lower vocal clarity.

This measures the extent to which various vowels are produced differently during speaking. Different vowels are created by changing the position of the tongue, jaw and lips. Greater changes in position create more distinct vowels, which increases clarity. This may be perceived as more clearly intelligible speech. Typically, this measure will fall between 0.20 kHz² to 0.30 kHz².

Speaking with clarity requires rapid and pronounced changes in position of the tongue, jaw, and lips. Reductions in the movements necessary to create these changes can lead to lower vocal clarity. Reduced vocal clarity has been associated with reduced mental health.

Crispness

When we speak, each sound we produce has a typical duration. Reduced mental health or fatigue can lead to shorter sound durations and less crispness.

This measures how long, on average, we hold vowel sounds while speaking. Holding a sound steady over time requires coordination and effort of the vocal tract muscles, which can be affected by mental health or fatigue. Measuring crispness makes changes in speech sound durations visible. Crispness is measured in milliseconds (ms) and will typically fall between 150 and 500 ms.

When we speak, each sound we produce has a typical duration over time. Fatigue or reduced mental health can lead to shorter sound durations and less crispness. Through measuring changes in vowel durations, we gain insight into mental fitness.

 

MF Aggregate score interpretation (recommended descriptions for user explanation in-app)

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Vocal biomarker Aggregate score

Brief Description

Directly below score display

Expanded Description

Below score history / trend chart

Score (Aggregate)

Your mental fitness score is based on measurements made on your voice. We use specific measurements that have been shown through research to relate to mental fitness. You can use changes in your score to reflect on how your mental fitness may be changing over time. The score ranges help you understand how your score relates to a larger population of users. Keep in mind that these scores are not medical assessments and should be used as just one part of how you understand your health and wellness.

n/a

 

Standard unit links for reference:

Scientific Explanation of MF Features

https://sondehealth.sharepoint.com/:x:/s/BusinessDevelopment2/EaavtX5BtuxIoSL30hNe4noBSbYJQKpYhbIypPItOvGAeA

 

 

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