A study published in Frontiers in Psychiatry points to mental fitness vocal biomarkers (MFVB) as a promising approach to support mental health monitoring, engagement, and care.
Boston, March 11, 2024–(BUSINESS WIRE)–New research from Sonde Health shows that the company's Mental Fitness Vocal Biomarker (MFVB) platform can help identify individuals with elevated mental health symptoms. It has been verified that it can be reliably identified. A four-week cohort study found a statistically significant correlation between identifying increased or decreased mental health risk based on audio and results on the M3 Checklist, a clinically validated mental health assessment. It became clear that there is.
This study was published in a peer-reviewed journal frontiers of psychiatryspecifically highlights the potential of audio biomarker and sonde technologies to provide objective data that can complement clinical care and improve self-monitoring of conditions such as depression, stress and trauma-related symptoms, and anxiety. .
Over the course of four weeks, study participants recorded their thoughts and feelings in 30-second audio diaries using Sonde's mental fitness smartphone app. The MFVB monitoring tool analyzes free voice recordings for eight acoustic features related to mental health (jitter, shimmer, pitch variation, energy variation, vowel spacing, phonation duration, speech rate, and pause duration) and provides a range of We calculated real-time MFVB scores. From 0 to 100. Scores of 80–100 were classified as “excellent,” 70–79 as “good,” and 0–69 as “cautious.” The MFVB scores were then cross-referenced with the participant's results on her M3 checklist.
Participants were twice as likely to report elevated mental health symptoms if their MFVB score remained in the “attention” range over two weeks versus in the “very good” range. This effect was even more pronounced for participants who used the tool more frequently. According to the M3 Checklist, those who used it five to six times a week were 8.5 times more likely to show elevated mental health symptoms.
Eric Larsen, senior vice president of clinical development and customer success at Sonde Health, said: “These results demonstrate that vocal biomarkers can provide meaningful insights into mental health in a preventive and scalable way. We believe we can encourage people to develop good habits and proactively reduce their mental health risks.” ”
Study participants showed positive engagement and reported good experiences with the MFVB tool. About 40% changed their behavior or lifestyle in some way, and 30% saw a benefit to their well-being. 72% of participants would like to continue using the MFVB app to track their status in the future.
“The ability to collect mental health data from patients between visits has the potential to change the way we monitor symptoms and optimize treatment plans,” says Cognitive Behavioral Institute (CBI) licensed psychologist and clinical psychologist. said Director Dr. Lindsey Beneske. About research. “Voice-based health tracking technology can provide accurate insights into a client's mental health status over time, and can be done seamlessly and unobtrusively with little additional effort for the client. Masu.”
The study enrolled 104 psychiatric outpatients with at least one clinician-verified symptom of depression from the Cognitive Behavioral Research Institute in Pittsburgh, Pennsylvania. Participants were assessed and encouraged to interact with the MFVB app as often as needed over their four-week period from May 2023 until August 2023.
Sonde's MFVB technology is already integrated into consumer health monitoring apps, life insurance health apps, consumer audio wearables, and cars.
About Sonde Health
Sonde Health is a global leader in voice-based health tracking and data insights. Sonde's voice biomarker API/SDK serves a wide range of enterprise apps and devices from consumer health to population health. Sonde leverages best-in-class audio datasets and clinical research, including his over 1.2 million samples from over 85,000 people across four continents, and combines advanced audio signal processing, audio science, and AI/machine learning. to detect and analyze subtle vocal changes caused by audio. Analyze changes in human physiology and provide important insights into health and well-being. www.sondehealth.com
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