Our goal has been to establish a remote extended monitoring and mobile health system for risk-related stroke measures to proactively provide patients, caregivers, and health professionals with previously unavailable real-time data at the body structure, activity, and participation levels, whereby patient compliance and progress can be monitored and rehabilitation and/or medical intervention may be triggered to support stroke patients’ optimal long-term recovery.

Funtional Reach Test

Falls are common and dangerous for survivors of stroke at all stages of recovery. The widespread need to assess fall risk in real time for individuals post-stroke has generated emerging requests for a reliable, inexpensive, quantifiable, and remote clinical measure/tool. In order to meet these requests, we explored the Functional Reach Test (FRT) for real-time fall risk assessment and implement the FRT function in. Below is the performance comparison between clinical benchmark and mStroke

 

FirstFRT     SecFRT

Performance comparison between clinical benchmark and mStroke 

   FRT3    FRT4

With trunk flexion.                                      With truck flexion and torso twist. 

NIHSS (Motor Arm/Motor Leg)

Items 5, 6, and 7 in NIH Stroke Scale (NIHSS) correspond to motor control arm and leg, and coordination, respectively. Our system uses these items to measure limb movement. Item scoring is done in a closed environment using the inertial motion units on Nodes. Tables below show the definitions of the scores and the test performances.

Motor Arm Scale Definition

MotorArmTable

 Motor Leg Scale Definition

MotorLegTable

 

    ma2               MotorLef

Gait

An important part of physical rehabilitation, especially for stroke patients, is determining how well they walk, known as Gait Analysis. In a typical Gait test, the patient is instructed to walk a set distance at a comfortable speed, using whatever walking implements they find necessary. This walk is timed, and the time is compared to known, normative data for patients of a similar class. Other interesting features may be examined as well: step symmetry (is one leg doing more work than the other?), cadence (how quickly are steps taken?), stride and step length, and so on.