很多人都觉得他们睡得不好。或者，至少，很多人希望他们睡得更好，可能更多。人们如何在理解或诊断特定疾病方面都很重要。这是肥胖，慢性疼痛和特别是许多精神或脑病的情况。
但是，实际上决定一个人睡觉的程度并不容易，并且如果他们的睡眠是可疑的，那么以特殊的方式睡觉。传统方法是通过多面体创造图，其中受试者围绕头部围绕头部佩戴约12个电极，并且通常也散布在主体周围。在严重的情况下，他们也将在特殊的睡眠诊所过夜。
While this method is very detailed and generally accepted as a precise way to measure sleep, it comes with a list of serious drawbacks:
– It’s expensive (the equipment is expensive, and you need a trained person to set the whole thing up).
- 睡觉并不是特别舒适，很多人都感到不舒服，他们的头部覆盖着电线，电极胶，通常是头发网。
在许多ca -ses you can’t even use data from the first night’s sleep (precisely because people sleep even worse than usual when wearing it). Add to this that many sleep disturbances won’t be present every night, so perhaps the screening has to go on for even longer, with the person having to come back in every day to have the electrodes put back on!
由于这种情况，生物医学工程师和睡眠研究人员在创造多元组织的替代方面存在一般兴趣;被屏蔽的人可以置于更便宜，轻巧的替代方案可以置于自己，并且通过测量的东西干扰较少（即睡眠）。
耳脑
一些研究小组和公司决定专注于将电极放在耳朵或周围的暴露皮肤上（退房Wikipedia例如耳朵eeg）。我们在丹麦Aarhus大学的小组是该领域的Frontrunners之一（但绝不是唯一的），并且是第一个发布详细研究使用Ear-EEG来监控睡眠的可能性。
In our study: 9 people were equipped with both polysomnography and ear-EEG, and spend the night in their own beds. Afterwards, we used the ear-EEG measurements to automatically (using a computer algorithm) score their sleep, meaning that we determined at what time of night they were in different sleep stages (REM sleep, deep sleep etc.). We then measured how much our ear-EEG based sleep scoring agreed with the clinician’s scoring, when she used the polysomnography data.
我们发现了一个非常好的通信。特别是，如果我们允许该算法对特定人员微调，结果几乎与传统的多面程设置的更详细的测量结果几乎和人类专家一样好。
The results were almost as good as a human expert using the much more detailed measurements from the conventional polysomnography setup.
We also found that if we only cared about when the participants were asleep or awake, the results were almost perfect – much better than what can be achieved using just aSmartWatch或智能手机。
这显然是非常好消息。我们可以想象，在未来，许多人可以用疑似睡眠障碍的人使用轻量级脑电图，或者可能有一些疾病，这是通过睡眠不同的变化呈现出来的疾病。
想象一下，这些人将在邮件中收到一组耳塞，连接到他们的智能手机，两周后他们送回耳塞，他们的医生会确切地知道它们如何睡眠，更准确地说使用了睡眠日记，更舒适地（和便宜！），而不是每天都必须在两周内进入并安装了多组织摄影。
Of course, this is not a miracle fix – mobile EEG has the significant caveat that it does not pick up signals from the entire brain equally well. Our study only shows that it seems to do quite well for normal sleep in healthy people. Most likely it will have difficulties with some disorders, for which it will likely only be able to show that “something is wrong”, but not what.
Still, we expect that within the next decade, hopefully in the first half of it, there will be several, good methods for recording sleep (and brain activity in general) at home, and that this will be a valuable tool for clinicians.
Do you think the ear eeg would pick up the neg stimulation voltage of an RNS Neuropace unit. We want to correlate daily activity with therapy rate. (Therapies are electric “shocks” from RNs top of head to seizure foci hippocampus)
Enjoyed article. Not satisfied with wearable on wrist. Question.. do you think ear eeg will pick up the battery discharge when RNS inplant sends therapy to hippocampi. If so we want one of these with software to monitor therapy rate