The Signal | Neuromuscular Sensing

Apple acquires biomagnetic sensor startup Sonera to bypass physical skin contact in wearables

The acquisition of the UC Berkeley spinout brings contactless neural and neuromuscular sensing capabilities to future consumer and clinical devices.

By Dr. Dereck Mush, MD, MBA

CEO at Teknon Labs

Published 2026-09-13|4 min read

Apple acquires biomagnetic sensor startup Sonera to bypass physical skin contact in wearables
Sonera co-founders Nishita Deka (left) and Dominic Labanowski. Image credit: Sonera.
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In a standard neurophysiology clinic, capturing the electrical signals of a firing muscle requires a sequence of physical preparations. A clinician must scrub the patient's skin to remove oils, apply a conductive gel, and press adhesive electrodes firmly onto the surface. If the patient perspires, shifts their arm, or has body hair, the electrical contact degrades, rendering the resulting electromyography data noisy and useless. Even the optical sensors on modern consumer smartwatches require a snug, uninterrupted fit against the wrist to reliably measure heart rate or blood oxygen levels.

A quiet corporate acquisition by Apple suggests the consumer technology giant is preparing to bypass these physical contact barriers entirely. According to European Commission regulatory filings disclosed under the Digital Markets Act, Apple has acquired the silicon assets and engineering talent of Sonera, a University of California, Berkeley spinout. The university's Office of Intellectual Property and Industry Alliances has confirmed the transaction. Sonera, co-founded by researchers Nishita Deka and Dominic Labanowski, has spent years developing chip-scale biomagnetic sensors designed to read neural and neuromuscular activity without touching the skin.

The physics of contactless sensing

At the core of the transaction is Sonera's S1 sensor architecture. Traditional consumer and clinical devices rely on electrical potentials or optical reflection. Surface electromyography measures the electrical voltage changes on the skin surface, while photoplethysmography uses light to detect blood volume changes. Both methods are highly susceptible to movement artifacts and environmental interference.

The S1 architecture shifts the monitoring paradigm from electrical currents to magnetic fields. When nerve and muscle cells fire, they generate tiny electrical currents that in turn produce corresponding magnetic fields. While human tissue, bone, and hair distort electrical signals, magnetic fields pass through these barriers completely unimpeded. By measuring these ultra-low magnetic fields at the chip level, Sonera's technology can detect neuromuscular activity from a short distance, eliminating the need for conductive gels, skin preparation, or tight wristband compression.

Bridging consumer wearables and clinical neurology

The S1 sensor architecture measures ultra-low magnetic fields generated by neural action potentials.
The S1 sensor architecture measures ultra-low magnetic fields generated by neural action potentials.The HealthTech Signal

For Apple, the acquisition represents a strategic pivot from passive health tracking to active neural interfacing. Today's smartwatches operate largely as passive observers of the cardiovascular system, logging historical heart rate trends, noting baseline irregularities, and tracking sleep stages. While useful, these metrics do not allow a user to actively control a digital interface or provide detailed, real-time insights into the central nervous system.

Transitioning to biomagnetic sensing opens two distinct pathways: clinical diagnostic monitoring and consumer input interfaces. In a clinical context, a contactless sensor integrated into a wearable device could allow continuous, home-based monitoring for patients with progressive neuromuscular disorders. Instead of requiring monthly visits to a specialized clinic for nerve conduction studies, patients could collect high-fidelity data during their daily routines. This longitudinal data would give neurologists a clearer picture of disease progression and treatment efficacy.

Furthermore, the technology could accelerate the discovery of digital biomarkers for motor degeneration. Subtle changes in muscle firing patterns often precede the visible physical symptoms of neurological decline. Continuous, passive monitoring could allow clinicians to detect these micro-changes years earlier than is currently possible with standard observational exams, providing a critical window for therapeutic intervention before irreversible nerve damage occurs.

The challenges of micro-scale magnetic sensing

Engineers at UC Berkeley developed chip-scale sensors that bypass traditional skin-impedance barriers.
Engineers at UC Berkeley developed chip-scale sensors that bypass traditional skin-impedance barriers.The HealthTech Signal

The primary obstacle to clinical adoption of biomagnetic sensing has always been the scale of the equipment. Measuring the brain or muscles' magnetic fields historically required magnetoencephalography systems housed in shielded rooms, utilizing supercooled sensors that rely on liquid helium. These setups cost millions of dollars and require specialized facilities.

Sonera's engineering team succeeded in miniaturizing this capability onto a silicon substrate. By leveraging standard semiconductor manufacturing processes, the startup developed chips capable of operating at room temperature while maintaining the sensitivity required to isolate tiny biological magnetic fields from ambient electromagnetic noise. Incorporating this technology into consumer hardware requires significant silicon expertise, a capability that Apple has built internally over more than a decade. The acquisition ensures that Sonera's proprietary architecture is integrated directly into Apple's custom silicon pipeline rather than being commercialized as a standalone component for competitors.

The stakes for human-computer interaction

Beyond clinical diagnostics, the acquisition positions Apple to redefine how users interact with consumer hardware. Traditional gesture control relies on optical cameras or inertial measurement units, which require physical movement and are limited by the camera's line of sight or the physical momentum of the limb. A biomagnetic sensor, however, can detect the neural intent to move a muscle before the actual physical movement occurs.

This capability points toward ambient, invisible user interfaces. A user could control a smartwatch, a pair of augmented reality glasses, or an external computing interface with subtle, microscopic muscle contractions that are invisible to onlookers. For individuals with severe motor impairments or limb loss, this technology provides a direct pathway for prosthetic control and assistive communication, translating neural signals directly into digital actions without the need for invasive, surgically implanted brain-computer interfaces.

Source: The HealthTech Signal
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