Abstract
Biosensing is an essential technique for monitoring and analyzing responses related to sleep status, and is undergoing rapid development. In this chapter, biosensing systems for sleep technology are introduced. First, we describe in detail non-invasive sensing methods such as polysomnography, MRI and contact/non-contact sensors. We then discuss biomolecular analysis. Finally, biochip technology is presented as we explore the potential development of nano/micro biotechnologies.
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References
Fisch BJ (1999) EEG primer: basic principles of digital and analog EEG, 3rd edn. Elsevier, Amsterdam/New York
Preston DC, Shapiro B (2005) Electromyography and neuromuscular disorders: clinical-electrophysiologic correlations, 2nd edn. Butterworth-Heinemann, Philadelphia
O’keefe J, Hammill S, Freed M, Pogwizd S (2008) The complete guide to ECGs, 3rd edn. Jones & Bartlett Learning, Royal Oak
Duchowski AT (2003) Eye tracking methodology: theory and practice, 1st edn. Springer, London
Wilson SB, Emerson R (2002) Spike detection: a review and comparison of algorithms. Clin Neurophysiol 113:1873–1881
Casson AJ, Yates DC, Smith SJM, Duncan JS, Rodrigues-Villegas E (2010) Wearable electroencephalography. IEEE Eng Med Biol 29(3):44–56
Ruffini G, Dunne S, Fuentemilla L, Grau C, Farres E, Marco-Pallares J, Watts PCP, Silva SRP (2008) First human trials of a dry electrophysiology sensor using a carbon nanotube array interface. Sens Actuator A – Phys 144:275–279
Yazicioglu RF, Merken P, Puers R, Van Hoof C (2008) A 200 μW eight-channel EEG acquisition ASIC for ambulatory EEG systems. IEEE J Solid-State Circuit 43:3025–3038
Casson AJ, Rodrigues-Villegas E (2007) A key power trade-off in wireless EEG headset design. In: Proceedings of the 3rd international IEEE EMBS conference neural engineering, EMBS NER, HI, pp 453–456
Wheeler KR, Jorgensen CC (2003) Gestures as input: neuroelectrics joysticks and keyboards. IEEE Pervasive Comput 2:56–61
Wheeler KR, Chang MH, Knuth KH (2006) Gesture-based control and EMG decomposition. IEEE Tran Syst Man Cybern Part C 36:503–514
Kamavuako EN, Farina D, Yoshida K, Jensen W (2009) Relationship between grasping force and features of single-channel intramuscular EMG signals. J Neurosci Methods 185:143–150
Coote JH (1982) Respiratory and circulatory control during sleep. J Exp Biol 100:223–244
Van de Borne P, Nguyen H, Biston P, Linkowski P, Degaute JP (1994) Effects of wake and sleep stages on the 24-h autonomic control of blood pressure and heart rate in recumbent men. Am J Physiol 266:H548–H554
Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology (1996) Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 93:1043–1065
Burton AR, Rahman K, Kadota Y, Lloyd A, Vollmer-Conna U (2010) Reduced heart rate variability predicts poor sleep quality in a case–control study of chronic fatigue syndrome. Exp Brain Res 204(1):71–78
Keyl C, Lemberger P, Rodig G, Dambacher M, Frey AW (1996) Changes in cardiac autonomic control during nocturnal repetitive oxygen desaturation episodes in patients with coronary artery disease. J Cardiovasc Risk 3:221–227
Zemaityte D, Varoneckas G, Plauska K, Kaukenas J (1986) Components of the heart rhythm power spectrum in wakefulness and individual sleep stages. Int J Psychophysiol 4:129–141
Vanoli E, Adamson PB, Ba L, Pinna GD, Lazzara R, Orr WC (1995) Heart rate variability during specific sleep stages. A comparison of healthy subjects with patients after myocardial infarction. Circulation 91:1918–1922
Mendez MO, Bianchi AM, Matteucci M, Cerutti S, Penzel T (2009) Sleep apnea screening by autoregressive models from a single ECG lead. Trans Biomed Eng 56:2828–2850
Somers VK, Dyken ME, Clary MP, Abboud FM (1995) Sympathetic neural mechanisms in obstructive sleep apnea. J Clin Invest 96:1897–1904
Kesek M, Franklin KA, Sahlin C, Lindberg E (2009) Heart rate variability during sleep and sleep apnoea in a population based study of 387 women. Clin Physiol Funct Imaging 29(4):309–315, Epub 2009 Apr 28
Itsuki N, Yamada M, Kubo M, Shinomiya K (2004) Improved method for measuring electrooculogram and its evaluation. In: 2004 8th international conference on control, automation, robotics and vision
