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For Audiologists

What Can Neosensory Do For My Patients?

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Neosensory builds inexpensive, non-invasive technology to enhance sound perception through the skin. Our wristband is a complementary device to amplification (e.g. hearing aids, cochlear implants).
This is a research-backed device that provides clinically-meaningful benefits (sound awareness, improvement in speech discrimination, and tinnitus-reduction). See research papers below.

For Your Tinnitus Patients

Tinnitus affects 10 – 15% of people. It’s not rare, but it can be difficult to live with. There’s no cure for tinnitus, but new neuroscience research shows that pairing notes with touch (known as bimodal stimulation) can reduce the volume and annoyance of ringing in the ears. This was originally done with tones plus shocks on the tongue, with strong results: more than 80% of participants were significantly helped, with an average of 25% reduction in symptoms.

 

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Our Tinnitus Solution: Neosensory Duo

For Neosensory Duo, we have made this simpler and more effective. Your patients download our free app, put on the wristband, and listen to a specially designed series of notes for 10 minutes a day. The sounds and our patented vibrations are synchronized, which tells the brain which sounds are external and which are internal. Over the course of weeks, neuroplasticity sets in to pay less attention to the internal sounds. Tinnitus becomes less challenging to deal with on a daily basis. Most users participate in our program for 2 months, some find it useful to keep it for 3 months, and others keep it forever.

Symptomatology monitoring: our free app includes a Tinnitus Functional Index tracker, allowing your patients to record their improvement effortlessly over time. In the recommended follow-up visit after 8 weeks of exercises, patients should bring their smartphone to share with you their TFI results.

Relief over duration of program

Relief Duration

Over 87% of users find relief

Circle Chart

Figure 1. Efficacy of the Neosensory Tinnitus Program. Results from 29 participants. (a) Average tinnitus severity diminished by one-third. (b) The vast majority of users found significant relief.

Perrotta M & Eagleman DM (2021). Use of sound-touch bimodal stimulation to reduce symptoms of tinnitus. Frontiers in Neuroscience. In preparation.
Conlon B, Langguth B, Hamilton C, Hughes S, Meade E, Connor CO, Schecklmann M, Hall DA, Vanneste S, Leong SL, Subramaniam T (2020). Bimodal neuromodulation combining sound and tongue stimulation reduces tinnitus symptoms in a large randomized clinical study. Science Translational Medicine. 12(564).
Eagleman DM (2020). Livewired. Pantheon Books.
Marks KL, Martel DT, Wu C, Basura GJ, Roberts LE, Schvartz-Leyzac KC, Shore SE (2018). Auditory-somatosensory bimodal stimulation desynchronizes brain circuitry to reduce tinnitus in guinea pigs and humans. Science Translational Medicine. 10(422).

ID Surfaces

For Your Deaf and HoH Patients

For years we have studied how people who are deaf or hard of hearing can learn to identify sounds that are algorithmically translated into spatiotemporal patterns of vibration on the skin of the wrist.

In our peer-reviewed, published data, we have demonstrated that in a three-alternative forced choice task, participants could determine the identity of up to 95% of the stimuli simply by the spatial pattern of vibrations on the skin. Performance improved significantly over the course of 1 month. Similar results were obtained with pattern discrimination, in which a pattern representing the sound of one word was presented to the skin, followed by that of a second word. Participants answered whether the word was the same or different.

With minimal difference pairs (distinguished by only one phoneme, such as “house” and “mouse”), the best performance was 83% (average of 62%), while with non-minimal pairs (such as “house” and “zip”) the best performance was 100% (average of 70%).

These results demonstrate that participants are capable of using the channel of the skin to interpret sound.

Buzz Results Perrota

Perrotta, Asgeirsdottir, Eagleman (2021). Deciphering sounds through patterns of vibration on the skinNeuroscience.
Eagleman (2020). Livewired . New York: Pantheon.
Novich & Eagleman (2015). Using space and time to encode vibrotactile information: toward an estimate of the skin’s achievable throughputExperimental Brain Research.

Interested in learning more about Neosensory for your patients? Get started.

Assembly

Our Technology

Our algorithms use over 29,000 different patterns based on sound intensity and pitch. Our studies in bimodal stimulation demonstrate clinically-significant reductions in tinnitus severity for 87% of users. The frequency response is adjustable to customize the experience.
Developed by Stanford neuroscientist Dr. David Eagleman with Dr. Scott Novich.

Why Does This Work?

Learn more about our company’s groundbreaking developments with sensory substitution in our TED talk.

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How does this fit into the concepts of brain plasticity?
Read the Pulitzer-prize nominated book by Stanford University neuroscientist David Eagleman, Neosensory’s CEO.

Get in touch with one of our sales specialists today.

