- Framingham MA, US Jeffrey M. ELLENBOGEN - Towson MD, US Matthew Chace CARPENTER - North Attleboro MA, US Steven Carl PLETCHER - Hopkinton MA, US Chia-Ling LI - Framingham MA, US
International Classification:
G10K 11/175 H04R 29/00
Abstract:
Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, sleep disturbing noises are predicted and a biosignal parameter is measured to dynamically mask predicted disturbing environmental noises in the sleeping environment with active attenuation. Environmental noises in a sleeping environment of a subject are detected, input, or predicted based on historical data of the sleeping environment collected over a period of time. The biosignal parameter is used to determine sleep physiology of a subject. Based on the environmental noises in the sleeping environment and the determined sleep physiology, the noises are predicted to be disturbing or non-disturbing noises. For predicted disturbing noises, one or more actions are taken to regulate sleep and avoid sleep disruption by using sound masking prior to or concurrently with the occurrence of the predicted disturbing noises.
- Framingham MA, US Jeffrey M. ELLENBOGEN - Towson MD, US Matthew Chace CARPENTER - North Attleboro MA, US Steven Carl PLETCHER - Hopkinton MA, US Chia-Ling LI - Framingham MA, US
Aspects of the present disclosure provide methods, apparatuses, and systems for dynamically masking audible breathing noises determined to be generated by one or more sleeping partners. According to aspects, a subject's sleep is protected by detecting audible breathing noises in a sleeping environment, determining the audible breathing noises are not generated by the subject, and mitigating the perception of the audible breathing noises that are determined to originate from anther subject, such as a bed partner, pet, etc. The dynamic masking reduces the subject's exposure to unnecessary sounds and reduces the chances of masking sounds disturbing the subject's sleep.
- Framingham MA, US Jeffrey M. ELLENBOGEN - Towson MD, US Matthew Chace CARPENTER - North Attleboro MA, US Steven Carl PLETCHER - Hopkinton MA, US Chia-Ling LI - Framingham MA, US
International Classification:
G10K 11/175 H04R 29/00 A61M 21/02
Abstract:
Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, sleep disturbing noises are predicted and a biosignal parameter is measured to dynamically mask predicted disturbing environmental noises in the sleeping environment with active attenuation. Environmental noises in a sleeping environment of a subject are detected, input, or predicted based on historical data of the sleeping environment collected over a period of time. The biosignal parameter is used to determine sleep physiology of a subject. Based on the environmental noises in the sleeping environment and the determined sleep physiology, the noises are predicted to be disturbing or non-disturbing noises. For predicted disturbing noises, one or more actions are taken to regulate sleep and avoid sleep disruption by using sound masking prior to or concurrently with the occurrence of the predicted disturbing noises.
- Framingham MA, US Jeffrey M. ELLENBOGEN - Towson MD, US Matthew Chace CARPENTER - North Attleboro MA, US Steven Carl PLETCHER - Hopkinton MA, US Chia-Ling LI - Framingham MA, US
Aspects of the present disclosure provide methods, apparatuses, and systems for a personalized wake-up system. A sleep assistance device outputs a sound. In response to detecting a sound that exhibits one or more predetermined sound properties, actions are taken to adjusting the sound in an effort to wake the subject. Examples of predetermined sound properties include any sound detected over a threshold decibel level, sounds detected at a certain frequency spectrum. According to aspects, subject may further configure the system to alert the subject based on a set of personalized sounds the subjects considers to be important. According to aspects, the audio device or system is configured to determine the subject is awake based on collected biosignal parameters. The audio device or system takes further actions to disrupt the subject's sleep until the subject is determined to be awake.
Western Illinois Cancer Treatment Center 450 Mayo Dr, Galesburg, IL 61401 3093442831 (phone), 3093442014 (fax)
Central Illinois Radiation Oncology 221 NE Gln Oak Ave, Peoria, IL 61636 3096725700 (phone), 3096712774 (fax)
Education:
Medical School Thomas Jefferson University, Jefferson Medical College Graduated: 1987
Conditions:
Osteoarthritis Rheumatoid Arthritis
Languages:
English
Description:
Dr. Carpenter graduated from the Thomas Jefferson University, Jefferson Medical College in 1987. He works in Peoria, IL and 1 other location and specializes in Radiation Oncology and Internal Medicine. Dr. Carpenter is affiliated with Galesburg Cottage Hospital, OSF St Mary Medical Center, UnityPoint Health Methodist Hospital and Unitypoint Health Proctor Hospital.
Ole MetairiePrincipal/Construction Manager at Carpenter's Comp... Past: Shredding Operations Manager at PHNS/ Hunter Medical Services, Professonal Insurance... Energetic and Ambitous
We need to have smart, science-based, regulatory policy that keeps e-cigarettes out of the hands of non-users, but may get them into the hands of smokers, said Matthew Carpenter, a tobacco control and addiction expert at the Hollings Cancer Center at the Medical University of South Carolina and th
Date: Jan 08, 2018
Category: Health
Source: Google
Smokers Willing to Try E-Cigarettes More Successful at Smoking Less, Study Says
The results are consistent with trials done outside the US, Matthew Carpenter, PhD, lead author and a tobacco control and addiction expert at the cancer center at the Medical University of South Carolina,
The study found that smokers who are willing to use e-cigarettes tend to smoke less and have increased quit attempts, said Matthew Carpenter, Ph.D., a tobacco control and addiction expert at the cancer center at the Medical University of South Carolina (MUSC).