Snyder F, Hobson JA, Morrison DF, Goldfrank F (1964) Changes in respiration, heart rate, and systolic blood pressure in human sleep. J Appl Physiol 19:417–422
Rechtschaffen A, Kales A (1968) A manual of standardized terminology, techniques, and scoring system for sleep stages of human subjects. U.S. Government Printing Office, Washington, DC
Sakai K, Sano K, Iwahara S (1973) Eye movements and hipocampal theta activity in cats. Electroencephalogr Clin Neurophysiol 34:547–549
Kuo TB, Yang CC (2009) Frequency domain analysis of electrooculogram and its correlation with cardiac sympathetic function. Exp Neurol 217(1):38–45
Buchsbaum MS, Gillin JC, Wu J et al (1989) Regional cerebral glucose metabolic rate in human sleep assessed by positron emission tomography. Life Sci 45:1349–1356
Maquet P (1997) Positron emission tomography studies of sleep and sleep disorders. J Neurol 244(Suppl 1):S23–S28
Maquet P, Phillips C (1998) Functional brain imaging of human sleep. J Sleep Res 7(Suppl 1):42–47
Maquet P (2000) Functional neuroimaging of normal human sleep by positron emission tomography. J Sleep Res 9(3):207–231
Maquet P (1999) Brain mechanisms of sleep: contribution of neuroimaging techniques. J Psychopharmacol 13(Suppl 1):S25–S28
Buchsbaum MS, Hazlett EA, Wu J, Bunney WE Jr (2001) Positron emission tomography with deoxyglucose-F18 imaging of sleep. Neuropsychopharmacology 25(5 Suppl):S50–S56
Maquet P, Peters J, Aerts J et al (1996) Functional neuroanatomy of human rapid-eye-movement sleep and dreaming. Nature 383:163–166
Braun AR, Balkin TJ, Wesenten NJ et al (1997) Regional cerebral blood flow throughout the sleep–wake cycle. An H2(15)O PET study. Brain 120:1173–1797
Braun AR, Balkin TJ, Wesenten NJ et al (1998) Dissociated pattern of activity in visual cortices and their projections during human rapid eye movement sleep. Science 279:91–95
Nofzinger EA, Mintun MA, Wiseman MB et al (1997) Forebrain activation in REM sleep: an FDG PET study. Brain Res 770:192–201
Kajimura N, Uchiyama M, Takayama Y, Uchida S, Uema T, Kato M et al (1999) Activity of midbrain reticular formation and neocortex during the progression of human non-rapid eye movement sleep. J Neurosci 19(22):10065–10073
Andersson JL, Onoe H, Hetta J, Lidstrom K, Valind S, Lilja A et al (1998) Brain networks affected by synchronized sleep visualized by positron emission tomography. J Cereb Blood Flow Metab 18(7):701–715
Steriade M, McCarley RW (1990) Brainstem control of wakefulness and sleep. Plenum Press, New York
Jones BE (1991) Paradoxical sleep and its chemical/structural substrates in the brain. Neuroscience 40(3):637–656
Maquet P, Dive D, Salmon E, Sadzot B, Franco G, Poirrier R et al (1990) Cerebral glucose utilization during sleep-wake cycle in man determined by positron emission tomography and [18F]2-fluoro-2-deoxy-d-glucose method. Brain Res 513(1):136–143
Madsen PL, Vorstrup S (1991) Cerebral blood flow and metabolism during sleep. Cerebrovasc Brain Metab Rev 3(4):281–296, View Record in Scopus|Cited By in Scopus (43)
Madsen PL, Holm S, Vorstrup S, Friberg L, Lassen NA, Wildschiodtz G (1991) Human regional cerebral blood flow during rapid-eye-movement sleep. J Cereb Blood Flow Metab 11(3):502–507
Dang-Vu TT, Desseilles M, Petit D, Mazza S, Montplaisir J, Maquet P (2007) Neuroimaging in sleep medicine. Sleep Med 8(4):349–372
Smith MT, Perlis ML, Chengazi VU, Pennington J, Soeffing J, Ryan JM et al (2002) Neuroimaging of NREM sleep in primary insomnia: a Tc-99-HMPAO single photon emission computed tomography study. Sleep 25(3):325–335
Smith MT, Perlis ML, Chengazi VU, Soeffing J, McCann U (2005) NREM sleep cerebral blood flow before and after behavior therapy for chronic primary insomnia: preliminary single photon emission computed tomography (SPECT) data. Sleep Med 6(1):93–94
Macey PM, Henderson LA, Macey KE, Alger JR, Frysinger RC, Woo MA et al (2002) Brain morphology associated with obstructive sleep apnea. Am J Respir Crit Care Med 166(10):1382–1387
Kamba M, Inoue Y, Higami S, Suto Y, Ogawa T, Chen W (2001) Cerebral metabolic impairment in patients with obstructive sleep apnoea: an independent association of obstructive sleep apnoea with white matter change. J Neurol Neurosurg Psychiatry 71(3):334–339
