Zobrazeno 1 - 10
of 601
pro vyhledávání: '"YOSHIHARU YAMAMOTO"'
Autor:
Kun Qian, Ruolan Huang, Zhihao Bao, Yang Tan, Zhonghao Zhao, Mengkai Sun, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Intelligent Medicine, Vol 4, Iss 2, Pp 96-103 (2024)
Objective: Speech recognition technology is widely used as a mature technical approach in many fields. In the study of depression recognition, speech signals are commonly used due to their convenience and ease of acquisition. Though speech recognitio
Externí odkaz:
https://doaj.org/article/415f5dedbc7e4066ae4f458de9f20938
Autor:
Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Zixing Zhang, Zhe Nan, Muxuan Tang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Björn Schuller, Yoshiharu Yamamoto
Publikováno v:
JMIR Mental Health, Vol 11, p e59512 (2024)
BackgroundThe field of mental health technology presently has significant gaps that need addressing, particularly in the domain of daily monitoring and personalized assessments. Current noninvasive devices such as wristbands and smartphones are capab
Externí odkaz:
https://doaj.org/article/17b09b9abe44436494fd8e163ca8fbab
Autor:
Hiroki Takeuchi, Tetsuro Ishizawa, Akifumi Kishi, Toru Nakamura, Kazuhiro Yoshiuchi, Yoshiharu Yamamoto
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e49669 (2024)
BackgroundSleep disturbance is a major contributor to future health and occupational issues. Mobile health can provide interventions that address adverse health behaviors for individuals in a vulnerable health state in real-world settings (just-in-ti
Externí odkaz:
https://doaj.org/article/7818a95e2b2845f58d4675a5b724183a
Autor:
Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-9 (2023)
Abstract Snoring affects 57 % of men, 40 % of women, and 27 % of children in the USA. Besides, snoring is highly correlated with obstructive sleep apnoea (OSA), which is characterised by loud and frequent snoring. OSA is also closely associated with
Externí odkaz:
https://doaj.org/article/61f6407b3c454010a3ea44a79b1a76e5
Autor:
Wanyong Qiu, Chen Quan, Yongzi Yu, Eda Kara, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
Cardiovascular diseases are a prominent cause of mortality, emphasizing the need for early prevention and diagnosis. Utilizing artificial intelligence (AI) models, heart sound analysis emerges as a noninvasive and universally applicable approach for
Externí odkaz:
https://doaj.org/article/19baca19286348dfae848eb31e7a2b20
Autor:
Kun Qian, Zhihao Bao, Zhonghao Zhao, Tomoya Koike, Fengquan Dong, Maximilian Schmitt, Qunxi Dong, Jian Shen, Weipeng Jiang, Yajuan Jiang, Bo Dong, Zhenyu Dai, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade. Nevertheless, lacking on standard open-access database made it diffic
Externí odkaz:
https://doaj.org/article/131945e6d29347be828b5b8375bba358
Autor:
Lisa-Marie Wadle, Ulrich W Ebner-Priemer, Jerome C Foo, Yoshiharu Yamamoto, Fabian Streit, Stephanie H Witt, Josef Frank, Lea Zillich, Matthias F Limberger, Ayimnisagul Ablimit, Tanja Schultz, Maria Gilles, Marcella Rietschel, Lea Sirignano
Publikováno v:
JMIR Mental Health, Vol 11, p e49222 (2024)
BackgroundThe use of mobile devices to continuously monitor objectively extracted parameters of depressive symptomatology is seen as an important step in the understanding and prevention of upcoming depressive episodes. Speech features such as pitch
Externí odkaz:
https://doaj.org/article/db5e72ef3e5c49369777dd46e56518ad
Autor:
Meishu Song, Zijiang Yang, Emilia Parada-Cabaleiro, Xin Jing, Yoshiharu Yamamoto, Björn Schuller
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionThe Autonomous Sensory Meridian Response (ASMR) is a combination of sensory phenomena involving electrostatic-like tingling sensations, which emerge in response to certain stimuli. Despite the overwhelming popularity of ASMR in the social
Externí odkaz:
https://doaj.org/article/545fbaf873e14130b89972de415c1e0a
Publikováno v:
Cyborg and Bionic Systems, Vol 4 (2023)
The sound generated by body carries important information about our health status physically and psychologically. In the past decades, we have witnessed a plethora of successes achieved in the field of body sound analysis. Nevertheless, the fundament
Externí odkaz:
https://doaj.org/article/2e5a944e81ed471fb3a3efde6bfa14b0
Autor:
Hiroki Takeuchi, Kaori Suwa, Akifumi Kishi, Toru Nakamura, Kazuhiro Yoshiuchi, Yoshiharu Yamamoto
Publikováno v:
JMIR mHealth and uHealth, Vol 10, Iss 10, p e39150 (2022)
BackgroundSleep is beneficial for physical and mental health. Several mobile and wearable sleep-tracking devices have been developed, and personalized sleep feedback is the most common functionality among these devices. To date, no study has implemen
Externí odkaz:
https://doaj.org/article/fc622f8b0b1147f797a237be8f171632