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Showing 1–12 of 12 results
Advanced filters: Author: Shyamnath Gollakota Clear advanced filters

  • An intelligent headset system that uses real-time neural networks run on an embedded central processing unit can create sound bubbles that selectively isolate groups of users from outside sounds.

    • Tuochao Chen
    • Malek Itani
    • Shyamnath Gollakota
    Research
    Nature Electronics
    Volume: 7, P: 1047-1058

  • A low-cost probe for otoacoustic emissions made from off-the-shelf earbuds and microphones performs similarly to a clinical-grade device, as shown via a clinical study involving 201 paediatric ears screened for hearing loss.

    • Justin Chan
    • Nada Ali
    • Shyamnath Gollakota
    Research
    Nature Biomedical Engineering
    Volume: 6, P: 1203-1213

  • Therapy with anticoagulants requires frequent monitoring. Here the authors describe a proof-of-concept study of a simple and affordable blood clot test that uses a smartphone’s vibration motor and camera to track micro-movements in a single drop of blood.

    • Justin Chan
    • Kelly Michaelsen
    • Shyamnath Gollakota
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12

  • A dandelion-inspired wireless solar-powered sensing device weighing 30 milligrams that transmits data through radio backscatter achieves dispersal over a wide area by travelling on the breeze, and successfully lands upright.

    • Vikram Iyer
    • Hans Gaensbauer
    • Shyamnath Gollakota
    Research
    Nature
    Volume: 603, P: 427-433

  • Want to mute or focus on speech from a specific region in a crowded room? Here, the authors built an acoustic swarm that, along with neural networks, separates and localizes concurrent speakers in the 2D space with high precision.

    • Malek Itani
    • Tuochao Chen
    • Shyamnath Gollakota
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-16

  • The features of smart devices such as smartphones and smart watches, including speakers, microphones and other sensors, can be leveraged for the design of mobile medical systems. This Review discusses acoustic-based, vision-based and sensor fusion systems that rely on smart device hardware and software for remote health and disease assessment.

    • Justin Chan
    • Mayank Goel
    • Rajalakshmi Nandakumar
    Reviews
    Nature Reviews Bioengineering
    Volume: 3, P: 855-874

  • Chan et al. develop an open-source smartphone-based tympanometer to evaluate middle ear function. The authors test their device in a group of paediatric patients at an audiology clinic and report a high level of agreement in audiologists’ classification of tympanograms produced using this device compared with a commercial device.

    • Justin Chan
    • Ali Najafi
    • Shyamnath Gollakota
    ResearchOpen Access
    Communications Medicine
    Volume: 2, P: 1-11

  • Anran Wang et al. present a contact-free method of monitoring individual heart beats by converting smart-speakers into active sonar systems. Their approach is capable of measuring heart rhythms with high accuracy in both healthy participants and hospitalized patients, and may be a useful healthcare tool for remote diagnosis or patient monitoring.

    • Anran Wang
    • Dan Nguyen
    • Shyamnath Gollakota
    ResearchOpen Access
    Communications Biology
    Volume: 4, P: 1-12