Unconstrained Sleep Measuring Device for Breathing Movement 非穿戴式睡眠呼吸運動量測裝置 Presenter: Kun-Han Jhan Advisor: Dr. Chun-Ju Hou Date:2013/12/25

Outline Problems and Rationale Purpose and Specific Aims Background and Literatures Review Materials and Methods Preliminary Results References 2

Problems and Rationale Insomnia ratio: 19.3 % ◦ Taiwan Society of Sleep Medicine (2013) 3

Problems and Rationale Sleep disorders ◦ Arousal and sleep fragmentation ◦ Much movement during sleep ◦ Restless legs syndrome during sleep ◦ Periodic limb movements during sleep ◦ Sleep apnea 4

Problems and Rationale Sleep apnea features ◦ Snoring ◦ Fatigue ◦ Sleep deficit ◦ Duration of breathe pause:10s~90s 5

Problems and Rationale Technologies for the evaluation of sleep problems ◦ Evaluating the quality of sleep  Sleep diary, questionnaire  Polysomnography (PSG), actigraph ◦ Preventing pressure sore and falling  Air mattress, image monitor, pressure sensing mattress 6

Problems and Rationale Disadvantage of current techniques in evaluating the quality of sleep ◦ Subjective evaluation ◦ Need to memorize sleeping status after waking up ◦ Need to wear multiple sensors on body ◦ Limitation of manpower in clinical care ◦ The privacy problem 7

Purpose and Specific Aims Design an unconstrained sleep measuring device for breathing movement. ◦ Analog and digital circuits design ◦ System calibration and experimental verification 8

Background and Literatures Review Validation of Unobtrusive Pressure Sensor Array for Central Sleep Apnea Screening 9 Daphne Townsend, Student Member, Rafik Goubran, Fellow, Frank Knoefel, and Judith Leech IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 61, NO. 7, JULY 2012

Identifying body movement 10 Background and Literatures Review

Pressure Sensor Array v.s PSG 11

Background and Literatures Review Detection of Sleep Disordered Breathing with Pressure Bed Sensor 12 Guillermina Guerrero, Juha M. Kortelainen,Elvia Palacios, Anna M. Bianchi,Giulia Tachino, Mirja Tenhunen, Martin O. Méndez,and Mark van Gils 35th Annual International Conference of the IEEE EMBS,Osaka, Japan, July, 2013

Background and Literatures Review The eight different Pressure Bed Sensor respiration signals 13

Materials and Methods System architecture 14 Pressure Sensor Mattress Analogy Circuit Module Digital Circuit Module Analogy and Digital Circuits Bluetooth Module Computer Digital Signal Process Display Pressure Signal

Materials and Methods System architecture 15 Pressure Sensor Mattress Constant Voltage Source Constant Voltage Source Constant Voltage Source Constant Voltage Source Constant Voltage Source Constant Voltage Source Constant Voltage Source Bridge circuit AD623 Multi-channel measurement module Sensor 1~7 Sensor 8~14 Sensor 15~21 Sensor 22~28 Sensor 29~35 Sensor 36~42 Sensor 43~49 7 –Channel analog signal

Materials and Methods Pressure Sensor ◦ Force sensing resistors (FSR)  Flexible 16

Materials and Methods Design of sensor pad ◦ Size: 70cm × 70cm ◦ No. of sensor: 7 × 7 FSRs 17

Materials and Methods Bridge circuit ◦ Can detect small resistance changes ◦ Adjust the lower limit of measurement 18

Materials and Methods Instrumentation Amplifier ◦ AD623 ◦ Frequency response  800kHz at gain:1 ◦ CMRR: 90dB 19

Materials and Methods Multi-channel measurement module ◦ 7 Multiplexer ◦ 1 Decoder

Materials and Methods MSP430F5438A ◦ Low Supply Voltage Range  2.2V to 3.6V ◦ Ultralow Power Consumption ◦ A/D converter with 12-bit,and 16-channel input ◦ 4 USCI ◦ 16K RAM ◦ 256 KB Flash Memory ◦ Shortest cycle instruction execution 125ns ◦ I/O pins:87 21

Materials and Methods Bluetooth Mode ◦ BTD43x ◦ Low cost ◦ Low power ◦ Serial Port Profile ◦ HyperTerminal Settings ◦ Transmission distance:100m 22

Materials and Methods System Caliration ◦ FSR calibration ◦ System calibration 23

Materials and Methods FSR calibration 24 Different Force input (20 g to 500 g) Pressure sensor Multi-meter (K ohm)

Materials and Methods Calibration of analog circuit 25 different input resistance Analog circuit (49 channel) Multi-meter (V) Input resistance 1)150k Ω 2)7k 3)3k 4)2k 5)1k 6)0.5k

Preliminary Results FSR calibration 26

Preliminary Results Digital circuit calibration 27

Preliminary Results Pressure distribution 28 Aspiratory Aspirated

Preliminary Results Pressure distribution 29 Aspiratory Aspirated

Preliminary Results Pressure distribution 30 Aspiratory Aspirated

Preliminary Results Pressure distribution 31 Aspiratory Aspirated

References References 台灣睡眠醫學學會 Daphne Townsend, Student Member, IEEE, Rafik Goubran, Fellow, IEEE, Frank Knoefel, and Judith Leech(2012), Validation of Unobtrusive Pressure Sensor Array for Central Sleep Apnea Screening,IEEE Guillermina Guerrero, Juha M. Kortelainen,Elvia Palacios, Anna M. Bianchi, Member,. IEEE,Giulia Tachino, Mirja Tenhunen, Martin O. Méndez,and Mark van Gils, Member, IEEE (2013) "Detection of Sleep-Disorbered Breathing with Pressure Bed Sensor",IEEE, vol. 35, pp

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