東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Enabling Smart Health Applications via Active Acoustic Sensing on Commodity Mobile Devices.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Enabling Smart Health Applications via Active Acoustic Sensing on Commodity Mobile Devices./
Author:	Song, Xingzhe.
Description:	1 online resource (107 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-06, Section: B.
Contained By:	Dissertations Abstracts International84-06B.
Subject:	Biomarkers. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30163834click for full text (PQDT)
ISBN:	9798358403109

Enabling Smart Health Applications via Active Acoustic Sensing on Commodity Mobile Devices.
Song, Xingzhe.

Enabling Smart Health Applications via Active Acoustic Sensing on Commodity Mobile Devices. - 1 online resource (107 pages)

Source: Dissertations Abstracts International, Volume: 84-06, Section: B.

Thesis (Ph.D.)--University of Pittsburgh, 2022.

Includes bibliographical references

Past decades have witnessed the development and prosperity of mobile and wearable devices with their merits of portability, energy efficiency, and computational capability. Among applications implemented on these devices, smart health is an emerging field that deploys mobile applications to monitor vital signals, manage healthcare records and conduct disease diagnoses. However, existing techniques are limited to measuring health metrics with evident biomarkers such as induced sound or visual change unless dedicated medical sensors are attached. To improve the practicality and feasibility of smart health applications, this thesis aims to utilize active acoustic sensing on subtle biomarkers that are not audible or observable.This thesis has three major aspects of establishing the active acoustic sensing framework using speaker-microphone pair that are widely available on mobile devices. First, a new system design is proposed to support complete, accurate yet reliable spirometry tests in regular home settings. To achieve this, it measures the chest wall motion based on the sonar system and interprets such motion into lung function indices. Secondly, when the biomarker cannot be intuitively captured as object motion, a channel estimation approach is adopted to quantify muscle tremor induced by muscle fatigue. Lastly, with additional sensing attachments and physiological correlation, active acoustic sensing functionality is further broadened to facial expressions recognition, an intrinsic indicator of mental well-being.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798358403109Subjects--Topical Terms:

2205735
Biomarkers.
Index Terms--Genre/Form:

542853
Electronic books.

Enabling Smart Health Applications via Active Acoustic Sensing on Commodity Mobile Devices.
LDR:02846nmm a2200325K 4500 001 2356815
005 20230619080120.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798358403109
035 $a (MiAaPQ)AAI30163834
035 $a (MiAaPQ)Pittsburgh43303
035 $a AAI30163834
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Song, Xingzhe. $3 3697321
245 1 0 $a Enabling Smart Health Applications via Active Acoustic Sensing on Commodity Mobile Devices.
264 0 $c 2022
300 $a 1 online resource (107 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-06, Section: B.
500 $a Advisor: Li, Hongshuai ; Huppert, Theodore ; Akcakaya, Murat ; Mao, Zhihong ; El-Jaroudi, Amro ; Gao, Wei.
502 $a Thesis (Ph.D.)--University of Pittsburgh, 2022.
504 $a Includes bibliographical references
520 $a Past decades have witnessed the development and prosperity of mobile and wearable devices with their merits of portability, energy efficiency, and computational capability. Among applications implemented on these devices, smart health is an emerging field that deploys mobile applications to monitor vital signals, manage healthcare records and conduct disease diagnoses. However, existing techniques are limited to measuring health metrics with evident biomarkers such as induced sound or visual change unless dedicated medical sensors are attached. To improve the practicality and feasibility of smart health applications, this thesis aims to utilize active acoustic sensing on subtle biomarkers that are not audible or observable.This thesis has three major aspects of establishing the active acoustic sensing framework using speaker-microphone pair that are widely available on mobile devices. First, a new system design is proposed to support complete, accurate yet reliable spirometry tests in regular home settings. To achieve this, it measures the chest wall motion based on the sonar system and interprets such motion into lung function indices. Secondly, when the biomarker cannot be intuitively captured as object motion, a channel estimation approach is adopted to quantify muscle tremor induced by muscle fatigue. Lastly, with additional sensing attachments and physiological correlation, active acoustic sensing functionality is further broadened to facial expressions recognition, an intrinsic indicator of mental well-being.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Biomarkers. $3 2205735
650 4 $a Sensors. $3 3549539
650 4 $a Information technology. $3 532993
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0489
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Pittsburgh. $3 958527
773 0 $t Dissertations Abstracts International $g 84-06B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30163834 $z click for full text (PQDT)