Technical Feasibility of Acoustic Coordinated Reset Therapy for Tinnitus Delivered via Hearing Aids: A Case Study

The effectiveness of two types of low-level laser therapy in patients with persistent tinnitus

Tinnitus is a perception disorder of sound with no hearing impulse. It is a very common otology complaint that leads to worsening quality of life. The experience of sound is only the product of neural system activity, with no matching mechanical or vibratory activity in the cochlea, and is unrelated to any external stimuli. Low-level laser therapy (LLLT) is a medical treatment of tinnitus that uses low-energy-level lasers or light-emitting diodes to stimulate or inhibit cellular function. The study included nine patients aged 20-68 years with unilateral or bilateral tinnitus. It was a self-controlled clinical trial study on subjective tinnitus. All patients attended the ENT outpatient Department, Rzgari Teaching Hospital, Erbil, Iraq. Two types of low-level laser therapy (LLLT) devices were used for patients. The first tool, a soft laser called a Tinnitool, has a wavelength of 660 nm and a power of 100 mW. The second tool is a Tinnitus Pen, which has a wavelength of 650 nm and a power of 5 mW. Seven females (77.7%) and two males (22.2%) participated in this study during one month. The mean age of the study sample was 44 years, with a standard deviation of 15.59 years. There was a significant improvement in the comparison of both types of therapy low-level laser before and after treatment, which reduced the tinnitus level among patients from 70% before treatment to 59% and 65.50%, respectively, after one month of treatment. A paired t test was applied to assess this difference before and after treatment. LLLT devices can be an effective device tool for the treatment of tinnitus and can reduce the symptoms of annoyance that affect the life of the sufferer.

A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics

Background: Digital processing has enabled the development of several generations of technology for tinnitus therapy. The first digital generation was comprised of digital Hearing Aids (HAs) and personal digital music players implementing already established sound-based therapies, as well as text based information on the internet. In the second generation Smart-phone applications (apps) alone or in conjunction with HAs resulted in more therapy options for users to select from. The 3rd generation of digital tinnitus technologies began with the emergence of many novel, largely neurophysiologically-inspired, treatment theories that drove development of processing; enabled through HAs, apps, the internet and stand-alone devices. We are now of the cusp of a 4th generation that will incorporate physiological sensors, multiple transducers and AI to personalize therapies. Aim: To review technologies that will enable the next generations of digital therapies for tinnitus. Methods: A "state-of-the-art" review was undertaken to answer the question: what digital technology could be applied to tinnitus therapy in the next 10 years? Google Scholar and PubMed were searched for the 10-year period 2011-2021. The search strategy used the following key words: "tinnitus" and ["HA," "personalized therapy," "AI" (and "methods" or "applications"), "Virtual reality," "Games," "Sensors" and "Transducers"], and "Hearables." Snowballing was used to expand the search from the identified papers. The results of the review were cataloged and organized into themes. Results: This paper identified digital technologies and research on the development of smart therapies for tinnitus. AI methods that could have tinnitus applications are identified and discussed. The potential of personalized treatments and the benefits of being able to gather data in ecologically valid settings are outlined. Conclusions: There is a huge scope for the application of digital technology to tinnitus therapy, but the uncertain mechanisms underpinning tinnitus present a challenge and many posited therapeutic approaches may not be successful. Personalized AI modeling based on biometric measures obtained through various sensor types, and assessments of individual psychology and lifestyles should result in the development of smart therapy platforms for tinnitus.