Trial reportPloS one2012
An objective pronator drift test application (iPronator) using handheld device.
Trial report in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The trial behind it
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Recalibrating neurological examination: from binary signs to probabilistic and multidimensional assessment using mobile technologies in acute neurology.Frontiers in neurology · 2026Article
- Smartphone postural sway and pronator drift tests as measures of neurological disability.BMC neurology · 2025Article
- Smartphone Postural Sway and Pronator Drift tests as Measures of Neurological Disability.medRxiv : the preprint server for health sciences · 2024Article
- Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.Journal of medical Internet research · 2017Article
- An Automated Test of Rat Forelimb Supination Quantifies Motor Function Loss and Recovery After Corticospinal Injury.Neurorehabilitation and neural repair · 2017Article
- Article
- Feasibility of using a mobile application for the monitoring and management of stroke-associated risk factors.Journal of clinical neurology (Seoul, Korea) · 2015Article
- An acute stroke evaluation app: a practice improvement project.The Neurohospitalist · 2015Article
- Facilitating Stroke Management using Modern Information Technology.Journal of stroke · 2013Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe pronator drift test is widely used to detect mild arm weakness. We developed an application that runs on a handheld device to objectify the pronator drift test and investigated its feasibility in stroke patients.
methodsThe iPronator application, which uses the built-in accelerometer in handheld devices, was developed. We enrolled acute ischemic stroke patients (n = 10) with mild arm weakness and healthy controls (n = 10) to validate the iPronator. In addition to conventional neurological examinations, the degree of average, maximum, and oscillation in drift and pronation were measured and compared using the iPronator. Follow-up tests using the iPronator were also conducted in the patient group one week later.
resultsThere was a strong correlation between the average degree of pronation and drift measured by the iPronator (r = 0.741, p<0.001). The degrees of average and maximum in pronation were greater in the patient group than in the control group [in average, 28.9°, interquartile range (IQR) 18.7-40.3 vs. 3.8° (IQR 0.3-7.5), p<0.001], in maximum, 33.0° (IQR 24.0-52.1) vs. 6.2° (IQR 1.4-9.4), p<0.001]. The degree of oscillation in pronation was not different between the groups (p = 0.166). In drift, the degrees of average, maximum, and oscillation were greater in the patient group. In stroke patients, a follow-up study at one week revealed improvements in the degrees of pronation and drift compared with baseline parameters.
conclusionsThe iPronator can reliably detect mild arm weakness of stroke patients and was also useful in detecting functional recovery for one week in patients with acute stroke.
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