Cardiovascular

Comparison of Reachable Workspace Capacity to Real-World Arm Use Performance: A Wearable Accelerometry Study on Chronic Stroke.

TL;DR

Camera-based reachable workspace (RSA) was significantly associated with wrist-worn measures of real-world arm performance after stroke, particularly Active and Diverse Exploratory Movement (ADEM, ρ = 0.66, p = 0.01), linking laboratory workspace capacity to daily life arm use.

Key Findings

Total reachable workspace surface area (RSA) was reduced in the paretic limb compared with the nonparetic limb in chronic stroke survivors.

  • Study included 14 individuals with chronic stroke
  • RSA was measured using a camera-based system to quantify the three-dimensional space accessible to the upper limb
  • Several specific workspace regions were also reduced in the paretic limb, not only total RSA
  • Relative surface area (RSA) was measured at baseline before smartwatch monitoring began

Greater total RSA was significantly associated with Active and Diverse Exploratory Movement (ADEM) measured by smartwatch.

  • Spearman correlation: ρ = 0.66, p = 0.01
  • ADEM represents the proportion of wear time that was active and diverse
  • This association was statistically significant, linking laboratory-measured workspace capacity to real-world movement diversity

The association between total RSA and Gross Movement and Activity Count (GMAC) was numerically weaker and non-significant.

  • Spearman correlation: ρ = 0.47, p = 0.09
  • GMAC represents the proportion of wear time spent in active arm movement within a functional workspace
  • The association did not reach statistical significance despite a moderate correlation coefficient

RSA was significantly associated with all three clinical outcome measures: Box and Block Test (BBT), Upper-Extremity Fugl-Meyer Assessment (UEFM), and Motor Activity Log (MAL).

  • Correlations ranged from ρ = 0.57 to 0.76 across the three clinical measures
  • All three associations were statistically significant
  • BBT assesses manual dexterity, UEFM assesses motor impairment, and MAL assesses self-reported arm use in daily activities

Participants wore a smartwatch on the affected arm to capture real-world arm use behavior over the monitoring period.

  • Smartwatch data were summarized using two metrics: GMAC and ADEM
  • GMAC represents the proportion of wear time spent in active arm movement within a functional workspace
  • ADEM represents the proportion of wear time that was active and diverse
  • RSA was measured at baseline using a camera-based system prior to smartwatch deployment

What This Means

This research suggests that the amount of three-dimensional space a stroke survivor can reach with their affected arm — measured in a clinical setting using cameras — is meaningfully linked to how much and how diversely they actually move that arm in daily life. Scientists measured 'reachable workspace' in 14 people with chronic stroke, then had them wear a smartwatch on their affected arm to track real-world movement patterns. The stroke-affected arm had a noticeably smaller reachable workspace than the unaffected arm, confirming the real-world impact of stroke on arm mobility. The key finding was that people with a larger reachable workspace tended to use their arm more actively and in more varied ways during everyday life, as captured by the 'Active and Diverse Exploratory Movement' smartwatch metric (correlation of 0.66). A related metric tracking general arm activity showed a similar but weaker and non-significant trend. Reachable workspace also correlated significantly with standard clinical tests of arm function, including a dexterity test, a motor impairment assessment, and a self-reported daily arm use questionnaire. This research suggests that measuring reachable workspace in a clinic could help predict how well stroke survivors will use their arms in real daily life — a connection that has previously been difficult to establish. Combining camera-based workspace assessments with wearable technology may offer a more complete picture of arm recovery after stroke, potentially helping clinicians better tailor rehabilitation programs.

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Citation

Cornella-Barba G, Gunn N, Chan V, Reinkensmeyer D, Han J. (2026). Comparison of Reachable Workspace Capacity to Real-World Arm Use Performance: A Wearable Accelerometry Study on Chronic Stroke.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26175651