Alchanatis M, Deligiorgis N, Zias N, Amfilochiou A, Gotsis E, Karakatsani A et al (2004) Frontal brain lobe impairment in obstructive sleep apnoea: a proton MR spectroscopy study. Eur Respir J 24(6):980–986
Sato I, Nakajima M (2005) Non-contact breath motion monitoring system in full automation. In: Proceedings of the 2005 IEEE, engineering in medicine and biology 27th annual conference
Alihanka J, Vaahtoranta K, Saarikivi I (1981) A new method for long-term monitoring of the ballistocardiogram, heart rate, and respiration. Am J Physiol 240:384–392
Salmi T, Leinonen L (1986) Automatic analysis of sleep records with static charge sensitive bed. Electroencephalogr Clin Neurophysiol 64:84–87
Nishida Y et al (1998) Unrestrained and non-invasive monitoring of human’s respiration and posture in sleep using pressure sensor. J Robot Soc Jpn 16(5):705–711
Tanaka S (2000) Unconstrained and noninvasive automatic measurement of respiration and heart rates using a strain gauge. Trans SICE 36(3):227–233
Watanabe H, Watanabe K (2000) Study on the non-restrictive vital bio-measurement by the air mattress methods. Trans SICE 36(11):894–900
Monk TH, Reynolds CF, Kupfer DJ et al (1994) The Pittsburgh sleep diary. J Sleep Res 3(2):111–120
de Chazal P, O’Hare E, Fox N, Heneghan C (2008) Assessment of sleep/wake patterns using a non-contact biomotion sensor. Conf Proc IEEE Eng Med Biol Soc 2008:514–517
Benington JH, Heller HC (1995) Restoration of brain energy metabolism as the function of sleep. Prog Neurobiol 45:347–360
Dworak M, McCarley RW, Kim T, Kalinchuk AV, Basheer RJ (2010) Sleep and brain energy levels: ATP changes during sleep. Neuroscience 30(26):9007–9016
Cirelli C (2009) The genetic and molecular regulation of sleep: from fruit flies to humans. Nat Rev Neurosci 10:549–560
Honma S, Kawamoto T, Takagi Y, Fujimoto K, Sato F, Noshiro M, Kato Y, Honma K (2002) Dec1 and Dec2 are regulators of the mammalian molecular clock. Nature 419:841–844
Hartmann G, Tschop M, Fischer R, Bidlingmaier C, Riepl R, Tschop K et al (2000) High altitude increases circulating interleukin-6, interleukin-1 receptor antagonist and C-reactive protein. Cytokine 12(3):246–252
Vgontzas AN, Papanicolaou DA, Bixler EO, Kales A, Tyson K, Chrousos GP (1997) Elevation of plasma cytokines in disorders of excessive daytime sleepiness: role of sleep disturbance and obesity. J Clin Endocrinol Metab 82(5):1313–1316
Vgontzas AN, Papanicolaou DA, Bixler EO, Lotsikas A, Zachman K, Kales A et al (1999) Circadian interleukin-6 secretion and quantity and depth of sleep. J Clin Endocrinol Metab 84(8):2603–2607
Mirkin CA, Letsinger RK, Mucic RC, Storhoff JJ (1996) A DNA-based method for rationally assembling nanoparticles into macroscopic materials. Nature 382:607–609
Taton TA, Mirkin CA, Letsinger RL (2000) Scanometric DNA array detection with nanoparticle probes. Science 289:1757–1760
Nam J-M, Thaxton CS, Mirkin CA (2003) Nanoparticle-based bio-bar codes for the ultrasensitive detection of proteins. Science 301:1884–1886
Wu G, Datar RH, Hansen KM, Thundat T, Cote RJ, Majumdar A (2001) Bioassay of porstate-specific antigen (PSA) using microcantilevers. Nat Biotechnol 19:856–860
Zheng G, Patolsky F, Cui Y, Wang WU, Lieber CM (2005) Multiplexed electrical detection of cancer markers with nanowire sensor arrays. Nat Biotechnol 23:1294–1301
He B (1997) Principles and applications of the laplacian electrocardiogram. IEEE Eng Med Biol 16(5):133–138
Gu JJ, Meng M, Cook A, Faulkner MG (2001) A study of natural eye movement detection and ocular implant movement control using processed EOG signals. In: Proceedings of the IEEE international conference on robotics & automation, Seoul, Korea, May 2001, pp 1555–1560
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Lee, JK., Lin, CT. (2012). Biosensors for Sleep Technology. In: Chiang, RY., Kang, SC. (eds) Introduction to Modern Sleep Technology. Intelligent Systems, Control and Automation: Science and Engineering, vol 64. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5470-6_11
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DOI: https://doi.org/10.1007/978-94-007-5470-6_11
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