Frenz Brainband

Abstract

The FRENZ brainband is a wearable headband fabricated from versatile cloth and conductive silicon electrodes that may enable for electrical conduction. The scarf has embedded sensors that may measure EEG, EOG and EMG knowledge, SpO2, head place, and coronary heart and respiratory charges in actual time. The system additionally has the power to conduct sound by bone and, primarily based on knowledge from the above utilizing proprietary AI algorithms, the system delivers actual time sonic stimulation that they report can shorten the time to sleep onset, induce higher sleep high quality (e/g/, deep sleep), and optimize wake time. Within the morning, customers can view sleep levels and occasions, positions, HR, RR, and different biometrics. Frenz additionally presents sleep teaching and daytime app classes (e.g., leisure, meditation, different).

Claimed Capabilities/Measurements

The web site claims that this wearable head band can acquire correct sleep knowledge and primarily based on that knowledge (together with sleep levels), in actual time, use audio prompts by way of sound conduction by bone to expedite sleep onset (by a mean of 24 minutes), enhance sleep high quality (for 97% of consumers) and supply for applicable wake occasions and sleep length. Frenz has gained 2023, 2024, and 2025 honoree innovation awards from CES.

Mechanism

The scarf system measures EEG, EOG, EMG, SpO2, place, and coronary heart and respiratory price knowledge. The system makes use of a synthetic intelligence (AI) algorithm to research knowledge and supply actual time sonic stimulation by bone with the intent of shortening time to sleep onset, enhance sleep high quality and permit for optimum wake occasions.

Sensors

8 dry biopotential electrodes, a 3 axis accelerometer, a photoplethysmography sensor, and two bone conduction audio system.

Technical Issues

Restricted info is on the market concerning these points. FRENZ FocusFlow (frenzband.com) is an analogous system worn throughout waking hours that’s purported to enhance focus and focus. This system was a CES 2025 Innovation Award Honoree.

Publications

Quotation: Nguyen A, Pogoncheff G, Dong BX, Bui N, Truong H, Pham N, Nguyen L, Nguyen-Huu H, Bui-Diem Okay, Vu-Tran-Thien Q, Duong-Quy S, Ha S, Vu T. A complete research on the efficacy of a wearable sleep assist system that includes closed-loop real-time acoustic stimulation. Sci Rep. 2023 Oct 16;13(1):17515. doi: 10.1038/s41598-023-43975-1. PMID: 37845236; PMCID: PMC10579321.

DOI: https://doi.org/10.1038/s41598-023-43975-1

URL: https://www.nature.com/articles/s41598-023-43975-1

Business Help: No

Validation Research: Sure

Comparability Check(s): PSG

Research Abstract: This research was sponsored by basis analysis grants (Nationwide Science Basis, Alfred P. Sloan Basis) and concerned 377 comparatively younger (age vary 19-33 yrs) and skinny (imply BMI 21.6 kg/m2) volunteers. The research consisted of two phases. Part 1 was a validation research that in contrast the system collected knowledge with knowledge collected from simultaneous polysomnography to evaluate correlation between the 2 as regards to particular person metrics and sleep scoring. The second section concerned assessing the system’s affect on sleep onset latency utilizing scheduled naps and in a single day sleep in a pattern of the inhabitants. This research additionally utilized a consumer expertise survey concerning comfort, consolation stage, ease of use and audio stimulation satisfaction. The research demonstrated a excessive diploma of correlation between knowledge collected by the system (0.89 +/- 0.03) and good settlement between technician sleep scoring of PSG knowledge and AI sleep scoring from system knowledge (87.8% settlement). Within the pattern who used the system, the system reportedly lowered the length of falling asleep by a mean of 24.1 minutes.