We spend a lot of time in this space talking about the devices we strap on, implant in, and wrap around the diabetic foot. But what about the device already in your pocket?
A team from Stanford — led by Rachel Adenekan from Mechanical Engineering, with collaborators in Neurology and Endocrinology — just published a clever study in the Journal of Diabetes Science and Technology that asks a deceptively simple question: can the vibration motor in a smartphone reliably measure sensory loss in people with diabetes?
The answer, it turns out, is a qualified yes — and the implications are significant.
Diabetic peripheral neuropathy (DPN) affects roughly half of all people with diabetes and is one of the strongest predictors of foot ulceration and amputation. Yet screening remains frustratingly inconsistent. The monofilament and tuning fork — our bedside workhorses — have well-documented limitations, and many patients simply never get a foot exam at all. The gap widens further in telehealth settings, where a sensory exam is essentially impossible.
Enter the smartphone vibration perception threshold (SVPT). The investigators enrolled 71 patients with pre-diabetes or diabetes and measured SVPTs using a purpose-built app that delivers controlled vibrations and records patient responses. They compared these measurements against the Rydel-Seiffer tuning fork (RSTF) — a graduated, quantitative tuning fork — and looked at correlations with HbA1c, age, and diabetes duration.
The correlation between SVPT and RSTF was moderate (Rs = -0.43, p = 0.0019). Among adults aged 50–69, SVPTs correlated significantly with clinical markers of neuropathy. Notably, the interaction between age and HbA1c was positively associated with SVPTs, while diabetes duration showed a negative association — findings consistent with what we know about the pathophysiology of large-fiber sensory loss.
This is not the first attempt to repurpose a smartphone vibration motor for neuropathy screening. Previous efforts have used phone-generated vibrations to approximate tuning fork exams with varying degrees of success. What distinguishes this study is the integration of haptic engineering with clinical neurology — the group includes experts in both mechanical engineering (Allison Okamura’s lab) and clinical neuropathy assessment. The result is a more rigorous characterization of where the technology works and where it does not.
And where it does not is important. The SVPT-RSTF correlation was weaker in younger and older age groups, likely reflecting floor and ceiling effects, respectively. This is a known limitation of psychophysical testing — something the authors acknowledge openly. It suggests that the sweet spot for smartphone-based neuropathy screening may be middle-aged adults, which happens to be the population at highest risk for incident DPN complications.
The bigger picture here is accessibility. There are over 500 million people with diabetes worldwide and a global shortage of clinicians trained to perform foot exams. A validated, patient-operated smartphone tool could fundamentally change the screening equation — particularly in low-resource settings and in the growing universe of remote patient monitoring. Think of it as the sensory equivalent of home blood pressure monitoring: imperfect, but dramatically better than nothing.
We have been working on parallel problems with the SmartBoot and other wearable sensing platforms at USC and across our SALSA network. The convergence of consumer hardware, haptic engineering, and clinical validation is something our field needs to take very seriously. The phone in your pocket may turn out to be the most important diagnostic tool we have — if we bother to validate it properly.
This study is an encouraging step in that direction.
Adenekan RAG, Adenekan AE, Leung KK, Muppidi S, Sakamuri S, Tan M, Tsai SA, Osikomaiya M, Okamura AM, Nunez CM, Kim SH, Yoshida KT. “Smartphone-based App to Assess Diabetic Peripheral Neuropathy.” J Diabetes Sci Technol. 2026 Apr 1:19322968261426385. doi: 10.1177/19322968261426385. PMID: 41922972.
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