Technical Spec Sheet

Band

Weight – Large (grams) 51
Weight – Small (grams) 49
Max operation temp (C) 51
Water resistance rating IP54
Buzz

Buzz is a device that takes sounds arround the wearer’s environment and translates them into patterns of vibration.

Battery

Battery type Lithium Polymer
Max battery voltage (V) 4.1
Battery capacity (mAH) 270
Peak current (mA) 568
Typical active current average (mA) 24
Idle current (mA) 2.6
Off current (mA) .9
Typical battery life (hours) 39

Microphone

Frequency range (Hz) 300 to 7500
Reference test frequency (kHz) 1
Harmonic distortion reference (SPL) 105
Harmonic distortion (%) .2
Directionality Omni
Equivalent input noise (dBA SPL) 29
Dynamic range (dB) 91
Acoustic overload point (dB SPL) 120
Absolute max (dB SPL) 160
Sensitivity levels3 3
Feedback suppression Yes
Ambient noise suppression Yes
Frequency range adjustable Yes

Plots bottom at 29dB (noise-floor)

Typical Microphone Sensitivity vs Frequency (mid motor activation)

Plot 1

Typical Microphone Sensitivity vs Frequency (minimum motor activation)

Plot 1

Vibration units

Type Linear Resonant Actuators
Resonant frequency (Hz) 175
Number of vibration units 4
Virtual vibration points1 256
Typical end-to-end latency (ms)2 23

Connectivity

Wireless support (optional) Bluetooth LE
Wireless Tx Active (dBm) -2
Charger port USB-C
Charge time (minutes) 45
App support iPhone and Android

Everyday mode

Ambient noise suppression4, Low sensitivity (dB) 30
Ambient noise suppression, Medium sensitivity (dB) 4
Ambient noise suppression, High sensitivity (dB) 2
Attenuation5, Low sensitivity (dB) 61
Attenuation, Medium sensitivity 2 (dB) 16
Attenuation, High sensitivity 3 (dB) 0

Night mode

Ambient noise suppression4, Low sensitivity (dB) 0
Ambient noise suppression, Medium sensitivity (dB) 0
Ambient noise suppression, High sensitivity (dB) 0
Attenuation5, Low sensitivity (dB) 26
Attenuation, Medium sensitivity 2 (dB) 6
Attenuation, High sensitivity 3 (dB) 0

Night mode

Ambient noise suppression4, Low sensitivity (dB) 0
Ambient noise suppression, Medium sensitivity (dB) 0
Ambient noise suppression, High sensitivity (dB) 0
Attenuation5, Low sensitivity (dB) 36
Attenuation, Medium sensitivity 2 (dB) 26
Attenuation, High sensitivity 3 (dB) 11
Buzz

Footnotes

  • 1 Certain algorithms on Buzz leverage a haptic illusion that can give the effect of 256 points of vibration around the wrist
  • 2 Typical time between the Buzz picking up a sound and vibrating
  • 3 Buzz supports 3 "Sensitivity Levels," as indicated by the device LEDs ranging from Level 1 (1 LED) = least sensitive to Level 3 (3 LEDs) = most sensitive. These levels indicate how loud sound in the environment needs to be for Buzz to vibrate.
  • 4 Suppression is how many dB above the background noise a sound needs to be for Buzz to vibrate
  • 5 Attenuation is how many dB above the microphone's own noise floor sound needs to be for Buzz to vibrate

Scientific References

Perrotta MV, Asgeirsdottir T, Eagleman DM (2021). Deciphering sounds through patterns of vibration on the skin. Neuroscience. [text]
Fletcher MD, Zgheib, J. (2020) Haptic sound‑localisation for use in cochlear implant and hearing‑aid users. Nature Scientific Reports [text]
Fletcher MD, Song H, Perry SW (2020) Electro-haptic stimulation enhances speech recognition in spatially separated noise for cochlear implant users. Nature Scientific Reports [text]
Fletcher MD, Thini N, Perry SW (2020) Enhanced pitch discrimination for cochlear implant users with a new haptic neuroprosthetic. Nature Scientific Reports [text]
Fletcher MD, Cunningham RO, Mills SR (2020) Electro-haptic enhancement ​of spatial hearing in cochlear implant users. Nature Scientific Reports [text]
Fletcher MD, Hadeedi A, Goehring T, Mills SR (2019) Electro-haptic enhancement of speech-in-noise performance in cochlear implant users. Nature Scientific Reports [text]
Novich SD, Eagleman DM (2015). Using space and time to encode vibrotactile information: toward an estimate of the skin’s achievable throughput. Experimental Brain Research. 233(10):2777-2788. [text]
Novich SD (2015). Sound-to-Touch Sensory Substitution and Beyond. PhD Thesis from Dr. Eagleman’s laboratory. [text]

Get in touch with one of our sales specialists today.