Table 6 Summary of mobile and wearable sensor data changes for PwMS and healthy controls

From: Modeling multiple sclerosis using mobile and wearable sensor data

Domain

Data stream

Hypothesis for PwMS and healthy controls

Frequency

Physiological

Heart Rate (HR)

Increased fatigue is associated with increased HR and reduced HRV33.

Continuous

 

Heart Rate Variability (HRV)

 

Continuous

 

Blood Pulse Wave (BPW)

 

Continuous

 

Blood Perfusion (BP)

 

Continuous

 

Skin Temperature (ST)

Healthy adults have lower skin temperature than people with mild cognitive impairments36.

Continuous

Behavioral

Physical Activity

PwMS have problems with balance and feeling dizzy, which can have knock-on effects on their walking. PwMS are less physically active than healthy controls35.

Continuous

 

Steps

People’s activity influences MS symptoms (e.g., fatigue), which in turn impact the MS disability level54.

Continuous

 

Phone locks/unlocks

These features could reflect smartphone usage, which might inform the ability to concentrate and the extend of sedentary behavior.

Event-based

Motor performance

Tapping Task

Decline in performance during a tapping task, or fatigability, has been previously shown as a promising objective marker of fatigue3.

Daily

Sleep routine

Sleep Duration

Sleep disturbances are significantly higher in PwMS than in the general population. They may affect women with MS more than men63.

Daily

Patient

Age

Age is positively related to disease severity53 and functioning of PwMS.

Once

information

Gender

Females are more prone to MS than males52.

Once